{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T07:55:58Z","timestamp":1776930958432,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":74,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3772318.3791274","type":"proceedings-article","created":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T05:14:30Z","timestamp":1776057270000},"page":"1-17","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Certified AI System = Trustworthy? Exploring Expert and Lay User Perceptions and Needs Regarding AI Certification"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0096-470X","authenticated-orcid":false,"given":"Sarah","family":"Abdelwahab Gaballah","sequence":"first","affiliation":[{"name":"Ruhr University Bochum, Bochum, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0805-0107","authenticated-orcid":false,"given":"Nur Efsan","family":"Cetinkaya","sequence":"additional","affiliation":[{"name":"University of Duisburg-Essen, Essen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6377-0940","authenticated-orcid":false,"given":"Magdalena","family":"Wischnewski","sequence":"additional","affiliation":[{"name":"University of Duisburg-Essen, Essen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1823-5505","authenticated-orcid":false,"given":"Martina Angela","family":"Sasse","sequence":"additional","affiliation":[{"name":"Computer Science, Ruhr University Bochum, Bochum, Germany"}]}],"member":"320","published-online":{"date-parts":[[2026,4,13]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"crossref","unstructured":"Nur Ahmed Muntasir Wahed and Neil\u00a0C Thompson. 2023. The growing influence of industry in AI research. Science 379 6635 (2023) 884\u2013886.","DOI":"10.1126\/science.ade2420"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/3715275.3732059"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706598.3713501"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"crossref","unstructured":"Marco Anisetti Claudio\u00a0A Ardagna Nicola Bena and Ernesto Damiani. 2023. Rethinking certification for trustworthy machine-learning-based applications. IEEE Internet Computing 27 6 (2023) 22\u201328.","DOI":"10.1109\/MIC.2023.3322327"},{"key":"e_1_3_3_2_6_2","unstructured":"Gregor Autischer Kerstin Waxnegger and Dominik Kowald. 2025. Practical Application and Limitations of AI Certification Catalogues in the Light of the AI Act. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2502.10398 (2025)."},{"key":"e_1_3_3_2_7_2","unstructured":"Gregor Autischer Kerstin Waxnegger and Dominik Kowald. 2025. Practical Application and Limitations of AI Certification Catalogues in the Light of the AI Act. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2502.10398 (2025)."},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/3514094.3534164"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"crossref","unstructured":"Steve\u00a0J Bickley Ho\u00a0Fai Chan and Benno Torgler. 2022. Artificial intelligence in the field of economics. Scientometrics 127 4 (2022) 2055\u20132084.","DOI":"10.1007\/s11192-022-04294-w"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"crossref","unstructured":"Myrthe Bl\u00f6sser and Andrea Weihrauch. 2024. A consumer perspective of AI certification\u2013the current certification landscape consumer approval and directions for future research. European Journal of Marketing 58 2 (2024) 441\u2013470.","DOI":"10.1108\/EJM-01-2023-0009"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"crossref","unstructured":"Edyta\u00a0Paulina Bogucka Marios Constantinides Sanja \u0160\u0107epanovi\u0107 and Daniele Quercia. 2025. Impact Assessment Card: Communicating Risks and Benefits of AI Uses. Proceedings of the ACM on Human-Computer Interaction 9 7 (2025) 1\u201342.","DOI":"10.1145\/3757482"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"crossref","unstructured":"Ted Boren and Judith Ramey. 2000. Thinking aloud: Reconciling theory and practice. IEEE transactions on professional communication 43 3 (2000) 261\u2013278.","DOI":"10.1109\/47.867942"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1037\/13620-004"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"crossref","unstructured":"Kendall Brogle Emma Kallina Holli Sargeant Var Shankar Adrian Weller Ashley Casovan and Umang Bhatt. 2025. Context-specific certification of AI systems: a pilot in the financial industry. AI and Ethics (2025) 1\u201318.","DOI":"10.1007\/s43681-025-00720-w"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"crossref","unstructured":"Kendall Brogle Emma Kallina Holli Sargeant Var Shankar Adrian Weller Ashley Casovan and Umang Bhatt. 2025. Context-specific certification of AI systems: a pilot in the financial industry. AI and Ethics (2025) 1\u201318.","DOI":"10.1007\/s43681-025-00720-w"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"crossref","unstructured":"Luis-Alberto Casado-Aranda Angelika Dimoka and Juan S\u00e1nchez-Fern\u00e1ndez. 2019. Consumer processing of online trust signals: a neuroimaging study. Journal of Interactive Marketing 47 1 (2019) 159\u2013180.","DOI":"10.1016\/j.intmar.2019.02.006"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706598.3713463"},{"key":"e_1_3_3_2_18_2","unstructured":"Nur\u00a0Efsan Cetinkaya and Nicole Kr\u00e4mer. 2025. Between transparency and trust: identifying key factors in AI system perception. Behaviour & Information Technology (2025) 1\u201315."},{"key":"e_1_3_3_2_19_2","unstructured":"Myra Cheng Angela\u00a0Y Lee Kristina Rapuano Kate Niederhoffer Alex Liebscher and Jeffrey Hancock. 2025. From tools to thieves: Measuring and understanding public perceptions of AI through crowdsourced metaphors. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2501.18045 (2025)."},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"crossref","unstructured":"Allessia Chiappetta. 2023. Navigating the AI frontier: European parliamentary insights on bias and regulation preceding the AI Act. Internet Policy Review 12 4 (2023) 1\u201326.","DOI":"10.14763\/2023.4.1733"},{"key":"e_1_3_3_2_21_2","unstructured":"Peter Cihon. 2019. Standards for AI governance: international standards to enable global coordination in AI research & development. Future of Humanity Institute. University of Oxford 40 3 (2019) 340\u2013342."},{"key":"e_1_3_3_2_22_2","unstructured":"Victoria Clarke and Virginia Braun. 2013. Successful qualitative research: A practical guide for beginners. Successful qualitative research (2013) 1\u2013400."},{"key":"e_1_3_3_2_23_2","unstructured":"Nicholas\u00a0Kluge Corr\u00eaa and Julia\u00a0Maria M\u00f6nig. 2024. Catalog of general ethical requirements for ai certification. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2408.12289 (2024)."},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3533108"},{"key":"e_1_3_3_2_25_2","unstructured":"Filipa de Almeida Joana Glaum and Ian Scott. 2024. Beyond Black Boxes: Certification Labels Increase AI Adoption through Trust. Available at SSRN 4765270 (2024)."},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706599.3720275"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1145\/3290607.3312787"},{"key":"e_1_3_3_2_28_2","unstructured":"Open Ethics. 2023. Open Ethics Label: AI Nutrition Labels. https:\/\/openethics.ai\/label. Retrieved August 15 2025."},{"key":"e_1_3_3_2_29_2","volume-title":"CogSci","author":"Ferguson Aidah\u00a0Nakakande","year":"2022","unstructured":"Aidah\u00a0Nakakande Ferguson, Matija Franklin, and David\u00a0A Lagnado. 2022. Explanations that backfire: Explainable artificial intelligence can cause information overload.. In CogSci."},{"key":"e_1_3_3_2_30_2","doi-asserted-by":"crossref","unstructured":"Raphael Fischer Magdalena Wischnewski Alexander van\u00a0der Staay Katharina Poitz Christian Janiesch and Thomas Liebig. 2025. Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI Development. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2501.11909 (2025).","DOI":"10.1609\/aies.v8i1.36601"},{"key":"e_1_3_3_2_31_2","doi-asserted-by":"crossref","unstructured":"Steven\u00a0L Franconeri Lace\u00a0M Padilla Priti Shah Jeffrey\u00a0M Zacks and Jessica Hullman. 2021. The science of visual data communication: What works. Psychological Science in the public interest 22 3 (2021) 110\u2013161.","DOI":"10.1177\/15291006211051956"},{"key":"e_1_3_3_2_32_2","first-page":"15","volume-title":"Symposium on Scaling AI Assessments (SAIA 2024)","author":"Frischknecht-Gruber Carmen","year":"2025","unstructured":"Carmen Frischknecht-Gruber, Philipp Denzel, Monika Reif, Yann Billeter, Stefan Brunner, Oliver Forster, Frank-Peter Schilling, Joanna Weng, and Ricardo Chavarriaga. 2025. AI Assessment in Practice: Implementing a Certification Scheme for AI Trustworthiness (Academic Track). In Symposium on Scaling AI Assessments (SAIA 2024). Schloss Dagstuhl\u2013Leibniz-Zentrum f\u00fcr Informatik, 15\u20131."},{"key":"e_1_3_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45547-7_3"},{"key":"e_1_3_3_2_34_2","doi-asserted-by":"crossref","unstructured":"Harry Hochheiser and Jonathan Lazar. 2007. HCI and societal issues: A framework for engagement. International Journal of Human [# x02013] Computer Interaction 23 3 (2007) 339\u2013374.","DOI":"10.1080\/10447310701702717"},{"key":"e_1_3_3_2_35_2","unstructured":"Twilio Inc.2023. AI Nutrition Facts. https:\/\/nutrition-facts.ai. Retrieved November 09 2025."},{"key":"e_1_3_3_2_36_2","doi-asserted-by":"crossref","unstructured":"David Jonassen and Young\u00a0Hoan Cho. 2008. Externalizing mental models with mindtools. Understanding models for learning and instruction (2008) 145\u2013159.","DOI":"10.1007\/978-0-387-76898-4_7"},{"key":"e_1_3_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.1145\/1572532.1572538"},{"key":"e_1_3_3_2_38_2","doi-asserted-by":"crossref","unstructured":"Dan\u00a0J Kim Myung-Seong Yim Vijayan Sugumaran and H\u00a0Raghav Rao. 2016. Web assurance seal services trust and consumers\u2019 concerns: An investigation of e-commerce transaction intentions across two nations. European Journal of Information Systems 25 3 (2016) 252\u2013273.","DOI":"10.1057\/ejis.2015.16"},{"key":"e_1_3_3_2_39_2","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858402"},{"key":"e_1_3_3_2_40_2","doi-asserted-by":"crossref","unstructured":"Markus Langer Kevin Baum and Nadine Schlicker. 2024. Effective human oversight of AI-based systems: A signal detection perspective on the detection of inaccurate and unfair outputs. Minds and Machines 35 1 (2024) 1.","DOI":"10.1007\/s11023-024-09701-0"},{"key":"e_1_3_3_2_41_2","doi-asserted-by":"crossref","unstructured":"Johann Laux Sandra Wachter and Brent Mittelstadt. 2024. Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk. Regulation & Governance 18 1 (2024) 3\u201332.","DOI":"10.1111\/rego.12512"},{"key":"e_1_3_3_2_42_2","doi-asserted-by":"crossref","unstructured":"Maroussia L\u00e9vesque. 2024. Smoke and mirrors? AI regulation and corporate power. AI Regulation and Corporate Power (August 01 2024) (2024).","DOI":"10.2139\/ssrn.4736131"},{"key":"e_1_3_3_2_43_2","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3533182"},{"key":"e_1_3_3_2_44_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376792"},{"key":"e_1_3_3_2_45_2","doi-asserted-by":"crossref","unstructured":"Sara\u00a0N Matheu Jose\u00a0L Hernandez-Ramos Antonio\u00a0F Skarmeta and Gianmarco Baldini. 2020. A survey of cybersecurity certification for the internet of things. ACM Computing Surveys (CSUR) 53 6 (2020) 1\u201336.","DOI":"10.1145\/3410160"},{"key":"e_1_3_3_2_46_2","doi-asserted-by":"publisher","unstructured":"Jacob Metcalf Emanuel Moss Elizabeth\u00a0Anne Watkins and Seeta Pe\u00f1a\u00a0Gangadharan Ranjit. 2021. Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts. Proceedings of the ACM on Human-Computer Interaction 5 CSCW2 (2021) 1\u201327. 10.1145\/3476053","DOI":"10.1145\/3476053"},{"key":"e_1_3_3_2_47_2","volume-title":"Artificial intelligence: A guide for thinking humans","author":"Mitchell Melanie","year":"2019","unstructured":"Melanie Mitchell. 2019. Artificial intelligence: A guide for thinking humans. Penguin UK."},{"key":"e_1_3_3_2_48_2","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287596"},{"key":"e_1_3_3_2_49_2","doi-asserted-by":"publisher","DOI":"10.4135\/9781036231330"},{"key":"e_1_3_3_2_50_2","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3533231"},{"key":"e_1_3_3_2_51_2","doi-asserted-by":"crossref","unstructured":"Yuzhou Qian Keng\u00a0L Siau and Fiona\u00a0F Nah. 2024. Societal impacts of artificial intelligence: Ethical legal and governance issues. Societal impacts 3 (2024) 100040.","DOI":"10.1016\/j.socimp.2024.100040"},{"key":"e_1_3_3_2_52_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642813"},{"key":"e_1_3_3_2_53_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706598.3713979"},{"key":"e_1_3_3_2_54_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706599.3719681"},{"key":"e_1_3_3_2_55_2","doi-asserted-by":"crossref","unstructured":"Jens Riegelsberger M\u00a0Angela Sasse and John\u00a0D McCarthy. 2005. The mechanics of trust: A framework for research and design. International journal of human-computer studies 62 3 (2005) 381\u2013422.","DOI":"10.1016\/j.ijhcs.2005.01.001"},{"key":"e_1_3_3_2_56_2","volume-title":"Licensure, accreditation, and certification: approaches to health services quality","author":"Rooney Anne\u00a0L","year":"1999","unstructured":"Anne\u00a0L Rooney and Paul\u00a0R Van\u00a0Ostenberg. 1999. Licensure, accreditation, and certification: approaches to health services quality. Center for Human Services, Quality Assurance Project Bethesda."},{"key":"e_1_3_3_2_57_2","doi-asserted-by":"publisher","DOI":"10.1145\/3593013.3593994"},{"key":"e_1_3_3_2_58_2","doi-asserted-by":"crossref","unstructured":"Luciana Maines\u00a0da Silva Claudia\u00a0Cristina Bitencourt Kad\u00edgia Faccin and Tatiana Iakovleva. 2019. The role of stakeholders in the context of responsible innovation: A meta-synthesis. Sustainability 11 6 (2019) 1766.","DOI":"10.3390\/su11061766"},{"key":"e_1_3_3_2_59_2","doi-asserted-by":"publisher","DOI":"10.1145\/3630106.3659051"},{"key":"e_1_3_3_2_60_2","doi-asserted-by":"publisher","DOI":"10.4324\/9781003075028-22"},{"key":"e_1_3_3_2_61_2","unstructured":"Ali Sunyaev Alexander Benlian Jella Pfeiffer Ekaterina Jussupow Scott Thiebes Alexander Maedche and Joshua Gawlitza. 2025. High-Risk Artificial Intelligence. Business & Information Systems Engineering (2025) 1\u201314."},{"key":"e_1_3_3_2_62_2","doi-asserted-by":"crossref","unstructured":"Ali Sunyaev and Stephan Schneider. 2013. Cloud services certification. Commun. ACM 56 2 (2013) 33\u201336.","DOI":"10.1145\/2408776.2408789"},{"key":"e_1_3_3_2_63_2","doi-asserted-by":"publisher","DOI":"10.1145\/3743049.3743072"},{"key":"e_1_3_3_2_64_2","doi-asserted-by":"publisher","DOI":"10.1145\/3630106.3658935"},{"key":"e_1_3_3_2_65_2","doi-asserted-by":"crossref","unstructured":"Frauke\u00a0Mattison Thompson Sven Tuzovic and Corina Braun. 2019. Trustmarks: Strategies for exploiting their full potential in e-commerce. Business Horizons 62 2 (2019) 237\u2013247.","DOI":"10.1016\/j.bushor.2018.09.004"},{"key":"e_1_3_3_2_66_2","doi-asserted-by":"publisher","DOI":"10.1145\/3546155.3546690"},{"key":"e_1_3_3_2_67_2","unstructured":"Fanny Vainionp\u00e4\u00e4 Karin V\u00e4yrynen Arto Lanam\u00e4ki and Aayush Bhandari. 2023. A review of challenges and critiques of the European Artificial Intelligence Act (AIA). ICIS 2023 Proceedings (2023)."},{"key":"e_1_3_3_2_68_2","doi-asserted-by":"crossref","unstructured":"Andr\u00e9\u00a0Calero Valdez Moreen Heine Thomas Franke Nicole Jochems Hans-Christian Jetter and Tim Schrills. 2024. The European commitment to human-centered technology: the integral role of HCI in the EU AI Act\u2019s success. i-com 23 2 (2024) 249\u2013261.","DOI":"10.1515\/icom-2024-0014"},{"key":"e_1_3_3_2_69_2","doi-asserted-by":"crossref","unstructured":"Michael Veale and Frederik Zuiderveen\u00a0Borgesius. 2021. Demystifying the Draft EU Artificial Intelligence Act\u2014Analysing the good the bad and the unclear elements of the proposed approach. Computer Law Review International 22 4 (2021) 97\u2013112.","DOI":"10.9785\/cri-2021-220402"},{"key":"e_1_3_3_2_70_2","doi-asserted-by":"crossref","unstructured":"Peter Wacnik Shanna\u00a0R Daly and Aditi Verma. 2025. Participatory design: a systematic review and insights for future practice. Design Science 11 (2025) e21.","DOI":"10.1017\/dsj.2025.10009"},{"key":"e_1_3_3_2_71_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3502057"},{"key":"e_1_3_3_2_72_2","unstructured":"Philip\u00a0Matthias Winter Sebastian Eder Johannes Weissenb\u00f6ck Christoph Schwald Thomas Doms Tom Vogt Sepp Hochreiter and Bernhard Nessler. 2021. Trusted artificial intelligence: Towards certification of machine learning applications. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2103.16910 (2021)."},{"key":"e_1_3_3_2_73_2","doi-asserted-by":"crossref","unstructured":"Magdalena Wischnewski Nicole Kramer Christian Janiesch Emmanuel Muller Theodor Schnitzler and Carina Newen. 2024. In seal we trust?: Investigating the effect of certifications on perceived trustworthiness of AI systems. Human-Machine Communication 8 (2024) 141\u2013162.","DOI":"10.30658\/hmc.8.7"},{"key":"e_1_3_3_2_74_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581197"},{"key":"e_1_3_3_2_75_2","doi-asserted-by":"crossref","unstructured":"Roberto\u00a0V Zicari John Brodersen James Brusseau Boris D\u00fcdder Timo Eichhorn Todor Ivanov Georgios Kararigas Pedro Kringen Melissa McCullough Florian M\u00f6slein et\u00a0al. 2021. Z-Inspection\u00ae: a process to assess trustworthy AI. IEEE Transactions on Technology and Society 2 2 (2021) 83\u201397.","DOI":"10.1109\/TTS.2021.3066209"}],"event":{"name":"CHI 2026: CHI Conference on Human Factors in Computing Systems","location":"Barcelona Spain","acronym":"CHI '26","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3772318.3791274","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T10:14:54Z","timestamp":1776420894000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3772318.3791274"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,13]]},"references-count":74,"alternative-id":["10.1145\/3772318.3791274","10.1145\/3772318"],"URL":"https:\/\/doi.org\/10.1145\/3772318.3791274","relation":{},"subject":[],"published":{"date-parts":[[2026,4,13]]},"assertion":[{"value":"2026-04-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}