{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T22:18:27Z","timestamp":1776118707175,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":123,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T00:00:00Z","timestamp":1750636800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2236674"],"award-info":[{"award-number":["2236674"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,6,23]]},"DOI":"10.1145\/3715275.3732034","type":"proceedings-article","created":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T17:03:13Z","timestamp":1750698193000},"page":"498-510","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Distinguishing Emotion AI: Factors Shaping Perceptions Including Input Data, Emotion Data Recipients, and Identity"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8085-2355","authenticated-orcid":false,"given":"Alexis Shore","family":"Ingber","sequence":"first","affiliation":[{"name":"University of Michigan, Ann Arbor, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6552-4540","authenticated-orcid":false,"given":"Oliver L.","family":"Haimson","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arbor, 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, USA"}]}],"member":"320","published-online":{"date-parts":[[2025,6,23]]},"reference":[{"key":"e_1_3_3_2_2_2","unstructured":"Lavisha Aggarwal and Shruti Bhargava. 2023. Fairness in AI Systems: Mitigating gender bias from language-vision models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2305.01888 (2023)."},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9982252"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"crossref","unstructured":"Maram\u00a0Fahaad Almufareh Sumaira Kausar Mamoona Humayun and Samabia Tehsin. 2024. A conceptual model for inclusive technology: advancing disability inclusion through artificial intelligence. Journal of Disability Research 3 1 (2024) 20230060.","DOI":"10.57197\/JDR-2023-0060"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376680"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706598.3713501"},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMSNETS56262.2023.10041308"},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642180"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"crossref","unstructured":"Edmond Awad Loukas Balafoutas Li Chen Edwin Ip and Joe Vecci. 2023. Artificial intelligence and debiasing in hiring: Impact on applicant quality and gender diversity. Available at SSRN (2023).","DOI":"10.2139\/ssrn.4626059"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"crossref","unstructured":"Areej Babiker Sameha Alshakhsi Dena Al-Thani Christian Montag and Raian Ali. 2024. Attitude Towards AI: Potential Influence of Conspiracy Belief XAI Experience and Locus of Control. International Journal of Human\u2013Computer Interaction (2024) 1\u201313.","DOI":"10.1080\/10447318.2024.2401249"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"crossref","unstructured":"Lisa\u00a0Feldman Barrett Ralph Adolphs Stacy Marsella Aleix\u00a0M Martinez and Seth\u00a0D Pollak. 2019. Emotional expressions reconsidered: Challenges to inferring emotion from human facial movements. Psychological science in the public interest 20 1 (2019) 1\u201368.","DOI":"10.1177\/1529100619832930"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACIIW59127.2023.10388160"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"publisher","unstructured":"David Bethge Luis\u00a0Falconeri Coelho Thomas Kosch Satiyabooshan Murugaboopathy Ulrich\u00a0von Zadow Albrecht Schmidt and Tobias Grosse-Puppendahl. 2023. Technical Design Space Analysis for Unobtrusive Driver Emotion Assessment Using Multi-Domain Context. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6 4 Article 159 (Jan. 2023) 30\u00a0pages. 10.1145\/3569466","DOI":"10.1145\/3569466"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"crossref","unstructured":"Carmen Bisogni Lucia Cimmino Michele Nappi Toni Pannese and Chiara Pero. 2024. Walk as you feel: Privacy preserving emotion recognition from gait patterns. Engineering Applications of Artificial Intelligence 128 (2024) 107565.","DOI":"10.1016\/j.engappai.2023.107565"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"crossref","unstructured":"Karen\u00a0L Boyd and Nazanin Andalibi. 2023. Automated emotion recognition in the workplace: How proposed technologies reveal potential futures of work. Proceedings of the ACM on human-computer interaction 7 CSCW1 (2023) 1\u201337.","DOI":"10.1145\/3579528"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1215\/9780822375302"},{"key":"e_1_3_3_2_17_2","unstructured":"M Calice L Bao T Newman D Scheufele D Brossard and M Xenos. 2022. US Public attitudes on artificial intelligence. OSF Home (2022)."},{"key":"e_1_3_3_2_18_2","unstructured":"California State Legislature. 2024. California Assembly Bill No. 1008 (2023\u20132024). https:\/\/leginfo.legislature.ca.gov\/faces\/billTextClient.xhtml?bill_id=202320240AB1008 Accessed: 2024-10-25."},{"key":"e_1_3_3_2_19_2","volume-title":"SOUPs Proceedings","author":"Carreira Carolina","year":"2024","unstructured":"Carolina Carreira, Cody Berger, Khushi Shah, Samridhi Agarwal, Yashasvi Thakur, McKenna McCall, Nicolas Christin, and Lorrie\u00a0Faith Cranor. 2024. Who\u2019s Listening? Analyzing Privacy Preferences in Multi-User Smart Personal Assistants Settings. In SOUPs Proceedings."},{"key":"e_1_3_3_2_20_2","unstructured":"Si Chen Jason Situ Haocong Cheng Suzy Su Desiree Kirst Lu Ming Qi Wang Lawrence Angrave and Yun Huang. 2024. Inclusive Emotion Technologies: Addressing the Needs of d\/Deaf and Hard of Hearing Learners in Video-Based Learning. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2410.00199 (2024)."},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.23919\/APSIPAASC55919.2022.9980183"},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"crossref","unstructured":"Xi Chen Pengxin Zheng and Jian Mou. 2024. Understanding Chinese Internet users\u2019 information sensitivity in big data and artificial intelligence era. Policy & Internet (2024).","DOI":"10.1002\/poi3.419"},{"key":"e_1_3_3_2_23_2","unstructured":"Colorado General Assembly. 2024. Concerning the Implementation of an Automated Traffic Enforcement System. https:\/\/leg.colorado.gov\/bills\/sb24-205 Accessed: 2024-09-24."},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"crossref","unstructured":"Shanley Corvite Kat Roemmich Tillie\u00a0Ilana Rosenberg and Nazanin Andalibi. 2023. Data Subjects\u2019 Perspectives on Emotion Artificial Intelligence Use in the Workplace: A Relational Ethics Lens. Proceedings of the ACM on Human-Computer Interaction 7 CSCW1 (2023) 1\u201338.","DOI":"10.1145\/3579600"},{"key":"e_1_3_3_2_25_2","doi-asserted-by":"crossref","unstructured":"Matthew Crain. 2018. The limits of transparency: Data brokers and commodification. New Media & Society 20 1 (2018) 88\u2013104.","DOI":"10.1177\/1461444816657096"},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.4324\/9781003502791-18"},{"key":"e_1_3_3_2_27_2","unstructured":"Michelle Faverio and Alec Tyson. 2023. What the Data Says About Americans\u2019 Views of Artificial Intelligence. https:\/\/www.pewresearch.org\/short-reads\/2023\/11\/21\/what-the-data-says-about-americans-views-of-artificial-intelligence\/. Pew Research Center accessed: 2024-12-13."},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACII52823.2021.9597433"},{"key":"e_1_3_3_2_29_2","doi-asserted-by":"crossref","unstructured":"Yuanyuan Feng Brad Stenger and Shikun Zhang. 2024. Contextual Acceptance of COVID-19 Mitigation Mobile Apps in the United States: Mixed Methods Survey Study on Postpandemic Data Privacy. Journal of Medical Internet Research 26 (2024) e57309.","DOI":"10.2196\/57309"},{"key":"e_1_3_3_2_30_2","unstructured":"Michael Fertik. 2012. Your future employer is watching you online. You should be too. Harvard Business Review. Retrieved from http:\/\/blogs. hbr. org\/2012\/04\/your-future-employer-is-watchi (2012)."},{"key":"e_1_3_3_2_31_2","doi-asserted-by":"crossref","unstructured":"Alisa Frik Julia Bernd and Serge Egelman. 2023. A Model of Contextual Factors Affecting Older Adults\u2019 Information-Sharing Decisions in the US. ACM Transactions on Computer-Human Interaction 30 1 (2023) 1\u201348.","DOI":"10.1145\/3557888"},{"key":"e_1_3_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.1145\/3593013.3593989"},{"key":"e_1_3_3_2_33_2","unstructured":"Timnit Gebru. 2019. Oxford handbook on AI ethics book chapter on race and gender. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1908.06165 (2019)."},{"key":"e_1_3_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-24801-6_20"},{"key":"e_1_3_3_2_35_2","doi-asserted-by":"publisher","DOI":"10.1145\/3630106.3658933"},{"key":"e_1_3_3_2_36_2","volume-title":"The Presentation of Self in Everyday Life","author":"Goffman Erving","year":"1959","unstructured":"Erving Goffman. 1959. The Presentation of Self in Everyday Life. Anchor Books, New York."},{"key":"e_1_3_3_2_37_2","doi-asserted-by":"crossref","unstructured":"Simone Grassini. 2023. Development and validation of the AI attitude scale (AIAS-4): a brief measure of general attitude toward artificial intelligence. Frontiers in psychology 14 (2023) 1191628.","DOI":"10.3389\/fpsyg.2023.1191628"},{"key":"e_1_3_3_2_38_2","doi-asserted-by":"publisher","DOI":"10.1145\/3605655.3605669"},{"key":"e_1_3_3_2_39_2","doi-asserted-by":"crossref","unstructured":"Gabriel Grill and Nazanin Andalibi. 2022. Attitudes and folk theories of data subjects on transparency and accuracy in emotion recognition. Proceedings of the ACM on Human-Computer Interaction 6 CSCW1 (2022) 1\u201335.","DOI":"10.1145\/3512925"},{"key":"e_1_3_3_2_40_2","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3173582"},{"key":"e_1_3_3_2_41_2","doi-asserted-by":"publisher","DOI":"10.4159\/9780674985124"},{"key":"e_1_3_3_2_42_2","doi-asserted-by":"publisher","unstructured":"Fabio Hellmann Silvan Mertes Mohamed Benouis Alexander Hustinx Tzung-Chien Hsieh Cristina Conati Peter Krawitz and Elisabeth Andr\u00e9. 2024. GANonymization: A GAN-based Face Anonymization Framework for Preserving Emotional Expressions. ACM Trans. Multimedia Comput. Commun. Appl. (Jan. 2024). 10.1145\/3641107Just Accepted.","DOI":"10.1145\/3641107"},{"key":"e_1_3_3_2_43_2","doi-asserted-by":"crossref","unstructured":"Mar Hicks. 2019. Hacking the Cis-tem. IEEE Annals of the History of Computing 41 1 (2019) 20\u201333.","DOI":"10.1109\/MAHC.2019.2897667"},{"key":"e_1_3_3_2_44_2","doi-asserted-by":"crossref","unstructured":"Anna\u00a0Lauren Hoffmann. 2021. Terms of inclusion: Data discourse violence. New Media & Society 23 12 (2021) 3539\u20133556.","DOI":"10.1177\/1461444820958725"},{"key":"e_1_3_3_2_45_2","doi-asserted-by":"crossref","unstructured":"Michael\u00a0C Horowitz and Lauren Kahn. 2021. What influences attitudes about artificial intelligence adoption: Evidence from US local officials. PLoS One 16 10 (2021) e0257732.","DOI":"10.1371\/journal.pone.0257732"},{"key":"e_1_3_3_2_46_2","doi-asserted-by":"crossref","unstructured":"Alexis\u00a0Shore Ingber. 2024. Protecting Private Communications through Law and Policy: The Case of the Screenshot Feature. Communication Law and Policy 29 1-2 (2024) 1\u201323.","DOI":"10.1080\/10811680.2024.2384356"},{"key":"e_1_3_3_2_47_2","doi-asserted-by":"publisher","DOI":"10.1145\/3576915.3623164"},{"key":"e_1_3_3_2_48_2","doi-asserted-by":"publisher","DOI":"10.1145\/3593013.3594011"},{"key":"e_1_3_3_2_49_2","doi-asserted-by":"crossref","unstructured":"Eiman Kanjo Eman\u00a0MG Younis and Chee\u00a0Siang Ang. 2019. Deep learning analysis of mobile physiological environmental and location sensor data for emotion detection. Information Fusion 49 (2019) 46\u201356.","DOI":"10.1016\/j.inffus.2018.09.001"},{"key":"e_1_3_3_2_50_2","doi-asserted-by":"crossref","unstructured":"Nadia Karizat Alexandra\u00a0H Vinson Shobita Parthasarathy and Nazanin Andalibi. 2024. Patent Applications as Glimpses into the Sociotechnical Imaginary: Ethical Speculation on the Imagined Futures of Emotion AI for Mental Health Monitoring and Detection. Proceedings of the ACM on Human-Computer Interaction 8 CSCW1 (2024) 1\u201343.","DOI":"10.1145\/3637383"},{"key":"e_1_3_3_2_51_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICOEI48184.2020.9142879"},{"key":"e_1_3_3_2_52_2","unstructured":"Sonia\u00a0K Katyal and Jessica\u00a0Y Jung. 2021. The gender panopticon: AI gender and design Justice. UCLA L. Rev. 68 (2021) 692."},{"key":"e_1_3_3_2_53_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517453"},{"key":"e_1_3_3_2_54_2","first-page":"579","volume-title":"Nineteenth Symposium on Usable Privacy and Security (SOUPS 2023)","author":"Kelley Patrick\u00a0Gage","year":"2023","unstructured":"Patrick\u00a0Gage Kelley, Celestina Cornejo, Lisa Hayes, Ellie\u00a0Shuo Jin, Aaron Sedley, Kurt Thomas, Yongwei Yang, and Allison Woodruff. 2023. \" There will be less privacy, of course\": How and why people in 10 countries expect { AI} will affect privacy in the future. In Nineteenth Symposium on Usable Privacy and Security (SOUPS 2023). 579\u2013603."},{"key":"e_1_3_3_2_55_2","doi-asserted-by":"crossref","unstructured":"Os Keyes. 2018. The misgendering machines: Trans\/HCI implications of automatic gender recognition. Proceedings of the ACM on human-computer interaction 2 CSCW (2018) 1\u201322.","DOI":"10.1145\/3274357"},{"key":"e_1_3_3_2_56_2","unstructured":"Soojong Kim Joomi Lee and Poong Oh. 2024. Questioning Artificial Intelligence: How Racial Identity Shapes the Perceptions of Algorithmic Bias. International journal of communication (Online) 18 (2024) 677\u2013700."},{"key":"e_1_3_3_2_57_2","doi-asserted-by":"crossref","unstructured":"Anastasia Kozyreva Philipp Lorenz-Spreen Ralph Hertwig Stephan Lewandowsky and Stefan\u00a0M Herzog. 2021. Public attitudes towards algorithmic personalization and use of personal data online: Evidence from Germany Great Britain and the United States. Humanities and Social Sciences Communications 8 1 (2021) 1\u201311.","DOI":"10.1057\/s41599-021-00787-w"},{"key":"e_1_3_3_2_58_2","doi-asserted-by":"crossref","unstructured":"Sheetal Kusal Shruti Patil Ketan Kotecha Rajanikanth Aluvalu and Vijayakumar Varadarajan. 2021. AI based emotion detection for textual big data: Techniques and contribution. Big Data and Cognitive Computing 5 3 (2021) 43.","DOI":"10.3390\/bdcc5030043"},{"key":"e_1_3_3_2_59_2","doi-asserted-by":"publisher","DOI":"10.1109\/IPSN54338.2022.00026"},{"key":"e_1_3_3_2_60_2","unstructured":"Siddique Latif Hafiz\u00a0Shehbaz Ali Muhammad Usama Rajib Rana Bj\u00f6rn Schuller and Junaid Qadir. 2022. Ai-based emotion recognition: Promise peril and prescriptions for prosocial path. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2211.07290 (2022)."},{"key":"e_1_3_3_2_61_2","unstructured":"Nicol\u00a0Turner Lee and Caitlin Chin. 2022. Police surveillance and facial recognition: Why data privacy is imperative for communities of color. The Brookings Institution. Eri\u015fim adresi: https:\/\/www. brookings. edu\/research\/police-surveillance-and-facial-recognition-why-data-privacy-is-an-imperative-for-communities-of-color (2022)."},{"key":"e_1_3_3_2_62_2","unstructured":"Karen\u00a0EC Levy. 2014. Intimate surveillance. Idaho L. Rev. 51 (2014) 679."},{"key":"e_1_3_3_2_63_2","volume-title":"The ascent of affect: Genealogy and critique","author":"Leys Ruth","year":"2019","unstructured":"Ruth Leys. 2019. The ascent of affect: Genealogy and critique. University of Chicago Press."},{"key":"e_1_3_3_2_64_2","doi-asserted-by":"crossref","unstructured":"Bingjie Liu Lewen Wei Mu Wu and Tianyi Luo. 2023. Speech production under uncertainty: how do job applicants experience and communicate with an AI interviewer? Journal of Computer-Mediated Communication 28 4 (2023) zmad028.","DOI":"10.1093\/jcmc\/zmad028"},{"key":"e_1_3_3_2_65_2","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI44817.2019.9002972"},{"key":"e_1_3_3_2_66_2","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI50451.2021.9660129"},{"key":"e_1_3_3_2_67_2","doi-asserted-by":"crossref","unstructured":"Peter Mantello Manh-Tung Ho Minh-Hoang Nguyen and Quan-Hoang Vuong. 2023. Bosses without a heart: socio-demographic and cross-cultural determinants of attitude toward Emotional AI in the workplace. AI & Society 38 1 (2023) 97\u2013119.","DOI":"10.1007\/s00146-021-01290-1"},{"key":"e_1_3_3_2_68_2","doi-asserted-by":"crossref","unstructured":"Peter\u00a0A Mantello Nader Ghotbi Manh-Tung Ho and Fuminobu Mizutani. 2024. Gauging public opinion of AI and emotionalized AI in healthcare: findings from a nationwide survey in Japan. AI & Society (2024) 1\u201315.","DOI":"10.1007\/s00146-024-02126-4"},{"key":"e_1_3_3_2_69_2","unstructured":"MarketsandMarkets. 2024. Emotion Detection and Recognition Market by Component Technology Application and Region - Global Forecast to 2024. https:\/\/www.marketsandmarkets.com\/Market-Reports\/emotion-detection-recognition-market-23376176.html Accessed: 2024-09-05."},{"key":"e_1_3_3_2_70_2","unstructured":"Edward Markey. 2024. AI Civil Rights Act. https:\/\/www.markey.senate.gov\/view\/senator-markey-hosts-press-conference-to-introduce-his-ai-civil-rights-act Introduced in the U.S. Senate to address algorithmic discrimination.."},{"key":"e_1_3_3_2_71_2","doi-asserted-by":"crossref","unstructured":"Ereni Markos Lauren\u00a0I Labrecque and George\u00a0R Milne. 2018. A new information lens: The self-concept and exchange context as a means to understand information sensitivity of anonymous and personal identifying information. Journal of Interactive Marketing 42 1 (2018) 46\u201362.","DOI":"10.1016\/j.intmar.2018.01.004"},{"key":"e_1_3_3_2_72_2","doi-asserted-by":"crossref","unstructured":"Marijn Martens Ralf De\u00a0Wolf and Lieven De\u00a0Marez. 2024. Datafication and algorithmization of education: How do parents and students evaluate the appropriateness of learning analytics? Education and Information Technologies 29 7 (2024) 8151\u20138177.","DOI":"10.1007\/s10639-023-12124-6"},{"key":"e_1_3_3_2_73_2","doi-asserted-by":"publisher","DOI":"10.1145\/3630106.3658907"},{"key":"e_1_3_3_2_74_2","doi-asserted-by":"crossref","unstructured":"Carla\u00a0A Mazefsky and Susan\u00a0W White. 2014. Emotion regulation: Concepts & practice in autism spectrum disorder. Child and Adolescent Psychiatric Clinics 23 1 (2014) 15\u201324.","DOI":"10.1016\/j.chc.2013.07.002"},{"key":"e_1_3_3_2_75_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376167"},{"key":"e_1_3_3_2_76_2","doi-asserted-by":"crossref","unstructured":"Andrew McStay. 2016. Empathic media and advertising: Industry policy legal and citizen perspectives (the case for intimacy). Big data & society 3 2 (2016) 2053951716666868.","DOI":"10.1177\/2053951716666868"},{"key":"e_1_3_3_2_77_2","volume-title":"Automating empathy: Decoding technologies that gauge intimate life","author":"McStay Andrew","year":"2024","unstructured":"Andrew McStay. 2024. Automating empathy: Decoding technologies that gauge intimate life. Oxford University Press."},{"key":"e_1_3_3_2_78_2","doi-asserted-by":"crossref","unstructured":"Zion Mengesha Courtney Heldreth Michal Lahav Juliana Sublewski and Elyse Tuennerman. 2021. \u201cI don\u2019t think these devices are very culturally sensitive.\u201d\u2014Impact of automated speech recognition errors on African Americans. Frontiers in Artificial Intelligence 4 (2021) 725911.","DOI":"10.3389\/frai.2021.725911"},{"key":"e_1_3_3_2_79_2","doi-asserted-by":"crossref","unstructured":"George\u00a0R Milne George Pettinico Fatima\u00a0M Hajjat and Ereni Markos. 2017. Information sensitivity typology: Mapping the degree and type of risk consumers perceive in personal data sharing. Journal of Consumer Affairs 51 1 (2017) 133\u2013161.","DOI":"10.1111\/joca.12111"},{"key":"e_1_3_3_2_80_2","doi-asserted-by":"crossref","unstructured":"Scott Monteith Tasha Glenn John Geddes Peter\u00a0C Whybrow and Michael Bauer. 2022. Commercial use of emotion artificial intelligence (AI): implications for psychiatry. Current Psychiatry Reports 24 3 (2022) 203\u2013211.","DOI":"10.1007\/s11920-022-01330-7"},{"key":"e_1_3_3_2_81_2","doi-asserted-by":"crossref","unstructured":"Jeff Nagy. 2024. Autism and the making of emotion AI: Disability as resource for surveillance capitalism. New media & society 26 7 (2024) 3989\u20134007.","DOI":"10.1177\/14614448221109550"},{"key":"e_1_3_3_2_82_2","doi-asserted-by":"crossref","unstructured":"Helen Nissenbaum. 2009. Privacy in Context: Technology Policy and the Integrity of Social Life.","DOI":"10.1515\/9780804772891"},{"key":"e_1_3_3_2_83_2","doi-asserted-by":"crossref","unstructured":"Ekaterina Novozhilova Kate Mays and James\u00a0E Katz. 2024. Looking towards an automated future: US attitudes towards future artificial intelligence instantiations and their effect. Humanities and Social Sciences Communications 11 1 (2024) 1\u201311.","DOI":"10.1057\/s41599-024-02625-1"},{"key":"e_1_3_3_2_84_2","doi-asserted-by":"publisher","unstructured":"Hannah Overbye-Thompson Kristy\u00a0A. Hamilton and Dana Mastro. 2024. Reinvention mediates impacts of skin tone bias in algorithms: implications for technology diffusion. Journal of Computer-Mediated Communication 29 5 (2024) zmae016. 10.1093\/jcmc\/zmae016","DOI":"10.1093\/jcmc\/zmae016"},{"key":"e_1_3_3_2_85_2","doi-asserted-by":"publisher","unstructured":"Eyal Peer Laura Brandimarte Sonam Samat and Alessandro Acquisti. 2017. Beyond the Turk: Alternative platforms for crowdsourcing behavioral research. Journal of Experimental Social Psychology 70 (2017) 153\u2013163. 10.1016\/j.jesp.2017.01.006","DOI":"10.1016\/j.jesp.2017.01.006"},{"key":"e_1_3_3_2_86_2","doi-asserted-by":"publisher","DOI":"10.1145\/3605098.3635935"},{"key":"e_1_3_3_2_87_2","doi-asserted-by":"publisher","DOI":"10.5555\/265013"},{"key":"e_1_3_3_2_88_2","doi-asserted-by":"crossref","unstructured":"Gabriele Pizzi Virginia Vannucci Yupal Shukla and Gaetano Aiello. 2022. Privacy concerns and justice perceptions with the disclosure of biometric versus behavioral data for personalized pricing tell me who you are I\u2019ll tell you how much you pay. Consumers\u2019 fairness and privacy perceptions with personalized pricing. Journal of Business Research 148 (2022) 420\u2013432.","DOI":"10.1016\/j.jbusres.2022.04.072"},{"key":"e_1_3_3_2_89_2","doi-asserted-by":"crossref","unstructured":"Cassidy Pyle Kat Roemmich and Nazanin Andalibi. 2024. US Job-Seekers\u2019 Organizational Justice Perceptions of Emotion AI-Enabled Asynchronous Interviews. Proceedings of the ACM on Human-Computer Interaction (2024).","DOI":"10.1145\/3686993"},{"key":"e_1_3_3_2_90_2","first-page":"375","volume-title":"International Conference on Web Information Systems Engineering","author":"Rahman Mohammad\u00a0Mominur","year":"2024","unstructured":"Mohammad\u00a0Mominur Rahman, Areej Babiker, and Raian Ali. 2024. Motivation, Concerns, and Attitudes Towards AI: Differences by Gender, Age, and Culture. In International Conference on Web Information Systems Engineering. Springer, 375\u2013391."},{"key":"e_1_3_3_2_91_2","doi-asserted-by":"crossref","unstructured":"Liran Razinsky. 2023. Better than they know themselves? Algorithms and subjectivity. Subjectivity 30 4 (2023) 394\u2013416.","DOI":"10.1057\/s41286-023-00174-7"},{"key":"e_1_3_3_2_92_2","unstructured":"Lauren Rhue. 2019. Understanding the hidden bias in emotion-reading AIs."},{"key":"e_1_3_3_2_93_2","volume-title":"Intellectual privacy: Rethinking civil liberties in the digital age","author":"Richards Neil","year":"2015","unstructured":"Neil Richards. 2015. Intellectual privacy: Rethinking civil liberties in the digital age. Oxford University Press, USA."},{"key":"e_1_3_3_2_94_2","doi-asserted-by":"crossref","unstructured":"Cami Rinc\u00f3n Os Keyes and Corinne Cath. 2021. Speaking from experience: Trans\/non-binary requirements for voice-activated AI. Proceedings of the ACM on Human-Computer Interaction 5 CSCW1 (2021) 1\u201327.","DOI":"10.1145\/3449206"},{"key":"e_1_3_3_2_95_2","doi-asserted-by":"crossref","unstructured":"Kat Roemmich and Nazanin Andalibi. 2021. Data subjects\u2019 conceptualizations of and attitudes toward automatic emotion recognition-enabled wellbeing interventions on social media. Proceedings of the ACM on Human-Computer Interaction 5 CSCW2 (2021) 1\u201334.","DOI":"10.1145\/3476049"},{"key":"e_1_3_3_2_96_2","doi-asserted-by":"crossref","unstructured":"Kat Roemmich Shanley Corvite Cassidy Pyle Nadia Karizat and Nazanin Andalibi. 2024. Emotion AI Use in US Mental Healthcare: Potentially Unjust and Techno-Solutionist. Proceedings of the ACM on Human-Computer Interaction 8 CSCW1 (2024) 1\u201346.","DOI":"10.1145\/3637324"},{"key":"e_1_3_3_2_97_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580950"},{"key":"e_1_3_3_2_98_2","doi-asserted-by":"crossref","unstructured":"Somaiieh Rokhsaritalemi Abolghasem Sadeghi-Niaraki and Soo-Mi Choi. 2023. Exploring emotion analysis using artificial intelligence geospatial information systems and extended reality for urban services. IEEE Access (2023).","DOI":"10.1109\/ACCESS.2023.3307639"},{"key":"e_1_3_3_2_99_2","doi-asserted-by":"crossref","unstructured":"Javier S\u00e1nchez-Monedero and Lina Dencik. 2022. The politics of deceptive borders:\u2018biomarkers of deceit\u2019and the case of iBorderCtrl. Information Communication & Society 25 3 (2022) 413\u2013430.","DOI":"10.1080\/1369118X.2020.1792530"},{"key":"e_1_3_3_2_100_2","doi-asserted-by":"publisher","DOI":"10.1145\/3643691.3648583"},{"key":"e_1_3_3_2_101_2","doi-asserted-by":"crossref","unstructured":"Morgan\u00a0Klaus Scheuerman Jacob\u00a0M Paul and Jed\u00a0R Brubaker. 2019. How computers see gender: An evaluation of gender classification in commercial facial analysis services. Proceedings of the ACM on Human-Computer Interaction 3 CSCW (2019) 1\u201333.","DOI":"10.1145\/3359246"},{"key":"e_1_3_3_2_102_2","doi-asserted-by":"crossref","unstructured":"Sovantharith Seng Mahdi\u00a0Nasrullah Al-Ameen and Matthew Wright. 2021. A first look into users\u2019 perceptions of facial recognition in the physical world. Computers & Security 105 (2021) 102227.","DOI":"10.1016\/j.cose.2021.102227"},{"key":"e_1_3_3_2_103_2","doi-asserted-by":"publisher","DOI":"10.4324\/9781315883700-5"},{"key":"e_1_3_3_2_104_2","doi-asserted-by":"crossref","unstructured":"Jama Shelton Kel Kroehle Emilie\u00a0K Clark Kristie Seelman and SJ Dodd. 2021. Digital technologies and the violent surveillance of nonbinary gender. Journal of gender-based violence 5 3 (2021) 517\u2013529.","DOI":"10.1332\/239868021X16153783053180"},{"key":"e_1_3_3_2_105_2","doi-asserted-by":"crossref","unstructured":"Emma Sheppard. 2018. Using pain living with pain. Feminist Review 120 1 (2018) 54\u201369.","DOI":"10.1057\/s41305-018-0142-7"},{"key":"e_1_3_3_2_106_2","doi-asserted-by":"crossref","unstructured":"Alexis Shore and James\u00a0J Cummings. 2023. An Exploratory Analysis of Interface Features Influencing Mobile Location Data Disclosure. International Journal of Human\u2013Computer Interaction 39 19 (2023) 3758\u20133773.","DOI":"10.1080\/10447318.2022.2104428"},{"key":"e_1_3_3_2_107_2","doi-asserted-by":"crossref","unstructured":"Luke Stark. 2016. The emotional context of information privacy. The Information Society 32 1 (2016) 14\u201327.","DOI":"10.1080\/01972243.2015.1107167"},{"key":"e_1_3_3_2_108_2","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445939"},{"key":"e_1_3_3_2_109_2","doi-asserted-by":"crossref","unstructured":"Jan-Philipp Stein Tanja Messingschlager Timo Gnambs Fabian Hutmacher and Markus Appel. 2024. Attitudes towards AI: measurement and associations with personality. Scientific Reports 14 1 (2024) 2909.","DOI":"10.1038\/s41598-024-53335-2"},{"key":"e_1_3_3_2_110_2","doi-asserted-by":"crossref","unstructured":"Boyuan Sun Qiang Ma Shanfeng Zhang Kebin Liu and Yunhao Liu. 2017. iSelf: Towards cold-start emotion labeling using transfer learning with smartphones. ACM Transactions on Sensor Networks (TOSN) 13 4 (2017) 1\u201322.","DOI":"10.1145\/3121049"},{"key":"e_1_3_3_2_111_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581181"},{"key":"e_1_3_3_2_112_2","doi-asserted-by":"crossref","unstructured":"Eddie\u00a0L Ungless Bj\u00f6rn Ross and Anne Lauscher. 2023. Stereotypes and smut: The (mis) representation of non-cisgender identities by text-to-image models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2305.17072 (2023).","DOI":"10.18653\/v1\/2023.findings-acl.502"},{"key":"e_1_3_3_2_113_2","unstructured":"European Union. 2024. Artificial Intelligence Act. https:\/\/artificialintelligenceact.eu\/recital\/44\/ Accessed: 2024-09-05."},{"key":"e_1_3_3_2_114_2","unstructured":"Sandra Wachter. 2021. \u2019Every smile you fake\u2019 \u2014 an AI emotion-recognition system can assess how \u2019happy\u2019 China\u2019s workers are in the office. https:\/\/cyber.harvard.edu\/story\/2021-06\/every-smile-you-fake-ai-emotion-recognition-system-can-assess-how-happy-chinas Accessed: 2025-01-13."},{"key":"e_1_3_3_2_115_2","doi-asserted-by":"crossref","unstructured":"Yvonne Wechuli. 2024. Passing as Able-Bodyminded Disabled or Supercrip: Rethinking Impression Management Strategies Through a Disability Lens. Symbolic Interaction (2024).","DOI":"10.1002\/symb.711"},{"key":"e_1_3_3_2_116_2","unstructured":"Meredith Whittaker Meryl Alper Cynthia\u00a0L Bennett Sara Hendren Liz Kaziunas Mara Mills Meredith\u00a0Ringel Morris Joy Rankin Emily Rogers Marcel Salas et\u00a0al. 2019. Disability bias and AI. AI Now Institute 8 (2019)."},{"key":"e_1_3_3_2_117_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581040"},{"key":"e_1_3_3_2_118_2","doi-asserted-by":"crossref","unstructured":"Jakob Wirth Christian Maier Sven Laumer and Tim Weitzel. 2019. Perceived information sensitivity and interdependent privacy protection: a quantitative study. Electronic Markets 29 (2019) 359\u2013378.","DOI":"10.1007\/s12525-019-00335-0"},{"key":"e_1_3_3_2_119_2","doi-asserted-by":"crossref","unstructured":"Philip\u00a0Fei Wu Jessica Vitak and Michael\u00a0T Zimmer. 2020. A contextual approach to information privacy research. Journal of the Association for Information Science and Technology 71 4 (2020) 485\u2013490.","DOI":"10.1002\/asi.24232"},{"key":"e_1_3_3_2_120_2","doi-asserted-by":"publisher","DOI":"10.1109\/UEMCON59035.2023.10316128"},{"key":"e_1_3_3_2_121_2","doi-asserted-by":"crossref","unstructured":"Baobao Zhang. 2022. Public opinion toward artificial intelligence.","DOI":"10.31219\/osf.io\/284sm"},{"key":"e_1_3_3_2_122_2","doi-asserted-by":"crossref","unstructured":"Shikun Zhang Yuanyuan Feng Lujo Bauer Lorrie\u00a0Faith Cranor Anupam Das and Norman Sadeh. 2021. \u201cDid you know this camera tracks your mood?\u201d: Understanding Privacy Expectations and Preferences in the Age of Video Analytics. Proceedings on Privacy Enhancing Technologies (2021).","DOI":"10.2478\/popets-2021-0028"},{"key":"e_1_3_3_2_123_2","doi-asserted-by":"crossref","unstructured":"Annuska Zolyomi and Jaime Snyder. 2021. Social-emotional-sensory design map for affective computing informed by neurodivergent experiences. Proceedings of the ACM on Human-Computer Interaction 5 CSCW1 (2021) 1\u201337.","DOI":"10.1145\/3449151"},{"key":"e_1_3_3_2_124_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642210"}],"event":{"name":"FAccT '25: The 2025 ACM Conference on Fairness, Accountability, and Transparency","location":"Athens Greece","acronym":"FAccT '25"},"container-title":["Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3715275.3732034","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3715275.3732034","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T11:15:22Z","timestamp":1750763722000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3715275.3732034"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,23]]},"references-count":123,"alternative-id":["10.1145\/3715275.3732034","10.1145\/3715275"],"URL":"https:\/\/doi.org\/10.1145\/3715275.3732034","relation":{},"subject":[],"published":{"date-parts":[[2025,6,23]]},"assertion":[{"value":"2025-06-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}