{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T07:02:20Z","timestamp":1781593340878,"version":"3.54.5"},"reference-count":115,"publisher":"Association for Computing Machinery (ACM)","issue":"3","funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"crossref","award":["RS-2022-NR068758"],"award-info":[{"award-number":["RS-2022-NR068758"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"crossref"}]},{"name":"LGE-KAIST Digital Health Research Center"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. ACM Interact. Mob. Wearable Ubiquitous Technol."],"published-print":{"date-parts":[[2025,9,3]]},"abstract":"<jats:p>The home environment plays a critical role in shaping daily routines that influence emotional wellbeing. While previous research has leveraged mobile and wearable devices to track emotional wellbeing indicators, these approaches often suffer from limited adherence and data gaps when users are not actively engaged. To address this, we further explore home IoT sensing as a passive and unobtrusive modality for monitoring emotional wellbeing. We conducted a four-week user study (N=20), collecting data from mobile devices, wearables, and home IoT sensors. Our quantitative analysis showed that incorporating home IoT data better captured associations between domestic routines and emotional wellbeing than mobile and wearable data alone. However, domestic activity patterns varied significantly across participants, highlighting the personalized nature of domestic routines. To further investigate these differences, we developed an informatics tool for participants to visualize and reflect on their behavioral data. Semi-structured interviews revealed that participants found home IoT data intuitive and insightful in understanding their emotional wellbeing, leading to a positive shift in privacy concerns. Our findings highlight home IoT sensing as a promising tool for tracking emotional wellbeing and provide design implications for future sensor-enabled home healthcare services.<\/jats:p>","DOI":"10.1145\/3749485","type":"journal-article","created":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T17:15:45Z","timestamp":1756919745000},"page":"1-36","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Harnessing Home IoT for Self-tracking Emotional Wellbeing: Behavioral Patterns, Self-reflection, and Privacy Concerns"],"prefix":"10.1145","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8405-4919","authenticated-orcid":false,"given":"Youngji","family":"Koh","sequence":"first","affiliation":[{"name":"KAIST, Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-0215-8799","authenticated-orcid":false,"given":"Chanhee","family":"Lee","sequence":"additional","affiliation":[{"name":"KAIST, Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2892-1797","authenticated-orcid":false,"given":"Eunki","family":"Joung","sequence":"additional","affiliation":[{"name":"KAIST, Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0312-9259","authenticated-orcid":false,"given":"Hyunsoo","family":"Lee","sequence":"additional","affiliation":[{"name":"KAIST, Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1888-1569","authenticated-orcid":false,"given":"Uichin","family":"Lee","sequence":"additional","affiliation":[{"name":"KAIST, Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,9,3]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445122"},{"key":"e_1_2_1_2_1","volume-title":"Privacy and human behavior in the age of information. Science 347, 6221","author":"Acquisti Alessandro","year":"2015","unstructured":"Alessandro Acquisti, Laura Brandimarte, and George Loewenstein. 2015. Privacy and human behavior in the age of information. Science 347, 6221 (2015), 509--514."},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3463528"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3699755"},{"key":"e_1_2_1_5_1","volume-title":"Smart home-based prediction of multidomain symptoms related to Alzheimer's disease","author":"Alberdi Ane","year":"2018","unstructured":"Ane Alberdi, Alyssa Weakley, Maureen Schmitter-Edgecombe, Diane J Cook, Asier Aztiria, Adrian Basarab, and Maitane Barrenechea. 2018. Smart home-based prediction of multidomain symptoms related to Alzheimer's disease. IEEE journal of biomedical and health informatics 22, 6 (2018), 1720--1731."},{"key":"e_1_2_1_6_1","volume-title":"Ambient Intelligence for Clinical Support of People Living with Dementia","author":"Andreadis Stelios","unstructured":"Stelios Andreadis, Thanos G. Stavropoulos, Georgios Meditskos, and Ioannis Kompatsiaris. 2016. Dem@Home: Ambient Intelligence for Clinical Support of People Living with Dementia. In The Semantic Web, Harald Sack, Giuseppe Rizzo, Nadine Steinmetz, Dunja Mladeni\u0107, S\u00f6ren Auer, and Christoph Lange (Eds.). Springer International Publishing, Cham, 357--368."},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3214262"},{"key":"e_1_2_1_8_1","volume-title":"DC 20024","author":"American Psychiatric Association","year":"2013","unstructured":"American Psychiatric Association. 2013. Diagnostic and statistical manual of mental disorders: DSM-5. Vol. 5. American psychiatric association Washington, DC, 800 Maine Avenue, S.W., Suite 900, Washington, DC 20024."},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13690-024-01416-z"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858557"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2503823"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475552"},{"key":"e_1_2_1_13_1","volume-title":"DC 20002-4242","author":"Braun Virginia","year":"2012","unstructured":"Virginia Braun and Victoria Clarke. 2012. Thematic analysis. American Psychological Association, 750 First St. NE, Washington, DC 20002-4242."},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.3390\/s19030485"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2012-001023"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3380985"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2030112.2030118"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2750858.2804266"},{"key":"e_1_2_1_19_1","volume-title":"Integrating patient-generated health data into clinical care settings or clinical decision-making: lessons learned from project healthdesign. JMIR human factors 3, 2","author":"Cohen Deborah J","year":"2016","unstructured":"Deborah J Cohen, Sara R Keller, Gillian R Hayes, David A Dorr, Joan S Ash, and Dean F Sittig. 2016. Integrating patient-generated health data into clinical care settings or clinical decision-making: lessons learned from project healthdesign. JMIR human factors 3, 2 (2016), e5919."},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2012.328"},{"key":"e_1_2_1_21_1","volume-title":"Technology-enabled assessment of functional health","author":"Cook Diane J","year":"2018","unstructured":"Diane J Cook, Maureen Schmitter-Edgecombe, Linus J\u00f6nsson, and Anne V Morant. 2018. Technology-enabled assessment of functional health. IEEE reviews in biomedical engineering 12 (2018), 319--332."},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1600-0447.2007.00998.x"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3439870"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2030112.2030135"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1177\/0033354918754540"},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11920-018-0910-2"},{"key":"e_1_2_1_27_1","volume-title":"Positive emotions trigger upward spirals toward emotional well-being. Psychological science 13, 2","author":"Fredrickson Barbara L","year":"2002","unstructured":"Barbara L Fredrickson and Thomas Joiner. 2002. Positive emotions trigger upward spirals toward emotional well-being. Psychological science 13, 2 (2002), 172--175."},{"key":"e_1_2_1_28_1","volume-title":"A survey on concept drift adaptation. ACM computing surveys (CSUR) 46, 4","author":"Gama Jo\u00e3o","year":"2014","unstructured":"Jo\u00e3o Gama, Indr\u0117 \u017dliobait\u0117, Albert Bifet, Mykola Pechenizkiy, and Abdelhamid Bouchachia. 2014. A survey on concept drift adaptation. ACM computing surveys (CSUR) 46, 4 (2014), 1--37."},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.3389\/fdgth.2021.798889"},{"key":"e_1_2_1_30_1","volume-title":"Challenges with graph interpretation: A review of the literature. Studies in science education 47, 2","author":"Glazer Nirit","year":"2011","unstructured":"Nirit Glazer. 2011. Challenges with graph interpretation: A review of the literature. Studies in science education 47, 2 (2011), 183--210."},{"key":"e_1_2_1_31_1","volume-title":"The prevalence and burden of subthreshold generalized anxiety disorder: a systematic review. BMC psychiatry 14","author":"Haller Heidemarie","year":"2014","unstructured":"Heidemarie Haller, Holger Cramer, Romy Lauche, Florian Gass, and Gustav J Dobos. 2014. The prevalence and burden of subthreshold generalized anxiety disorder: a systematic review. BMC psychiatry 14 (2014), 1--13."},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2008.07.004"},{"key":"e_1_2_1_33_1","volume-title":"Elie El Helou, and Ken Kiyono","author":"Helou Samar","year":"2021","unstructured":"Samar Helou, Victoria Abou-Khalil, Elie El Helou, and Ken Kiyono. 2021. Factors related to personal health data sharing: data usefulness, sensitivity and anonymity. In Public Health and Informatics. IOS Press, 1051--1055."},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3550294"},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.3390\/s23187729"},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1080\/07370024.2016.1277724"},{"key":"e_1_2_1_37_1","doi-asserted-by":"crossref","unstructured":"Giovanni Iachello Jason Hong et al. 2007. End-user privacy in human-computer interaction. Foundations and Trends\u00ae in Human-Computer Interaction 1 1 (2007) 1--137.","DOI":"10.1561\/1100000004"},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2470654.2466137"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3131892"},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581641.3584054"},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3501944"},{"key":"e_1_2_1_42_1","volume-title":"Olga Demler, and Ellen E Walters.","author":"Kessler Ronald C","year":"2005","unstructured":"Ronald C Kessler, Wai Tat Chiu, Olga Demler, and Ellen E Walters. 2005. Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Archives of general psychiatry 62, 6 (2005), 617--627."},{"key":"e_1_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517701"},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445421"},{"key":"e_1_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.4108\/icst.pervasivehealth.2013.251934"},{"key":"e_1_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/MEMB.2003.1213628"},{"key":"e_1_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1046\/j.1525-1497.2001.016009606.x"},{"key":"e_1_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1097\/01.MLR.0000093487.78664.3C"},{"key":"e_1_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-146-5-200703060-00004"},{"key":"e_1_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376273"},{"key":"e_1_2_1_51_1","doi-asserted-by":"crossref","unstructured":"Steven Landers Elizabeth Madigan Bruce Leff Robert J Rosati Barbara A McCann Rodney Hornbake Richard MacMillan Kate Jones Kathryn Bowles Dawn Dowding et al. 2016. The future of home health care: a strategic framework for optimizing value. Home health care management & practice 28 4 (2016) 262--278.","DOI":"10.1177\/1084822316666368"},{"key":"e_1_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534623"},{"key":"e_1_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-014-0810-3"},{"key":"e_1_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/1753326.1753409"},{"key":"e_1_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/2462456.2464449"},{"key":"e_1_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642846"},{"key":"e_1_2_1_57_1","volume-title":"The phenomenon of social isolation in the severely mentally ill. Perspectives in psychiatric care 49, 4","author":"Linz Sheila J","year":"2013","unstructured":"Sheila J Linz and Bonnie A Sturm. 2013. The phenomenon of social isolation in the severely mentally ill. Perspectives in psychiatric care 49, 4 (2013), 243--254."},{"key":"e_1_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpsychores.2004.09.006"},{"key":"e_1_2_1_59_1","doi-asserted-by":"crossref","unstructured":"Lucy MacLeod Banuchitra Suruliraj Dominik Gall Kitti Bessenyei Sara Hamm Isaac Romkey Alexa Bagnell Manuel Mattheisen Viswanath Muthukumaraswamy Rita Orji et al. 2021. A mobile sensing app to monitor youth mental health: observational pilot study. JMIR mHealth and uHealth 9 10 (2021) e20638.","DOI":"10.2196\/20638"},{"key":"e_1_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1145\/1978942.1979379"},{"key":"e_1_2_1_61_1","volume-title":"HCIBGO 2016, Held as Part of HCI International 2016, Toronto, Canada, July 17-22, 2016, Proceedings, Part II 3. Springer, 67--78","author":"McCreary Faith","year":"2016","unstructured":"Faith McCreary, Alexandra Zafiroglu, and Heather Patterson. 2016. The contextual complexity of privacy in smart homes and smart buildings. In HCI in Business, Government, and Organizations: Information Systems: Third International Conference, HCIBGO 2016, Held as Part of HCI International 2016, Toronto, Canada, July 17-22, 2016, Proceedings, Part II 3. Springer, 67--78."},{"key":"e_1_2_1_62_1","first-page":"4","volume-title":"Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies 6","author":"Meegahapola Lakmal","year":"2023","unstructured":"Lakmal Meegahapola, William Droz, Peter Kun, Amalia De G\u00f6tzen, Chaitanya Nutakki, Shyam Diwakar, Salvador Ruiz Correa, Donglei Song, Hao Xu, Miriam Bidoglia, et al. 2023. Generalization and personalization of mobile sensing-based mood inference models: an analysis of college students in eight countries. Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies 6, 4 (2023), 1--32."},{"key":"e_1_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/2556288.2557220"},{"key":"e_1_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3533390"},{"key":"e_1_2_1_65_1","volume-title":"A general and simple method for obtaining R2 from generalized linear mixed-effects models. Methods in ecology and evolution 4, 2","author":"Nakagawa Shinichi","year":"2013","unstructured":"Shinichi Nakagawa and Holger Schielzeth. 2013. A general and simple method for obtaining R2 from generalized linear mixed-effects models. Methods in ecology and evolution 4, 2 (2013), 133--142."},{"key":"e_1_2_1_66_1","volume-title":"Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach. BMC public health 24, 1","author":"Nawrin Saida Salima","year":"2024","unstructured":"Saida Salima Nawrin, Hitoshi Inada, Haruki Momma, and Ryoichi Nagatomi. 2024. Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach. BMC public health 24, 1 (2024), 1254."},{"key":"e_1_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1145\/3319374"},{"key":"e_1_2_1_68_1","unstructured":"World Health Organization. 2001. The World Health Report 2001: Mental health: new understanding new hope. (2001)."},{"key":"e_1_2_1_69_1","unstructured":"World Health Organization et al. 2017. Depression and other common mental disorders: global health estimates. (2017)."},{"key":"e_1_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1145\/3064663.3064704"},{"key":"e_1_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1007\/s42761-022-00163-0"},{"key":"e_1_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1145\/3392882"},{"key":"e_1_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1002\/lim2.21"},{"key":"e_1_2_1_74_1","volume-title":"Screening for anxiety disorders with the GAD-7 and GAD-2: a systematic review and diagnostic metaanalysis. General hospital psychiatry 39","author":"Plummer Faye","year":"2016","unstructured":"Faye Plummer, Laura Manea, Dominic Trepel, and Dean McMillan. 2016. Screening for anxiety disorders with the GAD-7 and GAD-2: a systematic review and diagnostic metaanalysis. General hospital psychiatry 39 (2016), 24--31."},{"key":"e_1_2_1_75_1","volume-title":"No health without mental health. The lancet 370, 9590","author":"Prince Martin","year":"2007","unstructured":"Martin Prince, Vikram Patel, Shekhar Saxena, Mario Maj, Joanna Maselko, Michael R Phillips, and Atif Rahman. 2007. No health without mental health. The lancet 370, 9590 (2007), 859--877."},{"key":"e_1_2_1_76_1","volume-title":"Dataset shift in machine learning","author":"Qui\u00f1onero-Candela Joaquin","unstructured":"Joaquin Qui\u00f1onero-Candela, Masashi Sugiyama, Anton Schwaighofer, and Neil D Lawrence. 2022. Dataset shift in machine learning. Mit Press."},{"key":"e_1_2_1_77_1","volume-title":"Climatic relationships with specific clinical subtypes of depression. Psychiatry research 175, 3","author":"Radua Joaquim","year":"2010","unstructured":"Joaquim Radua, Alberto Pertusa, and Narcis Cardoner. 2010. Climatic relationships with specific clinical subtypes of depression. Psychiatry research 175, 3 (2010), 217--220."},{"key":"e_1_2_1_78_1","doi-asserted-by":"publisher","DOI":"10.1145\/3314409"},{"key":"e_1_2_1_79_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300349"},{"key":"e_1_2_1_80_1","doi-asserted-by":"publisher","DOI":"10.1093\/cdn\/nzab039_009"},{"key":"e_1_2_1_81_1","volume-title":"Zaffar Haider Janjua, and Rim Helaoui","author":"Riboni Daniele","year":"2016","unstructured":"Daniele Riboni, Claudio Bettini, Gabriele Civitarese, Zaffar Haider Janjua, and Rim Helaoui. 2016. SmartFABER: Recognizing fine-grained abnormal behaviors for early detection of mild cognitive impairment. Artificial intelligence in medicine 67 (2016), 57--74."},{"key":"e_1_2_1_82_1","doi-asserted-by":"publisher","DOI":"10.17744\/mehc.32.3.0n31v88304423806"},{"key":"e_1_2_1_83_1","volume-title":"Definitions and factors associated with subthreshold depressive conditions: a systematic review. BMC psychiatry 12","author":"Rodr\u00edguez Mar Rivas","year":"2012","unstructured":"Mar Rivas Rodr\u00edguez, Roberto Nuevo, Somnath Chatterji, and Jos\u00e9 Luis Ayuso-Mateos. 2012. Definitions and factors associated with subthreshold depressive conditions: a systematic review. BMC psychiatry 12 (2012), 1--7."},{"key":"e_1_2_1_84_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300655"},{"key":"e_1_2_1_85_1","doi-asserted-by":"publisher","DOI":"10.1145\/2556288.2557039"},{"key":"e_1_2_1_86_1","doi-asserted-by":"publisher","DOI":"10.1145\/3282894.3282907"},{"key":"e_1_2_1_87_1","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.4273"},{"key":"e_1_2_1_88_1","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445770"},{"key":"e_1_2_1_89_1","volume-title":"Lifestyle medicine for depression. BMC psychiatry 14","author":"Sarris Jerome","year":"2014","unstructured":"Jerome Sarris, Adrienne O'Neil, Carolyn E Coulson, Isaac Schweitzer, and Michael Berk. 2014. Lifestyle medicine for depression. BMC psychiatry 14 (2014), 1--13."},{"key":"e_1_2_1_90_1","doi-asserted-by":"publisher","DOI":"10.1145\/3369809"},{"key":"e_1_2_1_91_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijms21113943"},{"key":"e_1_2_1_92_1","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642075"},{"key":"e_1_2_1_93_1","doi-asserted-by":"publisher","DOI":"10.1177\/001872088402600411"},{"key":"e_1_2_1_94_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-009-0007-1"},{"key":"e_1_2_1_95_1","doi-asserted-by":"publisher","DOI":"10.1001\/archinte.166.10.1092"},{"key":"e_1_2_1_96_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-018-1123-8"},{"key":"e_1_2_1_97_1","volume-title":"Proceedings of the Fifteenth USENIX Conference on Usable Privacy and Security","author":"Tabassum Madiha","year":"2019","unstructured":"Madiha Tabassum, Tomasz Kosi\u0144ski, and Heather Richter Lipford. 2019. \"I don't own the data\": end user perceptions of smart home device data practices and risks. In Proceedings of the Fifteenth USENIX Conference on Usable Privacy and Security (Santa Clara, CA, USA) (SOUPS'19). USENIX Association, USA, 435--450."},{"key":"e_1_2_1_98_1","doi-asserted-by":"publisher","DOI":"10.1145\/3712278"},{"key":"e_1_2_1_99_1","volume-title":"Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing. 491--502","author":"Tolmie Peter","year":"2016","unstructured":"Peter Tolmie, Andy Crabtree, Tom Rodden, James Colley, and Ewa Luger. 2016. \"This has to be the cats\" Personal Data Legibility in Networked Sensing Systems. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing. 491--502."},{"key":"e_1_2_1_100_1","doi-asserted-by":"publisher","DOI":"10.1145\/503376.503448"},{"key":"e_1_2_1_101_1","volume-title":"Construal-level theory of psychological distance. Psychological review 117, 2","author":"Trope Yaacov","year":"2010","unstructured":"Yaacov Trope and Nira Liberman. 2010. Construal-level theory of psychological distance. Psychological review 117, 2 (2010), 440."},{"key":"e_1_2_1_102_1","volume-title":"Population Division.","author":"United Nations","year":"2018","unstructured":"United Nations, Department of Economic and Social Affairs, Population Division. 2018. World Urbanization Prospects: The 2018 Revision. Available at: https:\/\/population.un.org\/wup\/assets\/WUP2018-Report.pdf."},{"key":"e_1_2_1_103_1","doi-asserted-by":"crossref","unstructured":"Yasmin van Kasteren Dana Bradford Qing Zhang Mohan Karunanithi Hang Ding et al. 2017. Understanding smart home sensor data for ageing in place through everyday household routines: a mixed method case study. JMIR mHealth and uHealth 5 6 (2017) e5773.","DOI":"10.2196\/mhealth.5773"},{"key":"e_1_2_1_104_1","volume-title":"Lifestyle and mental health. American psychologist 66, 7","author":"Walsh Roger","year":"2011","unstructured":"Roger Walsh. 2011. Lifestyle and mental health. American psychologist 66, 7 (2011), 579."},{"key":"e_1_2_1_105_1","doi-asserted-by":"publisher","DOI":"10.3390\/s21030864"},{"key":"e_1_2_1_106_1","doi-asserted-by":"publisher","DOI":"10.1145\/2632048.2632054"},{"key":"e_1_2_1_107_1","doi-asserted-by":"publisher","DOI":"10.1145\/3274446"},{"key":"e_1_2_1_108_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3264951","article-title":"Sensing behavioral change over time: Using within-person variability features from mobile sensing to predict personality traits","volume":"2","author":"Wang Weichen","year":"2018","unstructured":"Weichen Wang, Gabriella M Harari, Rui Wang, Sandrine R M\u00fcller, Shayan Mirjafari, Kizito Masaba, and Andrew T Campbell. 2018. Sensing behavioral change over time: Using within-person variability features from mobile sensing to predict personality traits. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 3 (2018), 1--21.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_1_109_1","doi-asserted-by":"publisher","DOI":"10.1145\/3494965"},{"key":"e_1_2_1_110_1","volume-title":"The large-sample distribution of the likelihood ratio for testing composite hypotheses. The annals of mathematical statistics 9, 1","author":"Wilks Samuel S","year":"1938","unstructured":"Samuel S Wilks. 1938. The large-sample distribution of the likelihood ratio for testing composite hypotheses. The annals of mathematical statistics 9, 1 (1938), 60--62."},{"key":"e_1_2_1_111_1","first-page":"19","article-title":"Routinoscope: Collaborative routine reflection for routine-driven do-it-yourself smart homes","volume":"14","author":"Lim Woo","year":"2020","unstructured":"Jong-bum Woo and Youn-kyung Lim. 2020. Routinoscope: Collaborative routine reflection for routine-driven do-it-yourself smart homes. International Journal of Design 14, 3 (2020), 19.","journal-title":"International Journal of Design"},{"key":"e_1_2_1_112_1","volume-title":"Assessment of the relationship between living alone and the risk of depression based on longitudinal studies: a systematic review and meta-analysis. Frontiers in psychiatry 13","author":"Wu Daolin","year":"2022","unstructured":"Daolin Wu and Fuwei Liu. 2022. Assessment of the relationship between living alone and the risk of depression based on longitudinal studies: a systematic review and meta-analysis. Frontiers in psychiatry 13 (2022), 954857."},{"key":"e_1_2_1_113_1","doi-asserted-by":"publisher","DOI":"10.1145\/3351274"},{"key":"e_1_2_1_114_1","volume-title":"Liang Wang, and Jonathon Chambers.","author":"Yu Miao","year":"2012","unstructured":"Miao Yu, Adel Rhuma, Syed Mohsen Naqvi, Liang Wang, and Jonathon Chambers. 2012. A posture recognition-based fall detection system for monitoring an elderly person in a smart home environment. IEEE transactions on information technology in biomedicine 16, 6 (2012), 1274--1286."},{"key":"e_1_2_1_115_1","doi-asserted-by":"publisher","DOI":"10.1145\/3274469"}],"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\/3749485","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T16:29:16Z","timestamp":1758817756000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3749485"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,3]]},"references-count":115,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,9,3]]}},"alternative-id":["10.1145\/3749485"],"URL":"https:\/\/doi.org\/10.1145\/3749485","relation":{},"ISSN":["2474-9567"],"issn-type":[{"value":"2474-9567","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,3]]},"assertion":[{"value":"2025-09-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}