{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T15:15:00Z","timestamp":1776093300843,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":78,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,4,29]],"date-time":"2022-04-29T00:00:00Z","timestamp":1651190400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Library of Medicine","award":["T15LM007079"],"award-info":[{"award-number":["T15LM007079"]}]},{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["R01DK113189"],"award-info":[{"award-number":["R01DK113189"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,4,29]]},"DOI":"10.1145\/3491102.3501886","type":"proceedings-article","created":{"date-parts":[[2022,4,28]],"date-time":"2022-04-28T17:09:36Z","timestamp":1651165776000},"page":"1-24","source":"Crossref","is-referenced-by-count":15,"title":["Examining AI Methods for Micro-Coaching Dialogs"],"prefix":"10.1145","author":[{"given":"Elliot","family":"Mitchell","sequence":"first","affiliation":[{"name":"Department of Biomedical Informatics, Columbia University, United States and Steele Institute for Health Innovation, Geisinger, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Noemie","family":"Elhadad","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, Columbia University, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lena","family":"Mamykina","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, Columbia University, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,4,29]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2015.04.006"},{"key":"e_1_3_2_1_2_1","volume-title":"Le","author":"Adiwardana Daniel","year":"2020","unstructured":"Daniel Adiwardana , Minh-Thang Luong , David R So , Jamie Hall , Noah Fiedel , Romal Thoppilan , Zi Yang , Apoorv Kulshreshtha , Gaurav Nemade , Yifeng Lu , and Quoc V . Le . 2020 . Towards a Human-like Open-Domain Chatbot. Retrieved February 6, 2020 from http:\/\/arxiv.org\/abs\/2001.09977 Daniel Adiwardana, Minh-Thang Luong, David R So, Jamie Hall, Noah Fiedel, Romal Thoppilan, Zi Yang, Apoorv Kulshreshtha, Gaurav Nemade, Yifeng Lu, and Quoc V. Le. 2020. Towards a Human-like Open-Domain Chatbot. Retrieved February 6, 2020 from http:\/\/arxiv.org\/abs\/2001.09977"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pec.2004.09.008"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1080\/10810730.2010.499991"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.288.19.2469"},{"key":"e_1_3_2_1_6_1","first-page":"19","volume-title":"Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems. EMNLP-IJCNLP 2019 - Proceedings of the 3rd Workshop on Neural Generation and Translation: 15\u201322","author":"Budzianowski Pawe\u0142","year":"2019","unstructured":"Pawe\u0142 Budzianowski and Ivan Vuli\u0107 . 2019 . Hello, It's GPT-2 \u2013 How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems. EMNLP-IJCNLP 2019 - Proceedings of the 3rd Workshop on Neural Generation and Translation: 15\u201322 . https:\/\/doi.org\/10.18653\/v1\/d 19 - 5602 Pawe\u0142 Budzianowski and Ivan Vuli\u0107. 2019. Hello, It's GPT-2 \u2013 How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems. EMNLP-IJCNLP 2019 - Proceedings of the 3rd Workshop on Neural Generation and Translation: 15\u201322. https:\/\/doi.org\/10.18653\/v1\/d19-5602"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneb.2016.04.142"},{"key":"e_1_3_2_1_8_1","volume-title":"A Giant with Feet of Clay: On the Validity of the Data that Feed Machine Learning in Medicine","author":"Cabitza Federico","unstructured":"Federico Cabitza , Davide Ciucci , and Raffaele Rasoini . 2019. A Giant with Feet of Clay: On the Validity of the Data that Feed Machine Learning in Medicine . . Springer , Cham , 121\u2013136. https:\/\/doi.org\/10.1007\/978-3-319-90503-7_10 Federico Cabitza, Davide Ciucci, and Raffaele Rasoini. 2019. A Giant with Feet of Clay: On the Validity of the Data that Feed Machine Learning in Medicine. . Springer, Cham, 121\u2013136. https:\/\/doi.org\/10.1007\/978-3-319-90503-7_10"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jada.2011.08.042"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC.2018.8319283"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/pfi.21920"},{"key":"e_1_3_2_1_12_1","volume-title":"Retrieved","author":"CIRP.","year":"2019","unstructured":"CIRP. 2019 . Report: Smart speaker adoption in US reaches 66M units, with Amazon leading . Retrieved February 12, 2019 from https:\/\/techcrunch.com\/2019\/02\/05\/report-smart-speaker-adoption-in-u-s-reaches-66m-units-with-amazon-leading\/ CIRP. 2019. Report: Smart speaker adoption in US reaches 66M units, with Amazon leading. Retrieved February 12, 2019 from https:\/\/techcrunch.com\/2019\/02\/05\/report-smart-speaker-adoption-in-u-s-reaches-66m-units-with-amazon-leading\/"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3267305.3274190"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2015.08.003"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2702123.2702154"},{"key":"e_1_3_2_1_16_1","volume-title":"Tim Lucas Dorner, and Richard","author":"Denecke Kerstin","year":"2019","unstructured":"Kerstin Denecke , Mauro Tschanz , Tim Lucas Dorner, and Richard May . 2019 . Intelligent Conversational Agents in Healthcare : Hype or Hope? Studies in health technology and informatics 259: 77\u201384. Retrieved August 9, 2019 from http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/30923277 Kerstin Denecke, Mauro Tschanz, Tim Lucas Dorner, and Richard May. 2019. Intelligent Conversational Agents in Healthcare: Hype or Hope? Studies in health technology and informatics 259: 77\u201384. Retrieved August 9, 2019 from http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/30923277"},{"key":"e_1_3_2_1_17_1","first-page":"4171","article-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics","volume":"1","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin , Ming Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics : Human Language Technologies - Proceedings of the Conference 1 : 4171 \u2013 4186 . Retrieved December 28, 2021 from https:\/\/arxiv.org\/abs\/1810.04805v2 Jacob Devlin, Ming Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference 1: 4171\u20134186. Retrieved December 28, 2021 from https:\/\/arxiv.org\/abs\/1810.04805v2","journal-title":"Human Language Technologies - Proceedings of the Conference"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Diabetes Prevention Program Research Group. 2009. 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. The Lancet 374 9702: 1677\u20131686. https:\/\/doi.org\/10.1016\/S0140-6736(09)61457-4  Diabetes Prevention Program Research Group. 2009. 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. The Lancet 374 9702: 1677\u20131686. https:\/\/doi.org\/10.1016\/S0140-6736(09)61457-4","DOI":"10.1016\/S0140-6736(09)61457-4"},{"key":"e_1_3_2_1_19_1","volume-title":"Hsiao","author":"Dooley Damion M.","year":"2018","unstructured":"Damion M. Dooley , Emma J. Griffiths , Gurinder S. Gosal , Pier L. Buttigieg , Robert Hoehndorf , Matthew C. Lange , Lynn M. Schriml , Fiona S.L. Brinkman , and William W.L . Hsiao . 2018 . FoodOn: A harmonized food ontology to increase global food traceability, quality control and data integration. npj Science of Food 2, 1: 1\u201310. https:\/\/doi.org\/10.1038\/s41538-018-0032-6 Damion M. Dooley, Emma J. Griffiths, Gurinder S. Gosal, Pier L. Buttigieg, Robert Hoehndorf, Matthew C. Lange, Lynn M. Schriml, Fiona S.L. Brinkman, and William W.L. Hsiao. 2018. FoodOn: A harmonized food ontology to increase global food traceability, quality control and data integration. npj Science of Food 2, 1: 1\u201310. https:\/\/doi.org\/10.1038\/s41538-018-0032-6"},{"key":"e_1_3_2_1_20_1","volume-title":"Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems: 5632\u20135644","author":"Epstein Daniel A.","unstructured":"Daniel A. Epstein , Felicia Cordeiro , James Fogarty , Gary Hsieh , and Sean A. Munson . 2016. Crumbs: Lightweight Daily Food Challenges to Promote Engagement and Mindfulness . Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems: 5632\u20135644 . https:\/\/doi.org\/10.1145\/2858036.2858044 Daniel A. Epstein, Felicia Cordeiro, James Fogarty, Gary Hsieh, and Sean A. Munson. 2016. Crumbs: Lightweight Daily Food Challenges to Promote Engagement and Mindfulness. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems: 5632\u20135644. https:\/\/doi.org\/10.1145\/2858036.2858044"},{"key":"e_1_3_2_1_21_1","volume-title":"Retrieved","author":"Fadhil Ahmed","year":"2019","unstructured":"Ahmed Fadhil , Gianluca Schiavo , and Yunlong Wang . 2019 . CoachAI: A Conversational Agent Assisted Health Coaching Platform . Retrieved June 13, 2019 from http:\/\/arxiv.org\/abs\/1904.11961 Ahmed Fadhil, Gianluca Schiavo, and Yunlong Wang. 2019. CoachAI: A Conversational Agent Assisted Health Coaching Platform. Retrieved June 13, 2019 from http:\/\/arxiv.org\/abs\/1904.11961"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Ahmed Fadhil Yunlong Wang and Harald Reiterer. 2019. Assistive Conversational Agent for Health Coaching: A Validation Study. Methods of Information in Medicine. https:\/\/doi.org\/10.1055\/s-0039-1688757  Ahmed Fadhil Yunlong Wang and Harald Reiterer. 2019. Assistive Conversational Agent for Health Coaching: A Validation Study. Methods of Information in Medicine. https:\/\/doi.org\/10.1055\/s-0039-1688757","DOI":"10.1055\/s-0039-1688757"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Kathleen Kara Fitzpatrick Alison Darcy and Molly Vierhile. 2017. Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial. JMIR mental health 4 2: e19. https:\/\/doi.org\/10.2196\/mental.7785  Kathleen Kara Fitzpatrick Alison Darcy and Molly Vierhile. 2017. Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial. JMIR mental health 4 2: e19. https:\/\/doi.org\/10.2196\/mental.7785","DOI":"10.2196\/mental.7785"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.2196\/mental.9782"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Jianfeng Gao Michel Galley and Lihong Li. 2018. Neural Approaches to Conversational AI. https:\/\/doi.org\/10.1145\/3209978.3210183  Jianfeng Gao Michel Galley and Lihong Li. 2018. Neural Approaches to Conversational AI. https:\/\/doi.org\/10.1145\/3209978.3210183","DOI":"10.1145\/3209978.3210183"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1002\/mcda.428"},{"key":"e_1_3_2_1_27_1","volume-title":"Zaki","author":"Haussmann Steven","year":"2019","unstructured":"Steven Haussmann , Oshani Seneviratne , Yu Chen , Yarden Ne'eman , James Codella , Ching-Hua Chen , Deborah L. McGuinness , and Mohammed J . Zaki . 2019 . FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11779 LNCS : 146\u2013162. https:\/\/doi.org\/10.1007\/978-3-030-30796-7_10 Steven Haussmann, Oshani Seneviratne, Yu Chen, Yarden Ne'eman, James Codella, Ching-Hua Chen, Deborah L. McGuinness, and Mohammed J. Zaki. 2019. FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11779 LNCS: 146\u2013162. https:\/\/doi.org\/10.1007\/978-3-030-30796-7_10"},{"key":"e_1_3_2_1_28_1","volume-title":"Hone and Robert Graham","author":"Kate","year":"2000","unstructured":"Kate S. Hone and Robert Graham . 2000 . Towards a tool for the Subjective Assessment of Speech System Interfaces (SASSI). Natural Language Engineering 6, 3&4: S1351324900002497. https:\/\/doi.org\/10.1017\/S1351324900002497 Kate S. Hone and Robert Graham. 2000. Towards a tool for the Subjective Assessment of Speech System Interfaces (SASSI). Natural Language Engineering 6, 3&4: S1351324900002497. https:\/\/doi.org\/10.1017\/S1351324900002497"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"Becky Inkster Shubhankar Sarda and Vinod Subramanian. 2018. An Empathy-Driven Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study. JMIR mHealth and uHealth 6 11: e12106. https:\/\/doi.org\/10.2196\/12106  Becky Inkster Shubhankar Sarda and Vinod Subramanian. 2018. An Empathy-Driven Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study. JMIR mHealth and uHealth 6 11: e12106. https:\/\/doi.org\/10.2196\/12106","DOI":"10.2196\/12106"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Lifeng Jin Michael White Evan Jaffe Laura Zimmerman and Douglas Danforth. 2017. Combining CNNs and Pattern Matching for Question Interpretation in a Virtual Patient Dialogue System. 11\u201321. https:\/\/doi.org\/10.18653\/V1\/W17-5002  Lifeng Jin Michael White Evan Jaffe Laura Zimmerman and Douglas Danforth. 2017. Combining CNNs and Pattern Matching for Question Interpretation in a Virtual Patient Dialogue System. 11\u201321. https:\/\/doi.org\/10.18653\/V1\/W17-5002","DOI":"10.18653\/v1\/W17-5002"},{"key":"e_1_3_2_1_31_1","volume-title":"Is Pessimism Provably Efficient for Offline RL? Retrieved","author":"Jin Ying","year":"2021","unstructured":"Ying Jin , Zhuoran Yang , and Zhaoran Wang . 2020. Is Pessimism Provably Efficient for Offline RL? Retrieved July 5, 2021 from http:\/\/arxiv.org\/abs\/2012.15085 Ying Jin, Zhuoran Yang, and Zhaoran Wang. 2020. Is Pessimism Provably Efficient for Offline RL? Retrieved July 5, 2021 from http:\/\/arxiv.org\/abs\/2012.15085"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2010.5583021"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/1459359.1459548"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2011.08.017"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3334480.3375154"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.2196\/15360"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3214273"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocy072"},{"key":"e_1_3_2_1_39_1","first-page":"1234","article-title":"BioBERT: a pre-trained biomedical language representation model for biomedical text mining","volume":"36","author":"Lee Jinhyuk","year":"2019","unstructured":"Jinhyuk Lee , Wonjin Yoon , Sungdong Kim , Donghyeon Kim , Sunkyu Kim , Chan Ho So , and Jaewoo Kang . 2019 . BioBERT: a pre-trained biomedical language representation model for biomedical text mining . Bioinformatics 36 , 4: 1234 \u2013 1240 . https:\/\/doi.org\/10.1093\/bioinformatics\/btz682 Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang. 2019. BioBERT: a pre-trained biomedical language representation model for biomedical text mining. Bioinformatics 36, 4: 1234\u20131240. https:\/\/doi.org\/10.1093\/bioinformatics\/btz682","journal-title":"Bioinformatics"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1127"},{"key":"e_1_3_2_1_41_1","volume-title":"Deep Reinforcement Learning for Dialogue Generation. EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings: 1192\u20131202","author":"Li Jiwei","year":"2016","unstructured":"Jiwei Li , Will Monroe , Alan Ritter , Michel Galley , Jianfeng Gao , and Dan Jurafsky . 2016 . Deep Reinforcement Learning for Dialogue Generation. EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings: 1192\u20131202 . Retrieved July 5, 2021 from http:\/\/arxiv.org\/abs\/1606.01541 Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao, and Dan Jurafsky. 2016. Deep Reinforcement Learning for Dialogue Generation. EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings: 1192\u20131202. Retrieved July 5, 2021 from http:\/\/arxiv.org\/abs\/1606.01541"},{"key":"e_1_3_2_1_42_1","volume-title":"End-to-End Task-Completion Neural Dialogue Systems. Retrieved","author":"Li Xiujun","year":"2021","unstructured":"Xiujun Li , Yun-Nung Chen , Lihong Li , Jianfeng Gao , and Asli Celikyilmaz . 2017. End-to-End Task-Completion Neural Dialogue Systems. Retrieved July 5, 2021 from http:\/\/arxiv.org\/abs\/1703.01008 Xiujun Li, Yun-Nung Chen, Lihong Li, Jianfeng Gao, and Asli Celikyilmaz. 2017. End-to-End Task-Completion Neural Dialogue Systems. Retrieved July 5, 2021 from http:\/\/arxiv.org\/abs\/1703.01008"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W15-4640"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/505282.505285"},{"key":"e_1_3_2_1_45_1","volume-title":"Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management - MADiMa \u201916","author":"Merler Michele","unstructured":"Michele Merler , Hui Wu , Rosario Uceda-Sosa , Quoc-Bao Nguyen , and John R. Smith . 2016. Snap, Eat, RepEat: a Food Recognition Engine for Dietary Logging . In Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management - MADiMa \u201916 , 31\u201340. https:\/\/doi.org\/10.1145\/2986035.2986036 Michele Merler, Hui Wu, Rosario Uceda-Sosa, Quoc-Bao Nguyen, and John R. Smith. 2016. Snap, Eat, RepEat: a Food Recognition Engine for Dietary Logging. In Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management - MADiMa \u201916, 31\u201340. https:\/\/doi.org\/10.1145\/2986035.2986036"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"crossref","unstructured":"B. Middleton D. F. Sittig and A. Wright. 2016. Clinical Decision Support: a 25 Year Retrospective and a 25 Year Vision. Yearbook of Medical Informatics 25 S 01: S103\u2013S116. https:\/\/doi.org\/10.15265\/IYS-2016-s034  B. Middleton D. F. Sittig and A. Wright. 2016. Clinical Decision Support: a 25 Year Retrospective and a 25 Year Vision. Yearbook of Medical Informatics 25 S 01: S103\u2013S116. https:\/\/doi.org\/10.15265\/IYS-2016-s034","DOI":"10.15265\/IYS-2016-s034"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445555"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3449173"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.03.054"},{"key":"e_1_3_2_1_50_1","volume-title":"Natural Language Processing Based Nutritional Application","author":"Naphtal Rachael","unstructured":"Rachael Naphtal . 2015. Natural Language Processing Based Nutritional Application . Massachusetts Institute of Technology . Rachael Naphtal. 2015. Natural Language Processing Based Nutritional Application. Massachusetts Institute of Technology."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-6989-5_4"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1111\/nuf.12042"},{"key":"e_1_3_2_1_53_1","volume-title":"Conference on Human Factors in Computing Systems - Proceedings, 1\u201313","author":"Raj Shriti","unstructured":"Shriti Raj , Kelsey Toporski , Ashley Garrity , Joyce M. Lee , and Mark W. Newman . 2019. \u201cMy blood sugar is higher on the weekends\u201d: Finding a role for context and context-awareness in the design of health self-management technology . In Conference on Human Factors in Computing Systems - Proceedings, 1\u201313 . https:\/\/doi.org\/10.1145\/3290605.3300349 Shriti Raj, Kelsey Toporski, Ashley Garrity, Joyce M. Lee, and Mark W. Newman. 2019. \u201cMy blood sugar is higher on the weekends\u201d: Finding a role for context and context-awareness in the design of health self-management technology. In Conference on Human Factors in Computing Systems - Proceedings, 1\u201313. https:\/\/doi.org\/10.1145\/3290605.3300349"},{"key":"e_1_3_2_1_54_1","volume-title":"Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI \u201919","author":"Rutjes Heleen","unstructured":"Heleen Rutjes , Martijn C. Willemsen , and Wijnand A. I Jsselsteijn . 2019. Beyond Behavior: The Coach's Perspective on Technology in Health Coaching . In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI \u201919 , 1\u201314. https:\/\/doi.org\/10.1145\/3290605.3300900 Heleen Rutjes, Martijn C. Willemsen, and Wijnand A. IJsselsteijn. 2019. Beyond Behavior: The Coach's Perspective on Technology in Health Coaching. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI \u201919, 1\u201314. https:\/\/doi.org\/10.1145\/3290605.3300900"},{"key":"e_1_3_2_1_55_1","first-page":"251","article-title":"Relative measurement and its generalization in decision making why pairwise comparisons are central in mathematics for the measurement of intangible factors the analytic hierarchy\/network process. Revista de la Real Academia de Ciencias Exactas, Fisicas y Naturales - Serie A","volume":"102","author":"Saaty Thomas L","year":"2008","unstructured":"Thomas L Saaty . 2008 . Relative measurement and its generalization in decision making why pairwise comparisons are central in mathematics for the measurement of intangible factors the analytic hierarchy\/network process. Revista de la Real Academia de Ciencias Exactas, Fisicas y Naturales - Serie A : Matematicas 102 , 2: 251 \u2013 318 . https:\/\/doi.org\/10.1007\/BF03191825 Thomas L Saaty. 2008. Relative measurement and its generalization in decision making why pairwise comparisons are central in mathematics for the measurement of intangible factors the analytic hierarchy\/network process. Revista de la Real Academia de Ciencias Exactas, Fisicas y Naturales - Serie A: Matematicas 102, 2: 251\u2013318. https:\/\/doi.org\/10.1007\/BF03191825","journal-title":"Matematicas"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3369809"},{"key":"e_1_3_2_1_57_1","volume-title":"An Intelligent Conversational Agent for Promoting Long-term Health Behavior Change Using Motivational Interviewing. 2011 AAAI Spring Symposium Series. Retrieved","author":"Schulman Daniel","year":"2011","unstructured":"Daniel Schulman , Timothy Bickmore , and Candace L Sidner . 2011 . An Intelligent Conversational Agent for Promoting Long-term Health Behavior Change Using Motivational Interviewing. 2011 AAAI Spring Symposium Series. Retrieved April 26, 2017 from http:\/\/relationalagents.com\/publications\/AAAI2011-schulman.pdf Daniel Schulman, Timothy Bickmore, and Candace L Sidner. 2011. An Intelligent Conversational Agent for Promoting Long-term Health Behavior Change Using Motivational Interviewing. 2011 AAAI Spring Symposium Series. Retrieved April 26, 2017 from http:\/\/relationalagents.com\/publications\/AAAI2011-schulman.pdf"},{"key":"e_1_3_2_1_58_1","volume-title":"Retrieved","author":"Serban Iulian V.","year":"2017","unstructured":"Iulian V. Serban , Chinnadhurai Sankar , Mathieu Germain , Saizheng Zhang , Zhouhan Lin , Sandeep Subramanian , Taesup Kim , Michael Pieper , Sarath Chandar , Nan Rosemary Ke , Sai Rajeshwar , Alexandre de Brebisson , Jose M. R. Sotelo , Dendi Suhubdy , Vincent Michalski , Alexandre Nguyen , Joelle Pineau , and Yoshua Bengio . 2017 . A Deep Reinforcement Learning Chatbot . Retrieved December 28, 2021 from https:\/\/arxiv.org\/abs\/1709.02349v2 Iulian V. Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Rajeshwar, Alexandre de Brebisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, and Yoshua Bengio. 2017. A Deep Reinforcement Learning Chatbot. Retrieved December 28, 2021 from https:\/\/arxiv.org\/abs\/1709.02349v2"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"crossref","unstructured":"Iulian Vlad Serban Ryan Lowe Peter Henderson Laurent Charlin and Joelle Pineau. 2015. A Survey of Available Corpora for Building Data-Driven Dialogue Systems. arXiv preprint. https:\/\/doi.org\/10.5087\/dad  Iulian Vlad Serban Ryan Lowe Peter Henderson Laurent Charlin and Joelle Pineau. 2015. A Survey of Available Corpora for Building Data-Driven Dialogue Systems. arXiv preprint. https:\/\/doi.org\/10.5087\/dad","DOI":"10.5087\/dad"},{"key":"e_1_3_2_1_60_1","volume-title":"Retrieved","author":"Shah Pararth","year":"2018","unstructured":"Pararth Shah , Dilek Hakkani-T\u00fcr , Gokhan T\u00fcr , Abhinav Rastogi , Ankur Bapna , Neha Nayak , and Larry Heck . 2018 . Building a Conversational Agent Overnight with Dialogue Self-Play . Retrieved July 11, 2019 from http:\/\/arxiv.org\/abs\/1801.04871 Pararth Shah, Dilek Hakkani-T\u00fcr, Gokhan T\u00fcr, Abhinav Rastogi, Ankur Bapna, Neha Nayak, and Larry Heck. 2018. Building a Conversational Agent Overnight with Dialogue Self-Play. Retrieved July 11, 2019 from http:\/\/arxiv.org\/abs\/1801.04871"},{"key":"e_1_3_2_1_61_1","volume-title":"Thore Graepel, and Demis Hassabis.","author":"Silver David","year":"2017","unstructured":"David Silver , Julian Schrittwieser , Karen Simonyan , Ioannis Antonoglou , Aja Huang , Arthur Guez , Thomas Hubert , Lucas Baker , Matthew Lai , Adrian Bolton , Yutian Chen , Timothy Lillicrap , Fan Hui , Laurent Sifre , George Van Den Driessche , Thore Graepel, and Demis Hassabis. 2017 . Mastering the game of Go without human knowledge. Nature 550, 7676: 354\u2013359. https:\/\/doi.org\/10.1038\/nature24270 David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy Lillicrap, Fan Hui, Laurent Sifre, George Van Den Driessche, Thore Graepel, and Demis Hassabis. 2017. Mastering the game of Go without human knowledge. Nature 550, 7676: 354\u2013359. https:\/\/doi.org\/10.1038\/nature24270"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-5518"},{"key":"e_1_3_2_1_63_1","volume-title":"Reinforcement learning: An introduction","author":"Sutton Richard S","unstructured":"Richard S Sutton and Andrew G Barto . 2018. Reinforcement learning: An introduction . MIT press . Richard S Sutton and Andrew G Barto. 2018. Reinforcement learning: An introduction. MIT press."},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1109\/JTEHM.2017.2752152"},{"key":"e_1_3_2_1_65_1","volume-title":"Offline Reinforcement Learning. Conference on Health, Inference, and Learning (CHIL 2021","author":"Tennenholtz Guy","year":"2021","unstructured":"Guy Tennenholtz . 2021 . Offline Reinforcement Learning. Conference on Health, Inference, and Learning (CHIL 2021 ). Retrieved July 5, 2021 from https:\/\/www.chilconference.org\/tutorial_T03.html Guy Tennenholtz. 2021. Offline Reinforcement Learning. Conference on Health, Inference, and Learning (CHIL 2021). Retrieved July 5, 2021 from https:\/\/www.chilconference.org\/tutorial_T03.html"},{"key":"e_1_3_2_1_66_1","volume-title":"Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1\u201317","author":"Tsai Chun-Hua","unstructured":"Chun-Hua Tsai , Yue You , Xinning Gui , Yubo Kou , and John M. Carroll . 2021. Exploring and Promoting Diagnostic Transparency and Explainability in Online Symptom Checkers . In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1\u201317 . https:\/\/doi.org\/10.1145\/3411764.3445101 Chun-Hua Tsai, Yue You, Xinning Gui, Yubo Kou, and John M. Carroll. 2021. Exploring and Promoting Diagnostic Transparency and Explainability in Online Symptom Checkers. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1\u201317. https:\/\/doi.org\/10.1145\/3411764.3445101"},{"key":"e_1_3_2_1_67_1","unstructured":"United States Department of Agriculture (USDA). ChooseMyPlate. Retrieved September 16 2020 from https:\/\/www.choosemyplate.gov\/  United States Department of Agriculture (USDA). ChooseMyPlate. Retrieved September 16 2020 from https:\/\/www.choosemyplate.gov\/"},{"key":"e_1_3_2_1_68_1","volume-title":"Antonio Melpignano, L Vaira, M A Bochicchio, M Conte, and F Margiotta Casaluci.","author":"Vaira Lucia","year":"2018","unstructured":"Lucia Vaira , Mario A Bochicchio , Matteo Conte , Francesco Margiotta Casaluci , Antonio Melpignano, L Vaira, M A Bochicchio, M Conte, and F Margiotta Casaluci. 2018 . MamaBot: a System based on ML and NLP for supporting Women and Families during Pregnancy . https:\/\/doi.org\/10.1145\/3216122.3216173 Lucia Vaira, Mario A Bochicchio, Matteo Conte, Francesco Margiotta Casaluci, Antonio Melpignano, L Vaira, M A Bochicchio, M Conte, and F Margiotta Casaluci. 2018. MamaBot: a System based on ML and NLP for supporting Women and Families during Pregnancy. https:\/\/doi.org\/10.1145\/3216122.3216173"},{"key":"e_1_3_2_1_69_1","volume-title":"Retrieved","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N Gomez , \u0141ukasz Kaiser , and Illia Polosukhin . 2017 . Attention is all you need. In Advances in Neural Information Processing Systems, 5999\u20136009 . Retrieved October 23, 2018 from https:\/\/arxiv.org\/pdf\/1706.03762.pdf Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. In Advances in Neural Information Processing Systems, 5999\u20136009. Retrieved October 23, 2018 from https:\/\/arxiv.org\/pdf\/1706.03762.pdf"},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"crossref","unstructured":"Christopher J C H Watkins and Peter Dayan. 1992. Q-Learning. 8: 279\u2013292.  Christopher J C H Watkins and Peter Dayan. 1992. Q-Learning. 8: 279\u2013292.","DOI":"10.1023\/A:1022676722315"},{"key":"e_1_3_2_1_71_1","volume-title":"Retrieved","author":"Watkins CJCH","year":"1989","unstructured":"CJCH Watkins . 1989 . Learning from delayed rewards . Retrieved July 18, 2021 from https:\/\/www.academia.edu\/download\/50360235\/Learning_from_delayed_rewards_20161116-28282-v2pwvq.pdf CJCH Watkins. 1989. Learning from delayed rewards. Retrieved July 18, 2021 from https:\/\/www.academia.edu\/download\/50360235\/Learning_from_delayed_rewards_20161116-28282-v2pwvq.pdf"},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1145\/365153.365168"},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1001\/archinternmed.2011.508"},{"key":"e_1_3_2_1_74_1","volume-title":"PlateClick. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM \u201915","author":"Yang Longqi","year":"2015","unstructured":"Longqi Yang , Yin Cui , Fan Zhang , John P. Pollak , Serge Belongie , and Deborah Estrin . 2015 . PlateClick. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM \u201915 , 183\u2013192. https:\/\/doi.org\/10.1145\/2806416.2806544 Longqi Yang, Yin Cui, Fan Zhang, John P. Pollak, Serge Belongie, and Deborah Estrin. 2015. PlateClick. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM \u201915, 183\u2013192. https:\/\/doi.org\/10.1145\/2806416.2806544"},{"key":"e_1_3_2_1_75_1","first-page":"7","article-title":"Yum-me: A Personalized Nutrient-based Meal Recommender System","volume":"36","author":"Yang Longqi","year":"2016","unstructured":"Longqi Yang , Cheng-Kang Hsieh , Hongjian Yang , Nicola Dell , Serge Belongie , Curtis Cole , and Deborah Estrin . 2016 . Yum-me: A Personalized Nutrient-based Meal Recommender System . ACM Transactions on Information Systems 36 , 1: 7 . https:\/\/doi.org\/10.1145\/3072614 Longqi Yang, Cheng-Kang Hsieh, Hongjian Yang, Nicola Dell, Serge Belongie, Curtis Cole, and Deborah Estrin. 2016. Yum-me: A Personalized Nutrient-based Meal Recommender System. ACM Transactions on Information Systems 36, 1: 7. https:\/\/doi.org\/10.1145\/3072614","journal-title":"ACM Transactions on Information Systems"},{"key":"e_1_3_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12193-014-0169-9"},{"key":"e_1_3_2_1_77_1","volume-title":"Patrick Lange, Zhou Yu, and Yoshimi Fukuoka.","author":"Zhang Jingwen","year":"2020","unstructured":"Jingwen Zhang , Yoo Jung Oh , Patrick Lange, Zhou Yu, and Yoshimi Fukuoka. 2020 . Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet : Viewpoint. J Med Internet Res 2020;22(9):e22845 https:\/\/www.jmir.org\/2020\/9\/e22845 22, 9: e22845. https:\/\/doi.org\/10.2196\/22845 Jingwen Zhang, Yoo Jung Oh, Patrick Lange, Zhou Yu, and Yoshimi Fukuoka. 2020. Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint. J Med Internet Res 2020;22(9):e22845 https:\/\/www.jmir.org\/2020\/9\/e22845 22, 9: e22845. https:\/\/doi.org\/10.2196\/22845"},{"key":"e_1_3_2_1_78_1","unstructured":"Nutrition API by Nutritionix. Retrieved March 26 2018 from https:\/\/www.nutritionix.com\/business\/api  Nutrition API by Nutritionix. Retrieved March 26 2018 from https:\/\/www.nutritionix.com\/business\/api"}],"event":{"name":"CHI '22: CHI Conference on Human Factors in Computing Systems","location":"New Orleans LA USA","acronym":"CHI '22","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3491102.3501886","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3491102.3501886","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:53Z","timestamp":1750188653000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3491102.3501886"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,29]]},"references-count":78,"alternative-id":["10.1145\/3491102.3501886","10.1145\/3491102"],"URL":"https:\/\/doi.org\/10.1145\/3491102.3501886","relation":{},"subject":[],"published":{"date-parts":[[2022,4,29]]}}}