{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T15:25:31Z","timestamp":1777735531979,"version":"3.51.4"},"reference-count":187,"publisher":"Association for Computing Machinery (ACM)","issue":"CSCW1","license":[{"start":{"date-parts":[[2023,4,14]],"date-time":"2023-04-14T00:00:00Z","timestamp":1681430400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2020872"],"award-info":[{"award-number":["2020872"]}],"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 Hum.-Comput. Interact."],"published-print":{"date-parts":[[2023,4,14]]},"abstract":"<jats:p>The workplace has experienced extensive digital transformation, in part due to artificial intelligence's commercial availability. Though still an emerging technology, emotional artificial intelligence (EAI) is increasingly incorporated into enterprise systems to augment and automate organizational decisions and to monitor and manage workers. EAI use is often celebrated for its potential to improve workers' wellbeing and performance as well as address organizational problems such as bias and safety. Workers subject to EAI in the workplace are data subjects whose data make EAI possible and who are most impacted by it. However, we lack empirical knowledge about data subjects' perspectives on EAI, including in the workplace. To this end, using a relational ethics lens, we qualitatively analyzed 395 U.S. adults' open-ended survey (partly representative) responses regarding the perceived benefits and risks they associate with being subjected to EAI in the workplace. While participants acknowledged potential benefits of being subject to EAI (e.g., employers using EAI to aid their wellbeing, enhance their work environment, reduce bias), a myriad of potential risks overshadowed perceptions of potential benefits. Participants expressed concerns regarding the potential for EAI use to harm their wellbeing, work environment and employment status, and create and amplify bias and stigma against them, especially the most marginalized (e.g., along dimensions of race, gender, mental health status, disability). Distrustful of EAI and its potential risks, participants anticipated conforming to (e.g., partaking in emotional labor) or refusing (e.g., quitting a job) EAI implementation in practice. We argue that EAI may magnify, rather than alleviate, existing challenges data subjects face in the workplace and suggest that some EAI-inflicted harms would persist even if concerns of EAI's accuracy and bias are addressed.<\/jats:p>","DOI":"10.1145\/3579600","type":"journal-article","created":{"date-parts":[[2023,4,16]],"date-time":"2023-04-16T17:23:07Z","timestamp":1681665787000},"page":"1-38","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":44,"title":["Data Subjects' Perspectives on Emotion Artificial Intelligence Use in the Workplace: A Relational Ethics Lens"],"prefix":"10.1145","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4881-6805","authenticated-orcid":false,"given":"Shanley","family":"Corvite","sequence":"first","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2730-1586","authenticated-orcid":false,"given":"Kat","family":"Roemmich","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8795-9051","authenticated-orcid":false,"given":"Tillie Ilana","family":"Rosenberg","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3257-2527","authenticated-orcid":false,"given":"Nazanin","family":"Andalibi","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}]}],"member":"320","published-online":{"date-parts":[[2023,4,16]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2501604.2501613"},{"key":"e_1_2_1_2_1","first-page":"98","article-title":"Yesterday's tomorrow","volume":"3","author":"Agre Philip","year":"1998","unstructured":"Philip Agre. 1998. Yesterday's tomorrow. Times Literary Supplement, Vol. 3, 7 (1998), 98.","journal-title":"Times Literary Supplement"},{"key":"e_1_2_1_3_1","first-page":"735","article-title":"Limitless worker surveillance","volume":"105","author":"Ajunwa Ifeoma","year":"2017","unstructured":"Ifeoma Ajunwa, Kate Crawford, and Jason Schultz. 2017. Limitless worker surveillance. Calif. L. Rev., Vol. 105 (2017), 735.","journal-title":"Calif. L. Rev."},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3419249.3421237"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300233"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v8i1.14503"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376680"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3173732"},{"key":"e_1_2_1_9_1","volume-title":"Private government","author":"Anderson Elizabeth","unstructured":"Elizabeth Anderson. 2017. Private government. Princeton University Press."},{"key":"e_1_2_1_10_1","volume-title":"Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness. arXiv preprint arXiv:2205.01038","author":"Andrus McKane","year":"2022","unstructured":"McKane Andrus and Sarah Villeneuve. 2022. Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness. arXiv preprint arXiv:2205.01038 (2022)."},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.5465\/ame.2002.6640191"},{"key":"e_1_2_1_12_1","volume-title":"Confidentiality in qualitative research: Reflections on secrets, power and agency. Qualitative research","author":"Baez Benjamin","year":"2002","unstructured":"Benjamin Baez. 2002. Confidentiality in qualitative research: Reflections on secrets, power and agency. Qualitative research, Vol. 2, 1 (2002), 35--58."},{"key":"e_1_2_1_13_1","volume-title":"The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations. arXiv preprint arXiv:2205.03295","author":"Balagopalan Aparna","year":"2022","unstructured":"Aparna Balagopalan, Haoran Zhang, Kimia Hamidieh, Thomas Hartvigsen, Frank Rudzicz, and Marzyeh Ghassemi. 2022. The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations. arXiv preprint arXiv:2205.03295 (2022)."},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1080\/00236561003654776"},{"key":"e_1_2_1_15_1","volume-title":"Electronic monitoring and surveillance in call centres: a framework for investigation. New technology, work and employment","author":"Ball Kirstie S","year":"2011","unstructured":"Kirstie S Ball and Stephen T Margulis. 2011. Electronic monitoring and surveillance in call centres: a framework for investigation. New technology, work and employment, Vol. 26, 2 (2011), 113--126."},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.15171\/ijhpm.2019.08"},{"key":"e_1_2_1_17_1","volume-title":"How emotions are made: The secret life of the brain","author":"Barrett Lisa Feldman","unstructured":"Lisa Feldman Barrett. 2017. How emotions are made: The secret life of the brain. Pan Macmillan."},{"key":"e_1_2_1_18_1","volume-title":"Emotional expressions reconsidered: Challenges to inferring emotion from human facial movements. Psychological science in the public interest","author":"Barrett Lisa Feldman","year":"2019","unstructured":"Lisa Feldman Barrett, Ralph Adolphs, Stacy Marsella, Aleix M Martinez, and Seth D Pollak. 2019. Emotional expressions reconsidered: Challenges to inferring emotion from human facial movements. Psychological science in the public interest, Vol. 20, 1 (2019), 1--68."},{"key":"e_1_2_1_19_1","volume-title":"The rise of emotion AI: Decoding flow experiences in sports","author":"Bartl Michael","unstructured":"Michael Bartl and Johann F\u00fcller. 2020. The rise of emotion AI: Decoding flow experiences in sports. Springer, Cham. 219--229 pages."},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2675133.2675297"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/RE.2016.20"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2021.100205"},{"key":"e_1_2_1_23_1","volume-title":"2022 ACM Conference on Fairness, Accountability, and Transparency. 948--958","author":"Birhane Abeba","unstructured":"Abeba Birhane, Elayne Ruane, Thomas Laurent, Matthew S. Brown, Johnathan Flowers, Anthony Ventresque, and Christopher L. Dancy. 2022. The forgotten margins of AI ethics. In 2022 ACM Conference on Fairness, Accountability, and Transparency. 948--958."},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1006\/jvbe.2001.1815"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2556288.2557059"},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306618.3314284"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.5555\/874070.876055"},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3278721.3278780"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287587"},{"key":"e_1_2_1_30_1","volume-title":"Methods in predictive techniques for mental health status on social media: a critical review. NPJ digital medicine","author":"Chancellor Stevie","year":"2020","unstructured":"Stevie Chancellor and Munmun De Choudhury. 2020. Methods in predictive techniques for mental health status on social media: a critical review. NPJ digital medicine, Vol. 3, 1 (2020), 1--11."},{"key":"e_1_2_1_31_1","volume-title":"Fair prediction with disparate impact: A study of bias in recidivism prediction instruments. Big data","author":"Chouldechova Alexandra","year":"2017","unstructured":"Alexandra Chouldechova. 2017. Fair prediction with disparate impact: A study of bias in recidivism prediction instruments. Big data, Vol. 5, 2 (2017), 153--163."},{"key":"e_1_2_1_32_1","volume-title":"Jennifer Rode, Anna Lauren Hoffman, Niloufar Salehi, and Lisa Nakamura.","author":"Cifor Marika","year":"2019","unstructured":"Marika Cifor, Patricia Garcia, T. L. Cowan, Jasmine Rault, Tonia Sutherland, Anita Say Chan, Jennifer Rode, Anna Lauren Hoffman, Niloufar Salehi, and Lisa Nakamura. 2019. Feminist Data Manifest-No. https:\/\/www.manifestno.com\/"},{"key":"e_1_2_1_33_1","volume-title":"Privacy harms. GWU Legal Studies Research Paper 2021--11","author":"Citron Danielle Keats","year":"2021","unstructured":"Danielle Keats Citron and Daniel J Solove. 2021. Privacy harms. GWU Legal Studies Research Paper 2021--11 (2021)."},{"key":"e_1_2_1_34_1","volume-title":"Biocitizenship","author":"Condit Celeste M","unstructured":"Celeste M Condit. 2018. 13. The Supra-Cyborg: The Rise of Global Governing Corporatocracies. In Biocitizenship. New York University Press, 274--306."},{"key":"e_1_2_1_35_1","volume-title":"Design justice: Community-led practices to build the worlds we need","author":"Costanza-Chock Sasha","unstructured":"Sasha Costanza-Chock. 2020. Design justice: Community-led practices to build the worlds we need. The MIT Press."},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1080\/00050060310001707117"},{"key":"e_1_2_1_37_1","volume-title":"Ethical issues in affective computing. The Oxford handbook of affective computing","author":"Cowie Roddy","year":"2015","unstructured":"Roddy Cowie. 2015. Ethical issues in affective computing. The Oxford handbook of affective computing (2015), 334--348."},{"key":"e_1_2_1_38_1","volume-title":"Nature","volume":"592","author":"Kate","year":"2021","unstructured":"Kate Crawford et al. 2021. Time to regulate AI that interprets human emotions. Nature, Vol. 592, 7853 (2021), 167--167."},{"key":"e_1_2_1_39_1","volume-title":"Andrea Nill S\u00e1nchez, et al","author":"Crawford Kate","year":"2019","unstructured":"Kate Crawford, Roel Dobbe, Theodora Dryer, Genevieve Fried, Ben Green, Elizabeth Kaziunas, Amba Kak, Varoon Mathur, Erin McElroy, Andrea Nill S\u00e1nchez, et al. 2019. AI now 2019 report. New York, NY: AI Now Institute (2019)."},{"key":"e_1_2_1_40_1","volume-title":"Emotional and physiological processes and positive intervention strategies","author":"Cropanzano Russell","unstructured":"Russell Cropanzano, Howard M Weiss, and Steven M Elias. 2003. The impact of display rules and emotional labor on psychological well-being at work. In Emotional and physiological processes and positive intervention strategies. Emerald Group Publishing Limited."},{"key":"e_1_2_1_41_1","volume-title":"Descartes' error: emotion, reason and the human brain rev. ed. with a new preface ed.). Vintage","author":"Damasio Antonio R.","unstructured":"Antonio R. Damasio. 2006. Descartes' error: emotion, reason and the human brain rev. ed. with a new preface ed.). Vintage, London. OCLC: 255585811."},{"key":"e_1_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3369828"},{"key":"e_1_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376793"},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11747-019-00696-0"},{"key":"e_1_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/2441776.2441812"},{"key":"e_1_2_1_46_1","volume-title":"Proceedings of the International AAAI Conference on Web and Social Media","volume":"6","author":"Choudhury Munmun De","year":"2012","unstructured":"Munmun De Choudhury, Michael Gamon, and Scott Counts. 2012. Happy, nervous or surprised? classification of human affective states in social media. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 6. 435--438."},{"key":"e_1_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISS1.2017.8389299"},{"key":"e_1_2_1_48_1","volume-title":"The theory of emotion. Psychological review","author":"Dewey John","year":"1895","unstructured":"John Dewey. 1895. The theory of emotion. Psychological review, Vol. 2, 1 ( 1895), 13."},{"key":"e_1_2_1_49_1","volume-title":"Data feminism","author":"D'ignazio Catherine","unstructured":"Catherine D'ignazio and Lauren F Klein. 2020. Data feminism. MIT press."},{"key":"e_1_2_1_50_1","volume-title":"Responsible AI: Gender bias assessment in emotion recognition. arXiv preprint arXiv:2103.11436","author":"Domnich Artem","year":"2021","unstructured":"Artem Domnich and Gholamreza Anbarjafari. 2021. Responsible AI: Gender bias assessment in emotion recognition. arXiv preprint arXiv:2103.11436 (2021)."},{"key":"e_1_2_1_51_1","volume-title":"Nebraska symposium on motivation","author":"Ekman Paul","year":"1971","unstructured":"Paul Ekman. 1971. Universals and cultural differences in facial expressions of emotion.. In Nebraska symposium on motivation. University of Nebraska Press."},{"key":"e_1_2_1_52_1","volume-title":"Basic emotions. Handbook of cognition and emotion","author":"Ekman Paul","year":"1999","unstructured":"Paul Ekman. 1999. Basic emotions. Handbook of cognition and emotion, Vol. 98, 45--60 (1999), 16."},{"key":"e_1_2_1_53_1","unstructured":"Engre Engineer Element. 2022. Emotional Artificial Intelligence Market 2022 - 2030: Global Size Trends Growth Insight. https:\/\/engre.co\/news\/articles\/emotional-ai-market-2022--2030\/"},{"key":"e_1_2_1_54_1","volume-title":"Emotion in the digital age: Technologies, data and psychosocial life","author":"Ellis Darren","unstructured":"Darren Ellis and Ian Tucker. 2020. Emotion in the digital age: Technologies, data and psychosocial life. Routledge."},{"key":"e_1_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1177\/0018726717716752"},{"key":"e_1_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/2702123.2702556"},{"key":"e_1_2_1_57_1","first-page":"1","article-title":"Innovating like an optimist, preparing like a pessimist: Ethical speculation and the legal imagination. Colo","volume":"19","author":"Fiesler Casey","year":"2021","unstructured":"Casey Fiesler. 2021. Innovating like an optimist, preparing like a pessimist: Ethical speculation and the legal imagination. Colo. Tech. LJ, Vol. 19 (2021), 1.","journal-title":"Tech. LJ"},{"key":"e_1_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1177\/0038038587021001008"},{"key":"e_1_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph18041690"},{"key":"e_1_2_1_60_1","unstructured":"Gallup. 2022. State of the Global Workplace: 2022 Report. https:\/\/www.gallup.com\/workplace\/349484\/state-of-the-global-workplace.aspx#ite-393218"},{"key":"e_1_2_1_61_1","first-page":"63","article-title":"Recruitment through artificial intelligence: a conceptual study","volume":"9","author":"Geetha R","year":"2018","unstructured":"R Geetha and Sree Reddy D Bhanu. 2018. Recruitment through artificial intelligence: a conceptual study. International Journal of Mechanical Engineering and Technology, Vol. 9, 7 (2018), 63--70.","journal-title":"International Journal of Mechanical Engineering and Technology"},{"key":"e_1_2_1_62_1","volume-title":"Reconstructing the past: A century of ideas about emotion in psychology. Emotion review","author":"Gendron Maria","year":"2009","unstructured":"Maria Gendron and Lisa Feldman Barrett. 2009. Reconstructing the past: A century of ideas about emotion in psychology. Emotion review, Vol. 1, 4 (2009), 316--339."},{"key":"e_1_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/3322385.3322416"},{"key":"e_1_2_1_64_1","volume-title":"The role of Fitbits in corporate wellness programs: Does step count matter?","author":"Giddens Laurie","year":"2017","unstructured":"Laurie Giddens, Dorothy Leidner, and Ester Gonzalez. 2017. The role of Fitbits in corporate wellness programs: Does step count matter? (2017)."},{"key":"e_1_2_1_65_1","volume-title":"The business case for quality mental health services: why employers should care about the mental health and well-being of their employees. Journal of occupational and environmental medicine","author":"Goetzel Ron Z","year":"2002","unstructured":"Ron Z Goetzel, Ronald J Ozminkowski, Lloyd I Sederer, and Tami L Mark. 2002. The business case for quality mental health services: why employers should care about the mental health and well-being of their employees. Journal of occupational and environmental medicine (2002), 320--330."},{"key":"e_1_2_1_66_1","volume-title":"Lipstick on a pig: Debiasing methods cover up systematic gender biases in word embeddings but do not remove them. arXiv preprint arXiv:1903.03862","author":"Gonen Hila","year":"2019","unstructured":"Hila Gonen and Yoav Goldberg. 2019. Lipstick on a pig: Debiasing methods cover up systematic gender biases in word embeddings but do not remove them. arXiv preprint arXiv:1903.03862 (2019)."},{"key":"e_1_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.3233\/JAD-210096"},{"key":"e_1_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1037\/1076-8998.5.1.95"},{"key":"e_1_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1145\/3512925"},{"key":"e_1_2_1_70_1","volume-title":"Computer supported cooperative work. The Encyclopedia of Human-Computer Interaction","author":"Grudin Jonathan","year":"2013","unstructured":"Jonathan Grudin and Steven Poltrock. 2013. Computer supported cooperative work. The Encyclopedia of Human-Computer Interaction, 2nd Ed. (2013).","edition":"2"},{"key":"e_1_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/3479610"},{"key":"e_1_2_1_72_1","volume-title":"but...\": The effect of race on professors' experiences and emotion management in the undergraduate college classroom. Social psychology quarterly","author":"Harlow Roxanna","year":"2003","unstructured":"Roxanna Harlow. 2003. \" Race doesn't matter, but...\": The effect of race on professors' experiences and emotion management in the undergraduate college classroom. Social psychology quarterly (2003), 348--363."},{"key":"e_1_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445723"},{"key":"e_1_2_1_74_1","volume-title":"Gartner: Practical Privacy - Managing HR Data. https:\/\/www.gartner.com\/document\/3995881?ref=solrAll&refval=278163520","author":"Henein Nader","year":"2021","unstructured":"Nader Henein, Helen Poitevin, and Bart Willemsen. 2021. Gartner: Practical Privacy - Managing HR Data. https:\/\/www.gartner.com\/document\/3995881?ref=solrAll&refval=278163520"},{"key":"e_1_2_1_75_1","volume-title":"Half human, half machine--augmenting service employees with AI for interpersonal emotion regulation. Journal of Service Management","author":"Henkel Alexander P","year":"2020","unstructured":"Alexander P Henkel, Stefano Bromuri, Deniz Iren, and Visara Urovi. 2020. Half human, half machine--augmenting service employees with AI for interpersonal emotion regulation. Journal of Service Management (2020)."},{"key":"e_1_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2014.01.037"},{"key":"e_1_2_1_77_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijlcj.2019.01.003"},{"key":"e_1_2_1_78_1","volume-title":"The managed heart","author":"Hochschild Arlie Russell","unstructured":"Arlie Russell Hochschild. 1983. The managed heart. Routledge."},{"key":"e_1_2_1_79_1","doi-asserted-by":"publisher","DOI":"10.1177\/2096595819896200"},{"key":"e_1_2_1_80_1","volume-title":"Managing technology and middle-and low-skilled employees","author":"Hughes Claretha","unstructured":"Claretha Hughes, Lionel Robert, Kristin Frady, and Adam Arroyos. 2019. Artificial intelligence, employee engagement, fairness, and job outcomes. In Managing technology and middle-and low-skilled employees. Emerald Publishing Limited."},{"key":"e_1_2_1_81_1","doi-asserted-by":"publisher","DOI":"10.1111\/1467-9566.00107"},{"key":"e_1_2_1_82_1","volume-title":"Autism in the workplace: Creating positive employment and career outcomes for Generation A","author":"Hurley-Hanson Amy E","unstructured":"Amy E Hurley-Hanson, Cristina M Giannantonio, and Amy Jane Griffiths. 2020. Autism in the workplace: Creating positive employment and career outcomes for Generation A. Springer."},{"key":"e_1_2_1_83_1","doi-asserted-by":"publisher","DOI":"10.1177\/2374289521990784"},{"key":"e_1_2_1_84_1","doi-asserted-by":"crossref","unstructured":"William James. 1884. What is an emotion?","DOI":"10.1093\/mind\/os-IX.34.188"},{"key":"e_1_2_1_85_1","doi-asserted-by":"publisher","DOI":"10.1177\/0049124105283121"},{"key":"e_1_2_1_86_1","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517453"},{"key":"e_1_2_1_87_1","volume-title":"Innovations in Information and Communication Technologies (IICT-2020)","author":"Kaur Simran","unstructured":"Simran Kaur and Richa Sharma. 2021. Emotion AI: integrating emotional intelligence with artificial intelligence in the digital workplace. In Innovations in Information and Communication Technologies (IICT-2020). Springer, 337--343."},{"key":"e_1_2_1_88_1","unstructured":"Kate Kaye. 2022. Companies are using AI to monitor your mood during sales calls. Zoom might be next. https:\/\/www.protocol.com\/enterprise\/emotion-ai-sales-virtual-zoom"},{"key":"e_1_2_1_89_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638346"},{"key":"e_1_2_1_90_1","volume-title":"Kristof Van Laerhoven, and Gerald Bieber","author":"Kraft Dimitri","year":"2021","unstructured":"Dimitri Kraft, Kristof Van Laerhoven, and Gerald Bieber. 2021. CareCam: Concept of a new tool for Corporate Health Management. In The 14th PErvasive Technologies Related to Assistive Environments Conference. 585--593."},{"key":"e_1_2_1_91_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1320040111"},{"key":"e_1_2_1_92_1","volume-title":"Employee wellbeing, productivity, and firm performance. Sa\"id Business School WP","author":"Krekel Christian","year":"2019","unstructured":"Christian Krekel, George Ward, and Jan-Emmanuel De Neve. 2019. Employee wellbeing, productivity, and firm performance. Sa\"id Business School WP, Vol. 4 (2019)."},{"key":"e_1_2_1_93_1","volume-title":"Conceptualizing stigma. Annual review of Sociology","author":"Link Bruce G","year":"2001","unstructured":"Bruce G Link and Jo C Phelan. 2001. Conceptualizing stigma. Annual review of Sociology (2001), 363--385."},{"key":"e_1_2_1_94_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(06)68184-1"},{"key":"e_1_2_1_95_1","doi-asserted-by":"publisher","DOI":"10.1145\/3374135.3385281"},{"key":"e_1_2_1_96_1","doi-asserted-by":"crossref","unstructured":"George Loewenstein and Jennifer S Lerner. 2003. The role of affect in decision making. (2003).","DOI":"10.1093\/oso\/9780195126013.003.0031"},{"key":"e_1_2_1_97_1","doi-asserted-by":"publisher","DOI":"10.1097\/00012272-200407000-00007"},{"key":"e_1_2_1_98_1","doi-asserted-by":"publisher","DOI":"10.1037\/a0024485"},{"key":"e_1_2_1_99_1","volume-title":"Bosses without a heart: socio-demographic and cross-cultural determinants of attitude toward Emotional AI in the workplace. AI & society","author":"Mantello Peter","year":"2021","unstructured":"Peter Mantello, Manh-Tung Ho, Minh-Hoang Nguyen, and Quan-Hoang Vuong. 2021. Bosses without a heart: socio-demographic and cross-cultural determinants of attitude toward Emotional AI in the workplace. AI & society (2021), 1--23."},{"key":"e_1_2_1_100_1","doi-asserted-by":"publisher","DOI":"10.1145\/2556288.2557204"},{"key":"e_1_2_1_101_1","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858262"},{"key":"e_1_2_1_102_1","doi-asserted-by":"publisher","DOI":"10.1086\/688488"},{"key":"e_1_2_1_103_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10551-012-1215-8"},{"key":"e_1_2_1_104_1","volume-title":"Pedro Rangel Henriques, and Paulo Novais.","author":"Martins Ricardo","year":"2021","unstructured":"Ricardo Martins, Jos\u00e9 Jo ao Almeida, Pedro Rangel Henriques, and Paulo Novais. 2021. Identifying Depression Clues using Emotions and AI.. In ICAART (2). 1137--1143."},{"key":"e_1_2_1_105_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376167"},{"key":"e_1_2_1_106_1","doi-asserted-by":"publisher","DOI":"10.1145\/3359174"},{"key":"e_1_2_1_107_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2961912"},{"key":"e_1_2_1_108_1","doi-asserted-by":"crossref","unstructured":"Dan McQuillan. 2020. Non-fascist AI. (2020).","DOI":"10.31235\/osf.io\/b64sw"},{"key":"e_1_2_1_109_1","doi-asserted-by":"publisher","DOI":"10.4135\/9781526451293"},{"key":"e_1_2_1_110_1","doi-asserted-by":"publisher","DOI":"10.1177\/2053951720904386"},{"key":"e_1_2_1_111_1","volume-title":"Causes and management of stress at work. Occupational and environmental medicine","author":"Michie Susan","year":"2002","unstructured":"Susan Michie. 2002. Causes and management of stress at work. Occupational and environmental medicine, Vol. 59, 1 (2002), 67--72."},{"key":"e_1_2_1_112_1","doi-asserted-by":"publisher","DOI":"10.1145\/3134716"},{"key":"e_1_2_1_113_1","doi-asserted-by":"publisher","DOI":"10.1145\/3449160"},{"key":"e_1_2_1_114_1","doi-asserted-by":"publisher","DOI":"10.1145\/3152422"},{"key":"e_1_2_1_115_1","volume-title":"Commercial Use of Emotion Artificial Intelligence (AI): Implications for Psychiatry. Current Psychiatry Reports","author":"Monteith Scott","year":"2022","unstructured":"Scott Monteith, Tasha Glenn, John Geddes, Peter C Whybrow, and Michael Bauer. 2022. Commercial Use of Emotion Artificial Intelligence (AI): Implications for Psychiatry. Current Psychiatry Reports (2022), 1--9."},{"key":"e_1_2_1_116_1","doi-asserted-by":"publisher","DOI":"10.1177\/1357034X18775203"},{"key":"e_1_2_1_117_1","doi-asserted-by":"crossref","unstructured":"Salla Muuraiskangas Marja Harjumaa Kirsikka Kaipainen Miikka Ermes et al. 2016. Process and effects evaluation of a digital mental health intervention targeted at improving occupational well-being: lessons from an intervention study with failed adoption. JMIR mental health Vol. 3 2 (2016) e4465.","DOI":"10.2196\/mental.4465"},{"key":"e_1_2_1_118_1","first-page":"119","article-title":"Privacy as contextual integrity","volume":"79","author":"Nissenbaum Helen","year":"2004","unstructured":"Helen Nissenbaum. 2004. Privacy as contextual integrity. Wash. L. Rev., Vol. 79 (2004), 119.","journal-title":"Wash. L. Rev."},{"key":"e_1_2_1_119_1","volume-title":"Promised Outputs, and Proposed Actions in Emotion Recognition Patents.","author":"A","year":"2021","unstructured":"A nonymous. 2021. Automated Emotion Recognition in the Workplace: How Proposed Technologies Reveal Potential Futures of Work Data Inputs, Promised Outputs, and Proposed Actions in Emotion Recognition Patents. (2021)."},{"key":"e_1_2_1_120_1","doi-asserted-by":"publisher","unstructured":"Selin E Nugent and Susan Scott-Parker. 2021. Recruitment AI has a Disability Problem: anticipating and mitigating unfair automated hiring decisions. https:\/\/doi.org\/10.31235\/osf.io\/8sxh7","DOI":"10.31235\/osf.io"},{"key":"e_1_2_1_121_1","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287593"},{"key":"e_1_2_1_122_1","unstructured":"The American Institute of Stress. n.d.. Workplace Stress. https:\/\/www.stress.org\/workplace-stress"},{"key":"e_1_2_1_123_1","doi-asserted-by":"publisher","DOI":"10.6092\/issn.2421--2695"},{"key":"e_1_2_1_124_1","volume-title":"Distance matters. Human-computer interaction","author":"Olson Gary M","year":"2000","unstructured":"Gary M Olson and Judith S Olson. 2000. Distance matters. Human-computer interaction, Vol. 15, 2--3 (2000), 139--178."},{"key":"e_1_2_1_125_1","unstructured":"Gloria Omale. 2019. Gartner Identifies Three Most Common AI Use Cases in HR and Recruiting. https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2019-06--19-gartner-identifies-three-most-common-ai-use-cases-in-"},{"key":"e_1_2_1_126_1","unstructured":"Serena Oppenheim. 2019. How The Corporate Wellness Market Has Exploded: Meet The Latest Innovators In The Space. https:\/\/www.forbes.com\/sites\/serenaoppenheim\/2019\/06\/11\/how-the-corporate-wellness-market-has-exploded-meet-the-latest-innovators-in-the-space\/ Section: Healthcare."},{"key":"e_1_2_1_127_1","unstructured":"George Orwell. 1949. 1984. Signet Classic."},{"key":"e_1_2_1_128_1","first-page":"39","article-title":"How often is employee anger an insider risk I? Detecting and measuring negative sentiment versus insider risk in digital communications","volume":"8","author":"Payri Maria","year":"2013","unstructured":"Maria Payri, Michael Cohn, and Ilene R Shaw. 2013. How often is employee anger an insider risk I? Detecting and measuring negative sentiment versus insider risk in digital communications. The Journal of Digital Forensics, Security and Law: JDFSL, Vol. 8, 1 (2013), 39.","journal-title":"The Journal of Digital Forensics, Security and Law: JDFSL"},{"key":"e_1_2_1_129_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11606-011-1810-x"},{"key":"e_1_2_1_130_1","doi-asserted-by":"publisher","DOI":"10.1097\/JOM.0000000000001967"},{"key":"e_1_2_1_131_1","doi-asserted-by":"publisher","DOI":"10.5555\/265013"},{"key":"e_1_2_1_132_1","volume-title":"Gartner: Workplace Analytics Needs Digital Ethics. https:\/\/www.gartner.com\/document\/3164927?ref=authrightrec&refval=3887785","author":"Poitevin Helen","year":"2015","unstructured":"Helen Poitevin. 2015. Gartner: Workplace Analytics Needs Digital Ethics. https:\/\/www.gartner.com\/document\/3164927?ref=authrightrec&refval=3887785"},{"key":"e_1_2_1_133_1","volume-title":"The consequences of emotional labor: Effects on work stress, job satisfaction, and well-being. Motivation and emotion","author":"Pugliesi Karen","year":"1999","unstructured":"Karen Pugliesi. 1999. The consequences of emotional labor: Effects on work stress, job satisfaction, and well-being. Motivation and emotion, Vol. 23, 2 (1999), 125--154."},{"key":"e_1_2_1_134_1","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3372828"},{"key":"e_1_2_1_135_1","doi-asserted-by":"publisher","DOI":"10.1300\/J084v08n01_02"},{"key":"e_1_2_1_136_1","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3372873"},{"key":"e_1_2_1_137_1","doi-asserted-by":"publisher","DOI":"10.1177\/0149206319869435"},{"key":"e_1_2_1_138_1","volume-title":"Racial influence on automated perceptions of emotions. Available at SSRN 3281765","author":"Rhue Lauren","year":"2018","unstructured":"Lauren Rhue. 2018. Racial influence on automated perceptions of emotions. Available at SSRN 3281765 (2018)."},{"key":"e_1_2_1_139_1","unstructured":"Lauren Rhue. 2019. Understanding the Hidden Bias in Emotion-Reading AIs."},{"key":"e_1_2_1_140_1","first-page":"15","article-title":"Dirty data, bad predictions: How civil rights violations impact police data, predictive policing systems, and justice","volume":"94","author":"Richardson Rashida","year":"2019","unstructured":"Rashida Richardson, Jason M Schultz, and Kate Crawford. 2019. Dirty data, bad predictions: How civil rights violations impact police data, predictive policing systems, and justice. NYUL Rev. Online, Vol. 94 (2019), 15.","journal-title":"NYUL Rev. Online"},{"key":"e_1_2_1_141_1","volume-title":"Emotion elicits the social sharing of emotion: Theory and empirical review. Emotion review","author":"Rim\u00e9 Bernard","year":"2009","unstructured":"Bernard Rim\u00e9. 2009. Emotion elicits the social sharing of emotion: Theory and empirical review. Emotion review, Vol. 1, 1 (2009), 60--85."},{"key":"e_1_2_1_142_1","volume-title":"Social sharing of emotion: New evidence and new questions. European review of social psychology","author":"Rim\u00e9 Bernard","year":"1998","unstructured":"Bernard Rim\u00e9, Catrin Finkenauer, Olivier Luminet, Emmanuelle Zech, and Pierre Philippot. 1998. Social sharing of emotion: New evidence and new questions. European review of social psychology, Vol. 9, 1 (1998), 145--189."},{"key":"e_1_2_1_143_1","volume-title":"Emotion regulation and well-being","author":"Rim\u00e9 Bernard","unstructured":"Bernard Rim\u00e9, Dario Paez, Patrick Kanyangara, and Vincent Yzerbyt. 2011. The social sharing of emotions in interpersonal and in collective situations: Common psychosocial consequences. In Emotion regulation and well-being. Springer, 147--163."},{"key":"e_1_2_1_144_1","doi-asserted-by":"publisher","DOI":"10.1145\/3476049"},{"key":"e_1_2_1_145_1","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.2536605"},{"key":"e_1_2_1_146_1","volume-title":"Mental illness stigma: Concepts, consequences, and initiatives to reduce stigma. European psychiatry","author":"R\u00fcsch Nicolas","year":"2005","unstructured":"Nicolas R\u00fcsch, Matthias C Angermeyer, and Patrick W Corrigan. 2005. Mental illness stigma: Concepts, consequences, and initiatives to reduce stigma. European psychiatry, Vol. 20, 8 (2005), 529--539."},{"key":"e_1_2_1_147_1","doi-asserted-by":"publisher","DOI":"10.1145\/3359239"},{"key":"e_1_2_1_148_1","doi-asserted-by":"publisher","DOI":"10.1145\/3449241"},{"key":"e_1_2_1_149_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2019.8925440"},{"key":"e_1_2_1_150_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2018.3620963"},{"key":"e_1_2_1_151_1","unstructured":"Science and Technology Policy Office. 2021. Notice of Request for Information (RFI) on Public and Private Sector Uses of Biometric Technologies. https:\/\/www.federalregister.gov\/documents\/2021\/10\/08\/2021--21975\/notice-of-request-for-information-rfi-on-public-and-private-sector-uses-of-biometric-technologies"},{"key":"e_1_2_1_152_1","unstructured":"Donna Scott Irving Tyler and Dale Kutnick. 2020. Master These Core Enterprise Capabilities to Advance Your Digital Transformation. https:\/\/www.gartner.com\/document\/3985104?ref=solrAll&refval=288221761"},{"key":"e_1_2_1_153_1","volume-title":"Smile for the camera: Privacy and policy implications of emotion AI. arXiv preprint arXiv:1709.00396","author":"Sedenberg Elaine","year":"2017","unstructured":"Elaine Sedenberg and John Chuang. 2017. Smile for the camera: Privacy and policy implications of emotion AI. arXiv preprint arXiv:1709.00396 (2017)."},{"key":"e_1_2_1_154_1","volume-title":"Timo J\"ams\"a, Jouko Miettunen, Matti Isohanni, Katya Rubinstein, Yoram Feldman, Eva Grasa, Iluminada Corripio, Jesus Berdun, et al.","author":"Jussi","year":"2019","unstructured":"Jussi Sepp\"al\"a, Ilaria De Vita, Timo J\"ams\"a, Jouko Miettunen, Matti Isohanni, Katya Rubinstein, Yoram Feldman, Eva Grasa, Iluminada Corripio, Jesus Berdun, et al. 2019. Mobile phone and wearable sensor-based mHealth approaches for psychiatric disorders and symptoms: systematic review. JMIR mental health, Vol. 6, 2 (2019), e9819."},{"key":"e_1_2_1_155_1","doi-asserted-by":"publisher","DOI":"10.1145\/2702123.2702445"},{"key":"e_1_2_1_156_1","doi-asserted-by":"publisher","DOI":"10.1145\/2556288.2557417"},{"key":"e_1_2_1_157_1","doi-asserted-by":"publisher","DOI":"10.1145\/2531602.2531650"},{"key":"e_1_2_1_158_1","doi-asserted-by":"publisher","DOI":"10.1145\/1531674.1531689"},{"key":"e_1_2_1_159_1","volume-title":"Chevallier, Gr$backslash$ezes, and Baumard","author":"Spanton Rory W","year":"2020","unstructured":"Rory W Spanton and Olivia Guest. 2022. Measuring Trustworthiness or Automating Physiognomy? A Comment on Safra, Chevallier, Gr$backslash$ezes, and Baumard (2020). arXiv preprint arXiv:2202.08674 (2022)."},{"key":"e_1_2_1_160_1","doi-asserted-by":"publisher","DOI":"10.1145\/3338283"},{"key":"e_1_2_1_161_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445939"},{"key":"e_1_2_1_162_1","volume-title":"Physiognomic artificial intelligence. Available at SSRN 3927300","author":"Stark Luke","year":"2021","unstructured":"Luke Stark and Jevan Hutson. 2021. Physiognomic artificial intelligence. Available at SSRN 3927300 (2021)."},{"key":"e_1_2_1_163_1","first-page":"8","article-title":"Emotional labor since: The managed heart","volume":"561","author":"Steinberg Ronnie J","year":"1999","unstructured":"Ronnie J Steinberg and Deborah M Figart. 1999. Emotional labor since: The managed heart. The Annals of the American Academy of Political and Social Science, Vol. 561, 1 (1999), 8--26.","journal-title":"The Annals of the American Academy of Political and Social Science"},{"key":"e_1_2_1_164_1","doi-asserted-by":"publisher","DOI":"10.1177\/017084069701800201"},{"key":"e_1_2_1_165_1","unstructured":"Gavin Tay and Bern Elliot. 2019. Maverick* Research: Emotion AI Will Become You Without Your Knowledge. https:\/\/www.gartner.com\/document\/3975557?ref=gfeed"},{"key":"e_1_2_1_166_1","unstructured":"Gavin Tay Annette Zimmerman and Bern Elliot. 2021. Maverick* Research: Emotional Wellness Will Rescue Your Organization and Distributed Workforce. https:\/\/www.gartner.com\/document\/4000627?ref=solrAll&refval=286373907"},{"key":"e_1_2_1_167_1","doi-asserted-by":"publisher","DOI":"10.1145\/1940761.1940772"},{"key":"e_1_2_1_169_1","volume-title":"Hype Cycle for Sensing Technologies and Applications","author":"Verma Anushree","year":"2020","unstructured":"Anushree Verma. 2020. Hype Cycle for Sensing Technologies and Applications, 2020. https:\/\/www.gartner.com\/document\/3987226?ref=solrAll&refval=287771061"},{"key":"e_1_2_1_170_1","volume-title":"Privacy as trust: Information privacy for an information age","author":"Waldman Ari Ezra","unstructured":"Ari Ezra Waldman. 2018. Privacy as trust: Information privacy for an information age. Cambridge University Press."},{"key":"e_1_2_1_171_1","volume-title":"Cognitive biases, dark patterns, and the ?privacy paradox'. Current opinion in psychology","author":"Waldman Ari Ezra","year":"2020","unstructured":"Ari Ezra Waldman. 2020. Cognitive biases, dark patterns, and the ?privacy paradox'. Current opinion in psychology, Vol. 31 (2020), 105--109."},{"key":"e_1_2_1_172_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssresearch.2009.03.004"},{"key":"e_1_2_1_173_1","volume-title":"biomarkers, and algorithmic bias: recommendations for precision behavioral health with artificial intelligence. JAMIA open","author":"Walsh Colin G","year":"2020","unstructured":"Colin G Walsh, Beenish Chaudhry, Prerna Dua, Kenneth W Goodman, Bonnie Kaplan, Ramakanth Kavuluru, Anthony Solomonides, and Vignesh Subbian. 2020. Stigma, biomarkers, and algorithmic bias: recommendations for precision behavioral health with artificial intelligence. JAMIA open, Vol. 3, 1 (2020), 9--15."},{"key":"e_1_2_1_174_1","doi-asserted-by":"publisher","DOI":"10.1145\/3386527.3405917"},{"key":"e_1_2_1_175_1","doi-asserted-by":"publisher","DOI":"10.1002\/hrdq.1194"},{"key":"e_1_2_1_176_1","volume-title":"Discriminating systems. AI Now","author":"West Sarah Myers","year":"2019","unstructured":"Sarah Myers West, Meredith Whittaker, and Kate Crawford. 2019. Discriminating systems. AI Now (2019)."},{"key":"e_1_2_1_177_1","volume-title":"Joy Rankin, Emily Rogers, Marcel Salas, et al.","author":"Whittaker Meredith","year":"2019","unstructured":"Meredith Whittaker, Meryl Alper, Cynthia L Bennett, Sara Hendren, Liz Kaziunas, Mara Mills, Meredith Ringel Morris, Joy Rankin, Emily Rogers, Marcel Salas, et al. 2019. Disability, bias, and AI. AI Now Institute (2019)."},{"key":"e_1_2_1_178_1","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3173662"},{"key":"e_1_2_1_179_1","unstructured":"Business Wire. 2022. Global Emotion Detection and Recognition Market (2022 to 2027) - Growing Partnerships and Widening Ecosystems Presents Opportunities - ResearchAndMarkers.com. https:\/\/www.businesswire.com\/news\/home\/20220420005613\/en\/Global-Emotion-Detection-and-Recognition-Market-2022-to-2027--Growing-Partnerships-and-Widening-Ecosystems-Presents-Opportunities--ResearchAndMarkets.com"},{"key":"e_1_2_1_180_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123024.3123080"},{"key":"e_1_2_1_181_1","doi-asserted-by":"publisher","DOI":"10.1145\/3064663.3064682"},{"key":"e_1_2_1_182_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2019.02776"},{"key":"e_1_2_1_183_1","volume-title":"Mixing qualitative and quantitative research in developmental science: Uses and methodological choices. Developmental psychology","author":"Yoshikawa Hirokazu","year":"2008","unstructured":"Hirokazu Yoshikawa, Thomas S Weisner, Ariel Kalil, and Niobe Way. 2008. Mixing qualitative and quantitative research in developmental science: Uses and methodological choices. Developmental psychology, Vol. 44, 2 (2008), 344."},{"key":"e_1_2_1_184_1","unstructured":"Paul Thomas Young. 1961. Motivation and emotion: A survey of the determinants of human and animal activity. (1961)."},{"key":"e_1_2_1_185_1","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3501866"},{"key":"e_1_2_1_186_1","volume-title":"Workplace Surveillance Is Becoming the New Normal for US Workers","author":"Zickuhr Kathryn","year":"2021","unstructured":"Kathryn Zickuhr. 2021. Workplace Surveillance Is Becoming the New Normal for US Workers. Washington Center for Equitable Growth. https:\/\/equitablegrowth. org\/research-paper\/workplace-surveillance-is-becomingthe-new-normal-for-us-workers\/. Institute for Research on Labor and Employment University of California, Berkeley, Vol. 2521 (2021), 94720--5555."},{"key":"e_1_2_1_187_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sheji.2017.08.003"},{"key":"e_1_2_1_188_1","doi-asserted-by":"publisher","DOI":"10.1145\/3449151"}],"container-title":["Proceedings of the ACM on Human-Computer Interaction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3579600","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3579600","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3579600","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:48:43Z","timestamp":1750182523000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3579600"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,14]]},"references-count":187,"journal-issue":{"issue":"CSCW1","published-print":{"date-parts":[[2023,4,14]]}},"alternative-id":["10.1145\/3579600"],"URL":"https:\/\/doi.org\/10.1145\/3579600","relation":{},"ISSN":["2573-0142"],"issn-type":[{"value":"2573-0142","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,14]]},"assertion":[{"value":"2023-04-16","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}