{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T05:21:39Z","timestamp":1790832099059,"version":"4.1.0"},"reference-count":115,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T00:00:00Z","timestamp":1764633600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["NIDA P30DA029926, NCI R01CA252966"],"award-info":[{"award-number":["NIDA P30DA029926, NCI R01CA252966"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["IIS-2442593"],"award-info":[{"award-number":["IIS-2442593"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. ACM Interact. Mob. Wearable Ubiquitous Technol."],"published-print":{"date-parts":[[2025,12,2]]},"abstract":"<jats:p>Measuring activities and postures is an important area of research in ubiquitous computing, human-computer interaction, and personal health informatics. One approach that researchers use to collect large amounts of labeled data to develop models for activity recognition and measurement is asking participants to self-report their daily activities. Although participants can typically recall their sequence of daily activities, remembering the precise start and end times of each activity is significantly more challenging. ACAI is a novel, context-assisted Activity Annotation Inttivity Annotation Interface that enables participants to efficiently label their activities by accepting or adjusting system-generated activity suggestions while explicitly expressing uncertainty about temporal boundaries. We evaluated ACAI using two complementary studies: a usability study with 11 participants and a two-week, free-living study with 14 participants. We compared our activity annotation system with the current gold-standard methods for activity recall in health sciences research: 24PAR and its computerized version, ACT24. Our system reduced annotation time and perceived effort while significantly improving data validity and fidelity compared to both standard human-supervised and unsupervised activity recall approaches. We discuss the limitations of our design and implications for developing adaptive, human-in-the-loop activity recognition systems used to collect self-report data on activity.<\/jats:p>","DOI":"10.1145\/3770710","type":"journal-article","created":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T19:42:32Z","timestamp":1764704552000},"page":"1-34","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["A Context-Assisted, Semi-Automated Activity Recall Interface Allowing Uncertainty"],"prefix":"10.1145","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-8942-5364","authenticated-orcid":false,"given":"Ha","family":"Le","sequence":"first","affiliation":[{"name":"Khoury College of Computer Sciences, Northeastern University, Boston, Massachusetts, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7256-7713","authenticated-orcid":false,"given":"Veronika","family":"Potter","sequence":"additional","affiliation":[{"name":"Khoury College of Computer Science, Northeastern University, Boston, Massachusetts, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7969-322X","authenticated-orcid":false,"given":"Akshat","family":"Choube","sequence":"additional","affiliation":[{"name":"Khoury College of Computer Sciences, Northeastern University, Boston, Massachusetts, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3720-9206","authenticated-orcid":false,"given":"Rithika","family":"Lakshminarayanan","sequence":"additional","affiliation":[{"name":"Khoury College of Computer Sciences and Bouve College of Health Sciences, Northeastern University, Boston, Massachusetts, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3891-5460","authenticated-orcid":false,"given":"Varun","family":"Mishra","sequence":"additional","affiliation":[{"name":"Khoury College of Computer Sciences and Bouve College of Health Sciences, Northeastern University, Boston, Massachusetts, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0287-2553","authenticated-orcid":false,"given":"Stephen","family":"Intille","sequence":"additional","affiliation":[{"name":"Khoury College of Computer Sciences and Bouve College of Health Sciences, Northeastern University, Boston, Massachusetts, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,12,2]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3351228"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/s22186881"},{"key":"e_1_2_2_3_1","volume-title":"April","author":"Adams Roy J.","year":"2017","unstructured":"Roy J. Adams and Benjamin M. Marlin. Learning time series detection models from temporally imprecise labels, April 2017. arXiv:1611.02258 [stat]."},{"key":"e_1_2_2_4_1","first-page":"9","volume-title":"2024 International Conference on Activity and Behavior Computing (ABC)","author":"Alia Sayeda Shamma","unstructured":"Sayeda Shamma Alia and Paula Lago. Daily routine recognition from longitudinal, real-life wearable sensor data for the elderly. In 2024 International Conference on Activity and Behavior Computing (ABC), pages 1\u20139. IEEE, May 2024."},{"key":"e_1_2_2_5_1","first-page":"3","article-title":"A public domain dataset for human activity recognition using smartphones","volume":"3","author":"Anguita Davide","year":"2013","unstructured":"Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, and Jorge Luis Reyes-Ortiz. A public domain dataset for human activity recognition using smartphones. Essan., 3:3, 2013.","journal-title":"Essan."},{"issue":"4","key":"e_1_2_2_6_1","first-page":"1","article-title":"Step-aware voice assistant on a smartwatch enabled by multimodal procedure tracking and large language models. Proceedings of the ACM on Interactive, Mobile","volume":"8","author":"Arakawa Riku","year":"2024","unstructured":"Riku Arakawa, Jill Fain Lehman, and Mayank Goel. PrISM-Q&A: Step-aware voice assistant on a smartwatch enabled by multimodal procedure tracking and large language models. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 8(4):1\u201326, November 2024.","journal-title":"Wearable and Ubiquitous Technologies"},{"key":"e_1_2_2_7_1","first-page":"840","volume-title":"27th International Conference on Intelligent User Interfaces","author":"Arakawa Riku","year":"2022","unstructured":"Riku Arakawa, Hiromu Yakura, and Masataka Goto. BeParrot: Efficient interface for transcribing unclear speech via respeaking. In 27th International Conference on Intelligent User Interfaces, pages 832\u2013840, Helsinki Finland, March 2022. ACM."},{"key":"e_1_2_2_8_1","first-page":"243","volume-title":"Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers","author":"Atkinson Gentry","year":"2020","unstructured":"Gentry Atkinson and Vangelis Metsis. Identifying label noise in time-series datasets. In Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, pages 238\u2013243, New York, NY, USA, September 2020. ACM."},{"key":"e_1_2_2_9_1","first-page":"16","volume-title":"Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems","author":"Bansal Gagan","unstructured":"Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Tulio Ribeiro, and Daniel Weld. Does the whole exceed its parts? The effect of AI explanations on complementary team performance. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pages 1\u201316. ACM, May 2021."},{"key":"e_1_2_2_10_1","first-page":"17","volume-title":"Pervasive Computing","author":"Bao Ling","unstructured":"Ling Bao and Stephen S. Intille. Activity recognition from user-annotated acceleration data. In Takeo Kanade, Josef Kittler, Jon M. Kleinberg, Friedemann Mattern, John C. Mitchell, Oscar Nierstrasz, C. Pandu Rangan, Bernhard Steffen, Demetri Terzopoulos, Dough Tygar, Moshe Y. Vardi, Alois Ferscha, and Friedemann Mattern, editors, Pervasive Computing, volume 3001, pages 1\u201317. Springer Berlin Heidelberg, 2004."},{"issue":"12","key":"e_1_2_2_11_1","doi-asserted-by":"crossref","first-page":"1226","DOI":"10.1038\/s41592-019-0582-9","article-title":"Interactive machine learning for (bio)image analysis","volume":"16","author":"Berg Stuart","year":"2019","unstructured":"Stuart Berg, Dominik Kutra, Thorben Kroeger, Christoph N. Straehle, Bernhard X. Kausler, Carsten Haubold, Martin Schiegg, Janez Ales, Thorsten Beier, Markus Rudy, Kemal Eren, Jaime I Cervantes, Buote Xu, Fynn Beuttenmueller, Adrian Wolny, Chong Zhang, Ullrich Koethe, Fred A. Hamprecht, and Anna Kreshuk. ilastik: Interactive machine learning for (bio)image analysis. Nature Methods, 16(12):1226\u20131232, December 2019. Publisher: Springer Science and Business Media LLC.","journal-title":"Nature Methods"},{"key":"e_1_2_2_12_1","volume-title":"Usability Evaluation in Industry","author":"Brooke John","year":"1996","unstructured":"John Brooke. SUS - A quick and dirty usability scale. Usability Evaluation in Industry, 1996."},{"key":"e_1_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3449287"},{"issue":"2","key":"e_1_2_2_14_1","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1123\/jpah.6.2.211","article-title":"Validation of a Computerized 24-Hour Physical Activity Recall (24PAR) Instrument With Pattern-Recognition Activity Monitors","volume":"6","author":"Calabro Miguel A.","year":"2009","unstructured":"Miguel A. Calabro, Gregory J. Welk, Alicia L. Carriquiry, Sarah M. Nusser, Nicholas K. Beyler, and Charles E. Matthews. Validation of a Computerized 24-Hour Physical Activity Recall (24PAR) Instrument With Pattern-Recognition Activity Monitors. Journal of Physical Activity and Health, 6(2):211\u2013220, March 2009.","journal-title":"Journal of Physical Activity and Health"},{"key":"e_1_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2021.3114803"},{"issue":"3","key":"e_1_2_2_16_1","first-page":"1","article-title":"Is now a good time to talk?: Opportune moments for proactive interactions with smart speakers. Proceedings of the ACM on Interactive, Mobile","volume":"4","author":"Cha Narae","year":"2020","unstructured":"Narae Cha, Auk Kim, Cheul Young Park, Soowon Kang, Mingyu Park, Jae-Gil Lee, Sangsu Lee, and Uichin Lee. Hello there! Is now a good time to talk?: Opportune moments for proactive interactions with smart speakers. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(3):1\u201328, September 2020.","journal-title":"Wearable and Ubiquitous Technologies"},{"issue":"1","key":"e_1_2_2_17_1","doi-asserted-by":"crossref","first-page":"1135","DOI":"10.1038\/s41597-024-03960-3","article-title":"A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition","volume":"11","author":"Chan Shing","year":"2024","unstructured":"Shing Chan, Yuan Hang, Catherine Tong, Aidan Acquah, Abram Schonfeldt, Jonathan Gershuny, and Aiden Doherty. CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition. Scientific Data, 11(1):1135, October 2024.","journal-title":"Scientific Data"},{"key":"e_1_2_2_18_1","first-page":"682","volume-title":"Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing","author":"Chang Yung-Ju","unstructured":"Yung-Ju Chang, Gaurav Paruthi, and Mark W. Newman. A field study comparing approaches to collecting annotated activity data in real-world settings. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pages 671\u2013682. ACM, September 2015."},{"key":"e_1_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2012.12.014"},{"key":"e_1_2_2_20_1","volume-title":"Vedant Das Swain, and Varun Mishra. SeSaMe: A framework to simulate self-reported ground truth for mental health sensing studies","author":"Choube Akshat","year":"2024","unstructured":"Akshat Choube, Vedant Das Swain, and Varun Mishra. SeSaMe: A framework to simulate self-reported ground truth for mental health sensing studies, 2024."},{"key":"e_1_2_2_21_1","doi-asserted-by":"crossref","first-page":"792065","DOI":"10.3389\/fcomp.2021.792065","article-title":"A multimodal dataset for video- and wearable, object and ambient sensors-based human activity recognition","volume":"3","author":"Ciliberto Mathias","year":"2021","unstructured":"Mathias Ciliberto, Vitor Fortes Rey, Alberto Calatroni, Paul Lukowicz, and Daniel Roggen. Opportunity++: A multimodal dataset for video- and wearable, object and ambient sensors-based human activity recognition. Frontiers in Computer Science, 3:792065, December 2021.","journal-title":"Frontiers in Computer Science"},{"key":"e_1_2_2_22_1","first-page":"1151","volume-title":"18th ACM Conference on Recommender Systems","author":"Coppens Ine","unstructured":"Ine Coppens, Toon De Pessemier, and Luc Martens. Balancing habit repetition and new activity exploration: A longitudinal micro-randomized trial in physical activity recommendations. In 18th ACM Conference on Recommender Systems, pages 1147\u20131151. ACM, October 2024."},{"key":"e_1_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.3390\/s19143035"},{"key":"e_1_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2011.53"},{"key":"e_1_2_2_25_1","first-page":"1407","volume-title":"2018 24th International Conference on Pattern Recognition (ICPR)","author":"Dehzangi Omid","year":"2018","unstructured":"Omid Dehzangi and Vaishali Sahu. IMU-Based Robust Human Activity Recognition using Feature Analysis, Extraction, and Reduction. In 2018 24th International Conference on Pattern Recognition (ICPR), pages 1402\u20131407, Beijing, August 2018. IEEE."},{"key":"e_1_2_2_26_1","first-page":"401","volume-title":"26th International Conference on Intelligent User Interfaces","author":"Desmond Michael","unstructured":"Michael Desmond, Michael Muller, Zahra Ashktorab, Casey Dugan, Evelyn Duesterwald, Kristina Brimijoin, Catherine Finegan-Dollak, Michelle Brachman, Aabhas Sharma, Narendra Nath Joshi, and Qian Pan. Increasing the speed and accuracy of data labeling through an AI assisted interface. In 26th International Conference on Intelligent User Interfaces, pages 392\u2013401. ACM, April 2021."},{"issue":"5","key":"e_1_2_2_27_1","doi-asserted-by":"crossref","first-page":"1948","DOI":"10.1016\/j.chb.2011.05.002","article-title":"O'Connor. Passively recognising human activities through lifelogging","volume":"27","author":"Doherty Aiden R.","year":"2011","unstructured":"Aiden R. Doherty, Niamh Caprani, Ciar\u00e1n \u00d3 Conaire, Vaiva Kalnikaite, Cathal Gurrin, Alan F. Smeaton, and Noel E. O'Connor. Passively recognising human activities through lifelogging. Computers in Human Behavior, 27(5):1948\u20131958, September 2011.","journal-title":"Computers in Human Behavior"},{"key":"e_1_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2014.00012"},{"key":"e_1_2_2_29_1","first-page":"260","article-title":"Momentary assessment of adults' physical activity and sedentary behavior: Feasibility and validity","volume":"3","author":"Dunton Genevieve Fridlund","year":"2012","unstructured":"Genevieve Fridlund Dunton, Yue Liao, Keito Kawabata, and Stephen Intille. Momentary assessment of adults' physical activity and sedentary behavior: Feasibility and validity. Frontiers in Psychology, 3:260, 2012.","journal-title":"Frontiers in Psychology"},{"key":"e_1_2_2_30_1","first-page":"2005","volume-title":"Findings of the Association for Computational Linguistics: EMNLP","author":"Evensen Sara","year":"2020","unstructured":"Sara Evensen, Chang Ge, and Cagatay Demiralp. Ruler: Data programming by demonstration for document labeling. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 1996\u20132005. Association for Computational Linguistics, 2020."},{"key":"e_1_2_2_31_1","unstructured":"Inc Fitbit. Fitbit."},{"key":"e_1_2_2_32_1","volume-title":"YAMNet: Yet another multilabel neural network for audio event recognition","author":"Research Google","year":"2017","unstructured":"Google Research. YAMNet: Yet another multilabel neural network for audio event recognition., 2017."},{"key":"e_1_2_2_33_1","first-page":"18990","volume-title":"2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Kristen","unstructured":"Kristen Grauman et al. Ego4D: Around the world in 3,000 hours of egocentric video. In 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 18973\u201318990. IEEE, June 2022."},{"key":"e_1_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.amepre.2012.11.010"},{"key":"e_1_2_2_35_1","volume-title":"Heterogeneity activity recognition [dataset]","author":"Henrik Blunck Sourav Bhattacharya","year":"2015","unstructured":"Sourav Bhattacharya Henrik Blunck. Heterogeneity activity recognition [dataset], 2015."},{"issue":"1","key":"e_1_2_2_36_1","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1016\/j.jshs.2023.10.010","article-title":"2024 Adult Compendium of Physical Activities: A third update of the energy costs of human activities","volume":"13","author":"Herrmann Stephen D.","year":"2024","unstructured":"Stephen D. Herrmann, Erik A. Willis, Barbara E. Ainsworth, Tiago V. Barreira, Mary Hastert, Chelsea L. Kracht, John M. Schuna, Zhenghua Cai, Minghui Quan, Catrine Tudor-Locke, Melicia C. Whitt-Glover, and David R. Jacobs. 2024 Adult Compendium of Physical Activities: A third update of the energy costs of human activities. Journal of Sport and Health Science, 13(1):6\u201312, January 2024.","journal-title":"Journal of Sport and Health Science"},{"issue":"3","key":"e_1_2_2_37_1","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1123\/jmpb.2020-0052","article-title":"Protocol and data description: The free-living activity study for health","volume":"4","author":"Hibbing Paul R.","year":"2021","unstructured":"Paul R. Hibbing, Nicholas R. Lamoureux, Charles E. Matthews, and Gregory J. Welk. Protocol and data description: The free-living activity study for health. Journal for the Measurement of Physical Behaviour, 4(3):197\u2013204, September 2021.","journal-title":"Journal for the Measurement of Physical Behaviour"},{"key":"e_1_2_2_38_1","first-page":"199","volume-title":"Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia","author":"Himmelsbach Julia","unstructured":"Julia Himmelsbach, Markus Garschall, Sebastian Egger, Susanne Steffek, and Manfred Tscheligi. Enabling accessibility through multimodality?: Interaction modality choices of older adults. In Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia, pages 195\u2013199. ACM, November 2015."},{"key":"e_1_2_2_39_1","doi-asserted-by":"crossref","first-page":"1379788","DOI":"10.3389\/fcomp.2024.1379788","article-title":"A matter of annotation: An empirical study on in situ and self-recall activity annotations from wearable sensors","volume":"6","author":"Hoelzemann Alexander","year":"2024","unstructured":"Alexander Hoelzemann and Kristof Van Laerhoven. A matter of annotation: An empirical study on in situ and self-recall activity annotations from wearable sensors. Frontiers in Computer Science, 6:1379788, July 2024.","journal-title":"Frontiers in Computer Science"},{"key":"e_1_2_2_40_1","first-page":"234","volume-title":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","author":"Hou Chengli","unstructured":"Chengli Hou. A study on IMU-based human activity recognition using deep learning and traditional machine learning. In 2020 5th International Conference on Computer and Communication Systems (ICCCS), pages 225\u2013234. IEEE, May 2020."},{"key":"e_1_2_2_41_1","first-page":"1128","volume-title":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","author":"Intille Stephen","unstructured":"Stephen Intille, Caitlin Haynes, Dharam Maniar, Aditya Ponnada, and Justin Manjourides. micro-EMA: Microinteraction-based ecological momentary assessment (EMA) using a smartwatch. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pages 1124\u20131128. ACM, September 2016."},{"key":"e_1_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.04.062"},{"issue":"3","key":"e_1_2_2_43_1","first-page":"1","article-title":"Towards human-AI collaboration for facilitating creativity and style generation in fashion design. Proceedings of the ACM on Interactive, Mobile","volume":"8","author":"Jiang Jianan","year":"2024","unstructured":"Jianan Jiang, Di Wu, Hanhui Deng, Yidan Long, Wenyi Tang, Xiang Li, Can Liu, Zhanpeng Jin, Wenlei Zhang, and Tangquan Qi. HAIGEN: Towards human-AI collaboration for facilitating creativity and style generation in fashion design. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 8(3):1\u201327, August 2024.","journal-title":"Wearable and Ubiquitous Technologies"},{"key":"e_1_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1123\/jmpb.2018-0068"},{"key":"e_1_2_2_45_1","first-page":"14","volume-title":"Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems","author":"Kaur Harmanpreet","unstructured":"Harmanpreet Kaur, Harsha Nori, Samuel Jenkins, Rich Caruana, Hanna Wallach, and Jennifer Wortman Vaughan. Interpreting interpretability: Understanding data scientists' use of interpretability tools for machine learning. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pages 1\u201314. ACM, April 2020."},{"issue":"6","key":"e_1_2_2_46_1","doi-asserted-by":"crossref","first-page":"1054","DOI":"10.1249\/MSS.0000000000003135","article-title":"Validation of ACT24 version 2.0 for estimating behavioral domains, active and sedentary time","volume":"55","author":"Keadle Sarah Kozey","year":"2023","unstructured":"Sarah Kozey Keadle, Shreya Patel, David Berrigan, Cami N. Christopher, Jeffery Huang, Pedro F. Saint-Maurice, Erikka Loftfield, and Charles E. Matthews. Validation of ACT24 version 2.0 for estimating behavioral domains, active and sedentary time. Medicine & Science in Sports & Exercise, 55(6):1054\u20131062, June 2023.","journal-title":"Medicine & Science in Sports & Exercise"},{"key":"e_1_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.amepre.2012.11.006"},{"key":"e_1_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.amepre.2012.11.004"},{"key":"e_1_2_2_49_1","first-page":"110","volume-title":"Asian CHI Symposium","author":"Khan Mina","year":"2021","unstructured":"Mina Khan and Pattie Maes. Tracking diverse feelings and activities encourages self-guided holistic behavior change. In Asian CHI Symposium 2021, pages 104\u2013110. ACM, May 2021."},{"key":"e_1_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph182010593"},{"issue":"1","key":"e_1_2_2_51_1","first-page":"1","article-title":"exHAR: An interface for helping non-experts develop and debug knowledge-based human activity recognition systems. Proceedings of the ACM on Interactive, Mobile","volume":"8","author":"Kianpisheh Mohammad","year":"2024","unstructured":"Mohammad Kianpisheh, Alex Mariakakis, and Khai N. Truong. exHAR: An interface for helping non-experts develop and debug knowledge-based human activity recognition systems. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 8(1):1\u201330, March 2024.","journal-title":"Wearable and Ubiquitous Technologies"},{"key":"e_1_2_2_52_1","first-page":"21","volume-title":"CHI Conference on Human Factors in Computing Systems","author":"Kim Young-Ho","year":"2022","unstructured":"Young-Ho Kim, Diana Chou, Bongshin Lee, Margaret Danilovich, Amanda Lazar, David E. Conroy, Hernisa Kacorri, and Eun Kyoung Choe. MyMove: Facilitating older adults to collect in-situ activity labels on a smartwatch with speech. In CHI Conference on Human Factors in Computing Systems, pages 1\u201321, New York, NY, USA, April 2022. ACM."},{"issue":"3","key":"e_1_2_2_53_1","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1080\/02640414.2016.1161218","article-title":"The accuracy of the 24-h activity recall method for assessing sedentary behaviour: The physical activity measurement survey (PAMS) project","volume":"35","author":"Kim Youngwon","year":"2017","unstructured":"Youngwon Kim and Gregory J. Welk. The accuracy of the 24-h activity recall method for assessing sedentary behaviour: The physical activity measurement survey (PAMS) project. Journal of Sports Sciences, 35(3):255\u2013261, February 2017.","journal-title":"Journal of Sports Sciences"},{"issue":"2","key":"e_1_2_2_54_1","first-page":"1","article-title":"A conversational system for engaging users in reflection on physical activity. Proceedings of the ACM on Interactive, Mobile","volume":"2","author":"Kocielnik Rafal","year":"2018","unstructured":"Rafal Kocielnik, Lillian Xiao, Daniel Avrahami, and Gary Hsieh. Reflection companion: A conversational system for engaging users in reflection on physical activity. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(2):1\u201326, July 2018.","journal-title":"Wearable and Ubiquitous Technologies"},{"key":"e_1_2_2_55_1","first-page":"333","volume-title":"Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers","author":"Korpela Joseph","year":"2021","unstructured":"Joseph Korpela, Takayuki Akiyama, Takehiro Niikura, and Katsuyuki Nakamura. Reducing label fragmentation during time-series data annotation to reduce annotation costs. In Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, pages 328\u2013333, Virtual USA, September 2021. ACM."},{"key":"e_1_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/1964897.1964918"},{"key":"e_1_2_2_57_1","first-page":"117","volume-title":"Proceedings of the 23rd International Symposium on Wearable Computers","author":"Kwon Hyeokhyen","unstructured":"Hyeokhyen Kwon, Gregory D. Abowd, and Thomas Pl\u00f6tz. Handling annotation uncertainty in human activity recognition. In Proceedings of the 23rd International Symposium on Wearable Computers, pages 109\u2013117. ACM, September 2019."},{"key":"e_1_2_2_58_1","first-page":"38","volume-title":"Proceedings of the Conference on Fairness, Accountability, and Transparency","author":"Lai Vivian","unstructured":"Vivian Lai and Chenhao Tan. On human predictions with explanations and predictions of machine learning models: A case study on deception detection. In Proceedings of the Conference on Fairness, Accountability, and Transparency, pages 29\u201338. ACM, January 2019."},{"key":"e_1_2_2_59_1","first-page":"12","volume-title":"Proceedings of the 18th EAI International Conference on Pervasive Computing Technologies for Healthcare","author":"Lakshminarayanan Rithika","year":"2024","unstructured":"Rithika Lakshminarayanan, Arushi Uppal, Ha Le, James Spilsbury, and Stephen Intille. Detecting sleep disruptions in adolescents using context-sensitive ecological momentary assessment: A feasibility study. In Proceedings of the 18th EAI International Conference on Pervasive Computing Technologies for Healthcare, pages 1\u201312, New York, NY, USA, 2024. ACM."},{"issue":"3","key":"e_1_2_2_60_1","first-page":"1","article-title":"Collecting self-reported physical activity and posture data using audio-based ecological momentary assessment. Proceedings of the ACM on Interactive, Mobile","volume":"8","author":"Le Ha","year":"2024","unstructured":"Ha Le, Rithika Lakshminarayanan, Jixin Li, Varun Mishra, and Stephen Intille. Collecting self-reported physical activity and posture data using audio-based ecological momentary assessment. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 8(3):1\u201335, 2024.","journal-title":"Wearable and Ubiquitous Technologies"},{"key":"e_1_2_2_61_1","volume-title":"CHI Conference on Human Factors in Computing Systems (CHI' 25)","author":"Le Ha","year":"2025","unstructured":"Ha Le, Veronika Potter, Rithika Lakshminarayanan, Varun Mishra, and Stephen Intille. Feasibility and utility of multimodal micro ecological momentary assessment on a smartwatch. CHI Conference on Human Factors in Computing Systems (CHI' 25), 2025."},{"key":"e_1_2_2_62_1","volume-title":"Kevin Zhao, and Bilge Mutlu. VeriPlan: Integrating formal verification and LLMs into end-user planning","author":"Lee Christine","year":"2025","unstructured":"Christine Lee, David Porfirio, Xinyu Jessica Wang, Kevin Zhao, and Bilge Mutlu. VeriPlan: Integrating formal verification and LLMs into end-user planning, February 2025."},{"key":"e_1_2_2_63_1","first-page":"19","volume-title":"CHI Conference on Human Factors in Computing Systems","author":"Lee Mina","unstructured":"Mina Lee, Percy Liang, and Qian Yang. CoAuthor: Designing a human-AI collaborative writing dataset for exploring language model capabilities. In CHI Conference on Human Factors in Computing Systems, pages 1\u201319. ACM, April 2022."},{"key":"e_1_2_2_64_1","volume-title":"February","author":"Lei Ying","year":"2025","unstructured":"Ying Lei, Yancheng Cao, Will Wang, Yuanzhe Dong, Changchang Yin, Weidan Cao, Ping Zhang, Jingzhen Yang, Bingsheng Yao, Yifan Peng, Chunhua Weng, Randy Auerbach, Lena Mamykina, Dakuo Wang, Yuntao Wang, and Xuhai Xu. WatchGuardian: Enabling user-defined personalized just-in-time intervention on smartwatch, February 2025."},{"key":"e_1_2_2_65_1","volume-title":"Vital Insight: Assisting experts' context-driven sensemaking of multi-modal personal tracking data using visualization and human-in-the-loop LLM agents","author":"Li Jiachen","year":"2024","unstructured":"Jiachen Li, Xiwen Li, Justin Steinberg, Akshat Choube, Bingsheng Yao, Xuhai Xu, Dakuo Wang, Elizabeth Mynatt, and Varun Mishra. Vital Insight: Assisting experts' context-driven sensemaking of multi-modal personal tracking data using visualization and human-in-the-loop LLM agents, 2024."},{"key":"e_1_2_2_66_1","first-page":"16","volume-title":"Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems","author":"Li Jingshu","unstructured":"Jingshu Li, Yitian Yang, Q. Vera Liao, Junti Zhang, and Yi-Chieh Lee. As confidence aligns: Exploring the effect of AI confidence on human self-confidence in human-AI decision making. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, pages 1\u201316. ACM, April 2025."},{"key":"e_1_2_2_67_1","doi-asserted-by":"publisher","DOI":"10.1145\/3689373"},{"key":"e_1_2_2_68_1","first-page":"23","volume-title":"David Hutchison, Takeo Kanade, Josef Kittler, Jon M. Kleinberg, Friedemann Mattern, John C. Mitchell, Moni Naor, Oscar Nierstrasz, C. Pandu Rangan","author":"Luo Quanfeng","unstructured":"Quanfeng Luo, Jiaji Zhou, Fei Wang, and Liping Shen. Context aware multimodal interaction model in standard natural classroom. In David Hutchison, Takeo Kanade, Josef Kittler, Jon M. Kleinberg, Friedemann Mattern, John C. Mitchell, Moni Naor, Oscar Nierstrasz, C. Pandu Rangan, Bernhard Steffen, Madhu Sudan, Demetri Terzopoulos, Doug Tygar, Moshe Y. Vardi, Gerhard Weikum, Fu Lee Wang, Joseph Fong, Liming Zhang, and Victor S. K. Lee, editors, Hybrid Learning and Education, volume 5685, pages 13\u201323. Springer Berlin Heidelberg, 2009."},{"key":"e_1_2_2_69_1","first-page":"19","volume-title":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","author":"Ma Shuai","unstructured":"Shuai Ma, Ying Lei, Xinru Wang, Chengbo Zheng, Chuhan Shi, Ming Yin, and Xiaojuan Ma. Who should I trust: AI or myself? Leveraging human and AI correctness likelihood to promote appropriate trust in AI-assisted decision-making. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, pages 1\u201319. ACM, April 2023."},{"key":"e_1_2_2_70_1","first-page":"20","volume-title":"Proceedings of the CHI Conference on Human Factors in Computing Systems","author":"Ma Shuai","unstructured":"Shuai Ma, Xinru Wang, Ying Lei, Chuhan Shi, Ming Yin, and Xiaojuan Ma. \u201cAre you really sure?\u201d Understanding the effects of human self-confidence calibration in AI-assisted decision making. In Proceedings of the CHI Conference on Human Factors in Computing Systems, pages 1\u201320. ACM, May 2024."},{"key":"e_1_2_2_71_1","first-page":"773","volume-title":"Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers","author":"Mairittha Tittaya","unstructured":"Tittaya Mairittha, Nattaya Mairittha, and Sozo Inoue. A dialogue-based annotation for activity recognition. In Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, pages 768\u2013773. ACM, September 2019."},{"issue":"5","key":"e_1_2_2_72_1","doi-asserted-by":"crossref","first-page":"884","DOI":"10.1249\/MSS.0000000000003102","article-title":"Physical Activity Levels (PAL) in US Adults\u20142019","volume":"55","author":"Matthews Charles E.","year":"2023","unstructured":"Charles E. Matthews, Shreya Patel, Pedro F. Saint-Maurice, Erikka Loftfield, Sarah K. Keadle, Kong Y. Chen, Robert Brychta, Samuel Lamunion, and David Berrigan. Physical Activity Levels (PAL) in US Adults\u20142019. Medicine & Science in Sports & Exercise, 55(5):884\u2013891, May 2023.","journal-title":"Medicine & Science in Sports & Exercise"},{"key":"e_1_2_2_73_1","first-page":"940","volume-title":"Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers","author":"Mishra Varun","unstructured":"Varun Mishra, Byron Lowens, Sarah Lord, Kelly Caine, and David Kotz. Investigating contextual cues as indicators for EMA delivery. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, pages 935\u2013940. ACM, September 2017."},{"issue":"1","key":"e_1_2_2_74_1","doi-asserted-by":"crossref","first-page":"17456","DOI":"10.1038\/s41598-021-97032-w","article-title":"Effects of order on memory of event times","volume":"11","author":"Naim Michelangelo","year":"2021","unstructured":"Michelangelo Naim, Mikhail Katkov, and Misha Tsodyks. Effects of order on memory of event times. Scientific Reports, 11(1):17456, August 2021.","journal-title":"Scientific Reports"},{"issue":"4","key":"e_1_2_2_75_1","first-page":"1","article-title":"MindScape study: Integrating LLM and behavioral sensing for personalized AI-Driven journaling experiences. Proceedings of the ACM on Interactive, Mobile","volume":"8","author":"Nepal Subigya","year":"2024","unstructured":"Subigya Nepal, Arvind Pillai, William Campbell, Talie Massachi, Michael V. Heinz, Ashmita Kunwar, Eunsol Soul Choi, Xuhai Xu, Joanna Kuc, Jeremy F. Huckins, Jason Holden, Sarah M. Preum, Colin Depp, Nicholas Jacobson, Mary P. Czerwinski, Eric Granholm, and Andrew T. Campbell. MindScape study: Integrating LLM and behavioral sensing for personalized AI-Driven journaling experiences. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 8(4):1\u201344, November 2024.","journal-title":"Wearable and Ubiquitous Technologies"},{"key":"e_1_2_2_76_1","first-page":"19","volume-title":"Proceedings of the CHI Conference on Human Factors in Computing Systems","author":"Neupane Sameer","unstructured":"Sameer Neupane, Mithun Saha, Nasir Ali, Timothy Hnat, Shahin Alan Samiei, Anandatirtha Nandugudi, David M. Almeida, and Santosh Kumar. Momentary stressor logging and reflective visualizations: Implications for stress management with wearables. In Proceedings of the CHI Conference on Human Factors in Computing Systems, pages 1\u201319. ACM, May 2024."},{"key":"e_1_2_2_77_1","first-page":"8","volume-title":"2023 5th International Conference on Bio-engineering for Smart Technologies (BioSMART)","author":"Nia Nafiseh Ghaffar","unstructured":"Nafiseh Ghaffar Nia, Erkan Kaplanoglu, Ahad Nasab, and Hong Qin. Human activity recognition using machine learning algorithms based on IMU data. In 2023 5th International Conference on Bio-engineering for Smart Technologies (BioSMART), pages 1\u20138. IEEE, June 2023."},{"key":"e_1_2_2_78_1","first-page":"17","volume-title":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","author":"Pinski Marc","unstructured":"Marc Pinski, Martin Adam, and Alexander Benlian. AI knowledge: Improving AI delegation through human enablement. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, pages 1\u201317. ACM, April 2023."},{"key":"e_1_2_2_79_1","first-page":"2854","volume-title":"2012 IEEE Conference on Computer Vision and Pattern Recognition","author":"Pirsiavash H.","unstructured":"H. Pirsiavash and D. Ramanan. Detecting activities of daily living in first-person camera views. In 2012 IEEE Conference on Computer Vision and Pattern Recognition, pages 2847\u20132854. IEEE, June 2012."},{"issue":"3","key":"e_1_2_2_80_1","first-page":"1","article-title":"Microinteraction ecological momentary assessment response rates: Effect of microinteractions or the smartwatch? Proceedings of the ACM on Interactive, Mobile","volume":"1","author":"Ponnada Aditya","year":"2017","unstructured":"Aditya Ponnada, Caitlin Haynes, Dharam Maniar, Justin Manjourides, and Stephen Intille. Microinteraction ecological momentary assessment response rates: Effect of microinteractions or the smartwatch? Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(3):1\u201316, September 2017.","journal-title":"Wearable and Ubiquitous Technologies"},{"issue":"1","key":"e_1_2_2_81_1","first-page":"1","article-title":"Contextual biases in microinteraction ecological momentary assessment (micro-EMA) non-response. Proceedings of the ACM on Interactive, Mobile","volume":"6","author":"Ponnada Aditya","year":"2022","unstructured":"Aditya Ponnada, Jixin Li, Shirlene Wang, Wei-Lin Wang, Bridgette Do, Genevieve F. Dunton, and Stephen S. Intille. Contextual biases in microinteraction ecological momentary assessment (micro-EMA) non-response. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 6(1):1\u201324, March 2022.","journal-title":"Wearable and Ubiquitous Technologies"},{"key":"e_1_2_2_82_1","volume-title":"March","author":"Ponnada Aditya","year":"2021","unstructured":"Aditya Ponnada, Binod Thapa-Chhetry, Justin Manjourides, and Stephen Intille. Measuring criterion validity of microinteraction ecological momentary assessment (Micro-EMA): Exploratory pilot Study with physical activity measurement. JMIR mHealth and uHealth, 9(3):e23391, March 2021."},{"key":"e_1_2_2_83_1","volume-title":"VIS'25","author":"Potter Veronika","year":"2025","unstructured":"Veronika Potter, Ha Le, Uzma Haque Syeda, Stephen Intille, and Michelle A. Borkin. An evaluation of temporal and categorical uncertainty on timelines: A case study in human activity recall visualizations. In 2025 IEEE Visualization and Visual Analytics, VIS'25. IEEE, 2025."},{"issue":"4","key":"e_1_2_2_84_1","first-page":"32","article-title":"The Physical Activity Assessment Using Wearable Sensors (PAAWS) Dataset: Labeled Laboratory and Free-Living Accelerometer Data. Proceedings of the ACM on Interactive, Mobile","volume":"9","author":"Potter Veronika","year":"2025","unstructured":"Veronika Potter, Hoan Tran, Daniel Mobely, Suzanne M. Bertisch, Dinesh John, and Stephen Intille. The Physical Activity Assessment Using Wearable Sensors (PAAWS) Dataset: Labeled Laboratory and Free-Living Accelerometer Data. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 9(4):32, December 2025.","journal-title":"Wearable and Ubiquitous Technologies"},{"issue":"4","key":"e_1_2_2_85_1","first-page":"1","article-title":"Cross-dataset activity recognition via adaptive spatial-temporal transfer learning. Proceedings of the ACM on Interactive, Mobile","volume":"3","author":"Qin Xin","year":"2019","unstructured":"Xin Qin, Yiqiang Chen, Jindong Wang, and Chaohui Yu. Cross-dataset activity recognition via adaptive spatial-temporal transfer learning. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3(4):1\u201325, December 2019.","journal-title":"Wearable and Ubiquitous Technologies"},{"issue":"4","key":"e_1_2_2_86_1","first-page":"1","article-title":"A context-assisted evening recall approach to improve self-report adherence. Proceedings of the ACM on Interactive, Mobile","volume":"3","author":"Rabbi Mashfiqui","year":"2019","unstructured":"Mashfiqui Rabbi, Katherine Li, H. Yanna Yan, Kelly Hall, Predrag Klasnja, and Susan Murphy. ReVibe: A context-assisted evening recall approach to improve self-report adherence. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3(4):1\u201327, December 2019.","journal-title":"Wearable and Ubiquitous Technologies"},{"key":"e_1_2_2_87_1","volume-title":"May","author":"Rabbi Mashfiqui","year":"2015","unstructured":"Mashfiqui Rabbi, Angela Pfammatter, Mi Zhang, Bonnie Spring, and Tanzeem Choudhury. Automated personalized feedback for physical activity and dietary behavior change with mobile phones: A randomized controlled trial on adults. JMIR mHealth and uHealth, 3(2):e42, May 2015."},{"key":"e_1_2_2_88_1","first-page":"7","volume-title":"Proceedings of the 3rd International Workshop on Sensor-based Activity Recognition and Interaction","author":"Schr\u00f6der Max","year":"2016","unstructured":"Max Schr\u00f6der, Kristina Yordanova, Sebastian Bader, and Thomas Kirste. Tool support for the online annotation of sensor data. In Proceedings of the 3rd International Workshop on Sensor-based Activity Recognition and Interaction, pages 1\u20137, Rostock Germany, June 2016. ACM."},{"key":"e_1_2_2_89_1","first-page":"20","volume-title":"Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, CHI '24","author":"Seo Woosuk","unstructured":"Woosuk Seo, Chanmo Yang, and Young-Ho Kim. ChaCha: Leveraging large language models to prompt children to share their emotions about personal events. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, CHI '24, page 20. ACM, September 2023."},{"key":"e_1_2_2_90_1","first-page":"3344","volume-title":"2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Shen Yuhan","unstructured":"Yuhan Shen and Ehsan Elhamifar. Semi-weakly-supervised learning of complex actions from instructional task videos. In 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 3334\u20133344. IEEE, June 2022."},{"key":"e_1_2_2_91_1","first-page":"10160","volume-title":"2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Shen Yuhan","unstructured":"Yuhan Shen, Lu Wang, and Ehsan Elhamifar. Learning to segment actions from visual and language instructions via differentiable weak sequence alignment. In 2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 10151\u201310160. IEEE, June 2021."},{"key":"e_1_2_2_92_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.clinpsy.3.022806.091415"},{"key":"e_1_2_2_93_1","first-page":"186","volume-title":"2024 IEEE\/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)","author":"Shrestha Sloke","unstructured":"Sloke Shrestha and Edison Thomaz. Leveraging large language models to annotate activities of daily living captured with egocentric vision. In 2024 IEEE\/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), pages 182\u2013186. IEEE, June 2024."},{"key":"e_1_2_2_94_1","doi-asserted-by":"publisher","DOI":"10.1145\/3616017"},{"issue":"1","key":"e_1_2_2_95_1","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1023\/A:1023657221954","article-title":"Ecological momentary assessment research in behavioral medicine","volume":"4","author":"Smyth Joshua M.","year":"2003","unstructured":"Joshua M. Smyth and Author A. Stone. Ecological momentary assessment research in behavioral medicine. Journal of Happiness Studies, 4(1):35\u201352, 2003.","journal-title":"Journal of Happiness Studies"},{"key":"e_1_2_2_96_1","first-page":"112","volume-title":"Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments","author":"Sopidis Georgios","unstructured":"Georgios Sopidis, Michael Haslgr\u00fcbler, Behrooze Azadi, Bernhard Anzengruber-T\u00e1nase, Abdelrahman Ahmad, Alois Ferscha, and Martin Baresch. Micro-activity recognition in industrial assembly process with IMU data and deep learning. In Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments, pages 103\u2013112. ACM, June 2022."},{"key":"e_1_2_2_97_1","unstructured":"Inc Starva. Strava."},{"key":"e_1_2_2_98_1","unstructured":"Matthew Stewart. Estimation of physical activity using accelerometry in adult populations: Using the Sensewear Armband and the ACT24 as comparison tools for the estimation of energy expenditure and physical activity intensity by the Sojourn method. Master of Science Iowa State University Digital Repository Ames 2018. Pages: 12331555."},{"key":"e_1_2_2_99_1","doi-asserted-by":"publisher","DOI":"10.3390\/s23104606"},{"key":"e_1_2_2_100_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0735-1097(00)01054-8"},{"key":"e_1_2_2_101_1","doi-asserted-by":"publisher","DOI":"10.1139\/h05-147"},{"key":"e_1_2_2_102_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41562-024-02024-1"},{"key":"e_1_2_2_103_1","first-page":"12","volume-title":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","author":"Vaizman Yonatan","year":"2018","unstructured":"Yonatan Vaizman, Katherine Ellis, Gert Lanckriet, and Nadir Weibel. ExtraSensory App: Data collection in-the-wild with rich user interface to self-report behavior. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pages 1\u201312, Montreal QC Canada, April 2018. ACM."},{"issue":"4","key":"e_1_2_2_104_1","first-page":"1","article-title":"Context recognition in-the-wild: Unified model for multi-modal sensors and multi-label classification. Proceedings of the ACM on Interactive, Mobile","volume":"1","author":"Vaizman Yonatan","year":"2018","unstructured":"Yonatan Vaizman, Nadir Weibel, and Gert Lanckriet. Context recognition in-the-wild: Unified model for multi-modal sensors and multi-label classification. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(4):1\u201322, January 2018.","journal-title":"Wearable and Ubiquitous Technologies"},{"key":"e_1_2_2_105_1","first-page":"518","volume-title":"2018 11th International Conference on Human System Interaction (HSI)","author":"Viana Paula","unstructured":"Paula Viana, Tiago Ferreira, Lourenco Castro, Marcio Soares, Jose Pedro Pinto, Teresa Andrade, and Pedro Carvalho. GymApp: A real time physical activity trainner on wearable devices. In 2018 11th International Conference on Human System Interaction (HSI), pages 513\u2013518. IEEE, July 2018."},{"key":"e_1_2_2_106_1","first-page":"10","volume-title":"7th Conference on the Engineering of Computer Based Systems","author":"Vurdelja Igor","unstructured":"Igor Vurdelja, Elena Vu\u010delji\u0107, Jelena Medarevi\u0107, Marko Markovi\u0107, Milica Jankovi\u0107, and Zaharije Radivojevi\u0107. Smart body sensor network for logging of activities of daily living. In 7th Conference on the Engineering of Computer Based Systems, pages 1\u201310. ACM, May 2021."},{"key":"e_1_2_2_107_1","first-page":"6","volume-title":"Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems","author":"Wang Dakuo","unstructured":"Dakuo Wang, Elizabeth Churchill, Pattie Maes, Xiangmin Fan, Ben Shneiderman, Yuanchun Shi, and Qianying Wang. From human-human collaboration to human-AI collaboration: Designing AI systems that can work together with people. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, pages 1\u20136. ACM, April 2020."},{"key":"e_1_2_2_108_1","volume-title":"Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1):35","author":"Wei Jing","year":"2024","unstructured":"Jing Wei, Sungdong Kim, Hyunhoon Jung, and Young-Ho Kim. Leveraging large language models to power chatbots for collecting user self-reported data. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1):35, 2024."},{"key":"e_1_2_2_109_1","first-page":"286","volume-title":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","author":"Weppner Jens","year":"2014","unstructured":"Jens Weppner, Andreas Poxrucker, Paul Lukowicz, Shoya Ishimaru, Kai Kunze, and Koichi Kise. Shiny: An activity logging platform for Google Glass. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, pages 283\u2013286, Seattle Washington, September 2014. ACM."},{"key":"e_1_2_2_110_1","first-page":"11","volume-title":"Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology","author":"Xu Vasco","unstructured":"Vasco Xu, Chenfeng Gao, Henry Hoffmann, and Karan Ahuja. MobilePoser: Real-time full-body pose estimation and 3D human translation from IMUs in mobile consumer devices. In Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, pages 1\u201311. ACM, October 2024."},{"issue":"1","key":"e_1_2_2_111_1","first-page":"1","article-title":"Leveraging collaborative-filtering for personalized behavior modeling: A case study of depression detection among college students. Proceedings of the ACM on Interactive, Mobile","volume":"5","author":"Xu Xuhai","year":"2021","unstructured":"Xuhai Xu, Prerna Chikersal, Janine M. Dutcher, Yasaman S. Sefidgar, Woosuk Seo, Michael J. Tumminia, Daniella K. Villalba, Sheldon Cohen, Kasey G. Creswell, J. David Creswell, Afsaneh Doryab, Paula S. Nurius, Eve Riskin, Anind K. Dey, and Jennifer Mankoff. Leveraging collaborative-filtering for personalized behavior modeling: A case study of depression detection among college students. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 5(1):1\u201327, March 2021.","journal-title":"Wearable and Ubiquitous Technologies"},{"key":"e_1_2_2_112_1","first-page":"14","volume-title":"Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction","author":"Yan Xinghui","unstructured":"Xinghui Yan, Yuxuan Li, Bingjian Huang, Sun Young Park, and Mark Newman. User burden of microinteractions: An in-lab experiment examining user performance and perceived burden related to in-situ self-reporting. In Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction, pages 1\u201314. ACM, September 2021."},{"key":"e_1_2_2_113_1","first-page":"17","volume-title":"Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, CHI '25","author":"Zamfirescu-Pereira J. D.","unstructured":"J. D. Zamfirescu-Pereira, Eunice Jun, Michael Terry, Qian Yang, and Bj\u00f6rn Hartmann. Beyond code generation: LLM-supported exploration of the program design space. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, CHI '25, page 17. ACM, March 2025."},{"key":"e_1_2_2_114_1","volume-title":"Synthetic lies: Understanding AI-generated misinformation and evaluating algorithmic and human solutions","author":"Zhou Jiawei","year":"2023","unstructured":"Jiawei Zhou. Synthetic lies: Understanding AI-generated misinformation and evaluating algorithmic and human solutions. 2023."},{"issue":"1","key":"e_1_2_2_115_1","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1186\/s12966-024-01632-4","article-title":"Validity and reliability of self-reported methods for assessment of 24-h movement behaviours: A systematic review","volume":"21","author":"\u0160uc Anja","year":"2024","unstructured":"Anja \u0160uc, Lea Einfalt, Nejc \u0160arabon, and Kaja Kastelic. Validity and reliability of self-reported methods for assessment of 24-h movement behaviours: A systematic review. International Journal of Behavioral Nutrition and Physical Activity, 21(1):83, August 2024.","journal-title":"International Journal of Behavioral Nutrition and Physical Activity"}],"container-title":["Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3770710","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3770710","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T19:43:30Z","timestamp":1764704610000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3770710"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,2]]},"references-count":115,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,12,2]]}},"alternative-id":["10.1145\/3770710"],"URL":"https:\/\/doi.org\/10.1145\/3770710","relation":{},"ISSN":["2474-9567"],"issn-type":[{"value":"2474-9567","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,2]]},"assertion":[{"value":"2025-12-02","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}