{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:11:02Z","timestamp":1750219862286,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,3,19]],"date-time":"2023-03-19T00:00:00Z","timestamp":1679184000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,3,19]]},"DOI":"10.1145\/3576840.3578315","type":"proceedings-article","created":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T17:43:05Z","timestamp":1679334185000},"page":"247-257","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Understanding the Cognitive Influences of Interpretability Features on How Users Scrutinize Machine-Predicted Categories"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4460-5637","authenticated-orcid":false,"given":"Jiaming","family":"Qu","sequence":"first","affiliation":[{"name":"School of Information and Library Science, University of North Carolina at Chapel Hill, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7645-0556","authenticated-orcid":false,"given":"Jaime","family":"Arguello","sequence":"additional","affiliation":[{"name":"School of Information and Library Science, University of North Carolina at Chapel Hill, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0278-2347","authenticated-orcid":false,"given":"Yue","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information and Library Science, University of North Carolina at Chapel Hill, USA"}]}],"member":"320","published-online":{"date-parts":[[2023,3,20]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445717"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"David\u00a0A Broniatowski. 2021. Psychological Foundations of Explainability and Interpretability in Artificial Intelligence. (2021).","DOI":"10.6028\/NIST.IR.8367"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/2817912.2817913"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v14i1.7282"},{"key":"e_1_3_2_1_5_1","volume-title":"Proceedings of the 35th International Conference on Machine Learning(Proceedings of Machine Learning Research). PMLR, 883\u2013892","author":"Chen Jianbo","year":"2018","unstructured":"Jianbo Chen, Le Song, Martin Wainwright, and Michael Jordan. 2018. Learning to Explain: An Information-Theoretic Perspective on Model Interpretation. In Proceedings of the 35th International Conference on Machine Learning(Proceedings of Machine Learning Research). PMLR, 883\u2013892."},{"key":"e_1_3_2_1_6_1","unstructured":"Finale Doshi-Velez and Been Kim. 2017. Towards a rigorous science of interpretable machine learning. arXiv preprint arXiv:1702.08608(2017)."},{"volume-title":"AMIA annual symposium proceedings, Vol.\u00a02003","author":"Eysenbach Gunther","key":"e_1_3_2_1_7_1","unstructured":"Gunther Eysenbach and Ch Kohler. 2003. What is the prevalence of health-related searches on the World Wide Web? Qualitative and quantitative analysis of search engine queries on the internet. In AMIA annual symposium proceedings, Vol.\u00a02003. American Medical Informatics Association, 225."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.491"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.3389\/frma.2018.00023"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376219"},{"volume-title":"Advances in Neural Information Processing Systems. Curran Associates","author":"Kim Been","key":"e_1_3_2_1_11_1","unstructured":"Been Kim, Rajiv Khanna, and Oluwasanmi\u00a0O Koyejo. 2016. Examples are not enough, learn to criticize! Criticism for Interpretability. In Advances in Neural Information Processing Systems. Curran Associates, Inc."},{"key":"e_1_3_2_1_12_1","volume-title":"International conference on machine learning. PMLR","author":"Koh Pang\u00a0Wei","year":"2017","unstructured":"Pang\u00a0Wei Koh and Percy Liang. 2017. Understanding black-box predictions via influence functions. In International conference on machine learning. PMLR, 1885\u20131894."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376873"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287590"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939874"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1011"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.1994.03510380059038"},{"key":"e_1_3_2_1_18_1","volume-title":"A unified approach to interpreting model predictions. Advances in neural information processing systems 30","author":"Lundberg M","year":"2017","unstructured":"Scott\u00a0M Lundberg and Su-In Lee. 2017. A unified approach to interpreting model predictions. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1900654116"},{"key":"e_1_3_2_1_20_1","volume-title":"MEDLINE 2022 Initiative: Transition to Automated Indexing. https:\/\/www.nlm.nih.gov\/pubs\/techbull\/nd21\/nd21_medline_2022","author":"National Library of Medicine.","year":"2021","unstructured":"National Library of Medicine. 2021. MEDLINE 2022 Initiative: Transition to Automated Indexing. https:\/\/www.nlm.nih.gov\/pubs\/techbull\/nd21\/nd21_medline_2022.html. Accessed: 2022-01."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3502104"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482409"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11491"},{"volume-title":"There Is Not Enough Information\u201d: On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making(FAccT \u201922)","author":"Schoeffer Jakob","key":"e_1_3_2_1_25_1","unstructured":"Jakob Schoeffer, Niklas Kuehl, and Yvette Machowski. 2022. \u201cThere Is Not Enough Information\u201d: On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making(FAccT \u201922). Association for Computing Machinery, New York, NY, USA, 1616\u20131628."},{"key":"e_1_3_2_1_26_1","volume-title":"Human Interpretation of Saliency-Based Explanation Over Text. In 2022 ACM Conference on Fairness, Accountability, and Transparency(FAccT \u201922)","author":"Schuff Hendrik","year":"2022","unstructured":"Hendrik Schuff, Alon Jacovi, Heike Adel, Yoav Goldberg, and Ngoc\u00a0Thang Vu. 2022. Human Interpretation of Saliency-Based Explanation Over Text. In 2022 ACM Conference on Fairness, Accountability, and Transparency(FAccT \u201922). Association for Computing Machinery, New York, NY, USA, 611\u2013636."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Aaron Springer and Steve Whittaker. 2020. Progressive disclosure: When why and how do users want algorithmic transparency information?ACM Transactions on Interactive Intelligent Systems (TiiS) 10 4(2020) 1\u201332.","DOI":"10.1145\/3374218"},{"key":"e_1_3_2_1_29_1","first-page":"841","article-title":"Counterfactual explanations without opening the black box: automated decisions and the GDPR","volume":"31","author":"Wachter S","year":"2018","unstructured":"S Wachter, B Mittelstadt, and C Russell. 2018. Counterfactual explanations without opening the black box: automated decisions and the GDPR. Harvard Journal of Law and Technology 31, 2 (2018), 841\u2013887.","journal-title":"Harvard Journal of Law and Technology"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1162\/dint_a_00006"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397481.3450650"},{"key":"e_1_3_2_1_32_1","unstructured":"Hilde\u00a0JP Weerts Werner van Ipenburg and Mykola Pechenizkiy. 2019. A human-grounded evaluation of SHAP for alert processing. arXiv preprint arXiv:1907.03324(2019)."},{"key":"e_1_3_2_1_33_1","first-page":"16","article-title":"Exploring PubMed as a reliable resource for scholarly communications services","volume":"107","author":"Williamson Peace\u00a0Ossom","year":"2019","unstructured":"Peace\u00a0Ossom Williamson and Christian\u00a0IJ Minter. 2019. Exploring PubMed as a reliable resource for scholarly communications services. Journal of the Medical Library Association: JMLA 107, 1 (2019), 16.","journal-title":"Journal of the Medical Library Association: JMLA"},{"key":"e_1_3_2_1_34_1","volume-title":"Yi Yang, Barry Smyth, and Ruihai Dong.","author":"Yang Linyi","year":"2020","unstructured":"Linyi Yang, Eoin\u00a0M Kenny, Tin Lok\u00a0James Ng, Yi Yang, Barry Smyth, and Ruihai Dong. 2020. Generating plausible counterfactual explanations for deep transformers in financial text classification. arXiv preprint arXiv:2010.12512(2020)."},{"key":"e_1_3_2_1_35_1","unstructured":"Muhammad\u00a0Rehman Zafar and Naimul\u00a0Mefraz Khan. 2019. DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems. In ACM SIGKDD Workshop on Explainable AI\/ML (XAI) for Accountability Fairness and Transparency. 6."}],"event":{"name":"CHIIR '23: ACM SIGIR Conference on Human Information Interaction and Retrieval","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval","SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"Austin TX USA","acronym":"CHIIR '23"},"container-title":["Proceedings of the 2023 Conference on Human Information Interaction and Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3576840.3578315","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3576840.3578315","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:47:27Z","timestamp":1750178847000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3576840.3578315"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,19]]},"references-count":35,"alternative-id":["10.1145\/3576840.3578315","10.1145\/3576840"],"URL":"https:\/\/doi.org\/10.1145\/3576840.3578315","relation":{},"subject":[],"published":{"date-parts":[[2023,3,19]]},"assertion":[{"value":"2023-03-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}