{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T07:14:55Z","timestamp":1781334895034,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":48,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,4,19]],"date-time":"2023-04-19T00:00:00Z","timestamp":1681862400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Science and Technology Council of Taiwan","award":["110-2634-F-002 -051 -"],"award-info":[{"award-number":["110-2634-F-002 -051 -"]}]},{"name":"National Science and Technology Council of Taiwan","award":["109-2221-E-003 -010 -MY3"],"award-info":[{"award-number":["109-2221-E-003 -010 -MY3"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,4,19]]},"DOI":"10.1145\/3544548.3580945","type":"proceedings-article","created":{"date-parts":[[2023,4,20]],"date-time":"2023-04-20T04:27:55Z","timestamp":1681964875000},"page":"1-15","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":31,"title":["Contextualizing User Perceptions about Biases for Human-Centered Explainable Artificial Intelligence"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0807-2714","authenticated-orcid":false,"given":"Chien Wen (Tina)","family":"Yuan","sequence":"first","affiliation":[{"name":"D-School, National Taiwan University, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1530-4464","authenticated-orcid":false,"given":"Nanyi","family":"Bi","sequence":"additional","affiliation":[{"name":"Department of Information Management, National Taiwan University, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3689-5910","authenticated-orcid":false,"given":"Ya-Fang","family":"Lin","sequence":"additional","affiliation":[{"name":"Collaboration &amp; Innovation Lab, College of Information Science of Technology, Penn State University, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8904-7902","authenticated-orcid":false,"given":"Yuen-Hsien","family":"Tseng","sequence":"additional","affiliation":[{"name":"Graduate Institute of Library and Information Studies, National Taiwan Normal University, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,4,19]]},"reference":[{"key":"e_1_3_3_3_1_1","doi-asserted-by":"publisher","DOI":"10.2196\/36199"},{"key":"e_1_3_3_3_2_1","volume-title":"Proceedings of the 2018 CHI conference on human factors in computing systems. 1\u201318","author":"Abdul Ashraf","unstructured":"Ashraf Abdul, Jo Vermeulen, Danding Wang, Brian\u00a0Y Lim, and Mohan Kankanhalli. [n. d.]. Trends and trajectories for explainable, accountable and intelligible systems: An hci research agenda. In Proceedings of the 2018 CHI conference on human factors in computing systems. 1\u201318."},{"key":"e_1_3_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2870052"},{"key":"e_1_3_3_3_4_1","volume-title":"Conference on Fairness, Accountability and Transparency. PMLR, 62\u201376","author":"Barabas Chelsea","year":"2018","unstructured":"Chelsea Barabas, Madars Virza, Karthik Dinakar, Joichi Ito, and Jonathan Zittrain. 2018. Interventions over predictions: Reframing the ethical debate for actuarial risk assessment. In Conference on Fairness, Accountability and Transparency. PMLR, 62\u201376."},{"key":"e_1_3_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3334480.3383047"},{"key":"e_1_3_3_3_6_1","volume-title":"Machine learning for audio, image and video analysis: theory and applications","author":"Camastra Francesco","unstructured":"Francesco Camastra and Alessandro Vinciarelli. 2015. Machine learning for audio, image and video analysis: theory and applications. Springer."},{"key":"e_1_3_3_3_7_1","volume-title":"2017 AAAI Fall Symposium Series.","author":"De\u00a0Graaf MA","year":"2017","unstructured":"Maartje\u00a0MA De\u00a0Graaf and Bertram\u00a0F Malle. 2017. How people explain action (and autonomous intelligent systems should too). In 2017 AAAI Fall Symposium Series."},{"key":"e_1_3_3_3_8_1","first-page":"1829","article-title":"The Judicial Demand for Explainable Artificial Intelligence","volume":"119","author":"Deeks Ashley","year":"2019","unstructured":"Ashley Deeks. 2019. The Judicial Demand for Explainable Artificial Intelligence. Columbia Law Review 119, 7 (2019), 1829\u20131850.","journal-title":"Columbia Law Review"},{"key":"e_1_3_3_3_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3301275.3302310"},{"key":"e_1_3_3_3_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2007.102"},{"key":"e_1_3_3_3_11_1","volume-title":"Value-sensitive design. interactions 3, 6","author":"Friedman Batya","year":"1996","unstructured":"Batya Friedman. 1996. Value-sensitive design. interactions 3, 6 (1996), 16\u201323."},{"key":"e_1_3_3_3_12_1","unstructured":"Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer\u00a0Wortman Vaughan Hanna Wallach Hal Daum\u00e9\u00a0III and Kate Crawford. 2018. Datasheets for datasets. arXiv preprint arXiv:1803.09010(2018)."},{"key":"e_1_3_3_3_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376316"},{"key":"e_1_3_3_3_14_1","volume-title":"Explainable AI within the digital transformation and cyber physical systems","author":"Guidotti Riccardo","unstructured":"Riccardo Guidotti, Anna Monreale, Dino Pedreschi, and Fosca Giannotti. 2021. Principles of explainable artificial intelligence. In Explainable AI within the digital transformation and cyber physical systems. Springer, 9\u201331."},{"key":"e_1_3_3_3_15_1","volume-title":"Explainable artificial intelligence (xai)","author":"Gunning David","year":"2017","unstructured":"David Gunning. 2017. Explainable artificial intelligence (xai). Defense Advanced Research Projects Agency (DARPA), nd Web 2, 2(2017)."},{"key":"e_1_3_3_3_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2019.106190"},{"key":"e_1_3_3_3_17_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0088-2"},{"key":"e_1_3_3_3_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11948-020-00241-1"},{"key":"e_1_3_3_3_19_1","volume-title":"Nebraska symposium on motivation","author":"Kelley H","year":"1967","unstructured":"Harold\u00a0H Kelley. 1967. Attribution theory in social psychology.. In Nebraska symposium on motivation. University of Nebraska Press."},{"key":"e_1_3_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2019.01.001"},{"key":"e_1_3_3_3_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376590"},{"key":"e_1_3_3_3_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376727"},{"key":"e_1_3_3_3_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376445"},{"key":"e_1_3_3_3_24_1","unstructured":"Prashan Madumal Tim Miller Liz Sonenberg and Frank Vetere. 2019. A grounded interaction protocol for explainable artificial intelligence. arXiv preprint arXiv:1903.02409(2019)."},{"key":"e_1_3_3_3_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-22868-2_90"},{"key":"e_1_3_3_3_26_1","doi-asserted-by":"publisher","DOI":"10.1080\/10580530.2020.1849465"},{"key":"e_1_3_3_3_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313107"},{"key":"e_1_3_3_3_28_1","volume-title":"Explanation in artificial intelligence: Insights from the social sciences. Artificial intelligence 267","author":"Miller Tim","year":"2019","unstructured":"Tim Miller. 2019. Explanation in artificial intelligence: Insights from the social sciences. Artificial intelligence 267 (2019), 1\u201338."},{"key":"e_1_3_3_3_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287596"},{"key":"e_1_3_3_3_30_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0114-4"},{"key":"e_1_3_3_3_31_1","unstructured":"Joseph\u00a0Happy Okoh. 2022. 10 Impacts of Artificial Intelligence on Our Everyday Life."},{"key":"e_1_3_3_3_32_1","volume-title":"Making AI Infused Products and Services more Legible. Leonardo (Oct","author":"Pilling Franziska","year":"2022","unstructured":"Franziska Pilling, Haider\u00a0Ali Akmal, Joseph Lindley, Adrian Gradinar, and Paul Coulton. 2022. Making AI Infused Products and Services more Legible. Leonardo (Oct 2022), 1\u201311. https:\/\/doi.org\/gq9nf8"},{"key":"e_1_3_3_3_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3514094.3534181"},{"key":"e_1_3_3_3_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"e_1_3_3_3_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397481.3450699"},{"key":"e_1_3_3_3_36_1","unstructured":"Stuart Russell and Peter Norvig. 2002. Artificial intelligence: a modern approach. (2002)."},{"key":"e_1_3_3_3_37_1","unstructured":"Wojciech Samek Thomas Wiegand and Klaus-Robert M\u00fcller. 2017. Explainable artificial intelligence: Understanding visualizing and interpreting deep learning models. arXiv preprint arXiv:1708.08296(2017)."},{"key":"e_1_3_3_3_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287598"},{"key":"e_1_3_3_3_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306618.3314316"},{"key":"e_1_3_3_3_40_1","unstructured":"Harini Suresh and John\u00a0V Guttag. 2019. A framework for understanding unintended consequences of machine learning. arXiv preprint arXiv:1901.10002(2019)."},{"key":"e_1_3_3_3_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397481.3450662"},{"key":"e_1_3_3_3_42_1","doi-asserted-by":"publisher","DOI":"10.1177\/0008125619867910"},{"key":"e_1_3_3_3_43_1","volume-title":"A survey on explainable artificial intelligence (xai): Toward medical xai","author":"Tjoa Erico","year":"2020","unstructured":"Erico Tjoa and Cuntai Guan. 2020. A survey on explainable artificial intelligence (xai): Toward medical xai. IEEE Transactions on Neural Networks and Learning Systems (2020)."},{"key":"e_1_3_3_3_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300831"},{"key":"e_1_3_3_3_45_1","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.11345"},{"key":"e_1_3_3_3_46_1","doi-asserted-by":"crossref","unstructured":"Brahim Zarouali Tom Dobber Guy De\u00a0Pauw and Claes de Vreese. 2020. Using a Personality-Profiling Algorithm to Investigate Political Microtargeting: Assessing the Persuasion Effects of Personality-Tailored Ads on Social Media. Communication Research(2020) 009365022096196.","DOI":"10.1177\/0093650220961965"},{"key":"e_1_3_3_3_47_1","doi-asserted-by":"publisher","DOI":"10.1177\/0162243915605575"},{"key":"e_1_3_3_3_48_1","unstructured":"Carlos Zednik. 2019. Solving the black box problem: a normative framework for explainable artificial intelligence. Philosophy & Technology(2019) 1\u201324."}],"event":{"name":"CHI '23: CHI Conference on Human Factors in Computing Systems","location":"Hamburg Germany","acronym":"CHI '23","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3544548.3580945","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3544548.3580945","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:47:19Z","timestamp":1750178839000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3544548.3580945"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,19]]},"references-count":48,"alternative-id":["10.1145\/3544548.3580945","10.1145\/3544548"],"URL":"https:\/\/doi.org\/10.1145\/3544548.3580945","relation":{},"subject":[],"published":{"date-parts":[[2023,4,19]]},"assertion":[{"value":"2023-04-19","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}