{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T04:11:35Z","timestamp":1748664695401,"version":"3.41.0"},"publisher-location":"Cham","reference-count":56,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031932359","type":"print"},{"value":"9783031932366","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-93236-6_2","type":"book-chapter","created":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T21:27:40Z","timestamp":1748640460000},"page":"20-35","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Explaining What Matters: Perceptions of AI Explanations in an AI-Powered Data Analytics Platform for UX Design"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-6616-0271","authenticated-orcid":false,"given":"Yi","family":"Luo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5130-9230","authenticated-orcid":false,"given":"Dimitrios","family":"Gkouskos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2784-2238","authenticated-orcid":false,"given":"Nancy L.","family":"Russo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,5,25]]},"reference":[{"key":"2_CR1","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1111\/jpim.12523","volume":"37","author":"R Verganti","year":"2020","unstructured":"Verganti, R., Vendraminelli, L., Iansiti, M.: Innovation and design in the age of artificial intelligence. J. Prod. Innov. Manag. 37, 212\u2013227 (2020). https:\/\/doi.org\/10.1111\/jpim.12523","journal-title":"J. Prod. Innov. Manag."},{"key":"2_CR2","unstructured":"What is User Experience (UX) Design? https:\/\/www.interaction-design.org\/literature\/topics\/ux-design"},{"key":"2_CR3","first-page":"1","volume-title":"Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems","author":"Y Lu","year":"2022","unstructured":"Lu, Y., Zhang, C., Zhang, I., Li, T.J.-J.: Bridging the gap between UX practitioners\u2019 work practices and AI-enabled design support tools. In: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems, pp. 1\u20137. Association for Computing Machinery, New York, NY (2022)"},{"key":"2_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3432945","volume":"4","author":"R Zhang","year":"2021","unstructured":"Zhang, R., McNeese, N.J., Freeman, G., Musick, G.: \u201cAn ideal human\u201d: expectations of AI teammates in human-AI teaming. Proc. ACM Hum. Comput. Interact. 4, 1\u201325 (2021). https:\/\/doi.org\/10.1145\/3432945","journal-title":"Proc. ACM Hum. Comput. Interact."},{"key":"2_CR5","doi-asserted-by":"crossref","unstructured":"Ehsan, U., Liao, Q.V., Muller, M., Riedl, M.O., Weisz, J.D.: Expanding explainability: towards social transparency in AI systems. In: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. pp. 1\u201319. ACM, Yokohama, Japan (2021)","DOI":"10.1145\/3411764.3445188"},{"key":"2_CR6","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1007\/s11067-014-9235-9","volume":"16","author":"J Lin","year":"2016","unstructured":"Lin, J., Chen, Q., Kawamura, K.: Sustainability SI: logistics cost and environmental impact analyses of urban delivery consolidation strategies. Netw. Spat. Econ. 16, 227\u2013253 (2016). https:\/\/doi.org\/10.1007\/s11067-014-9235-9","journal-title":"Netw. Spat. Econ."},{"key":"2_CR7","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.ijhcs.2019.09.004","volume":"134","author":"EZ Victorelli","year":"2020","unstructured":"Victorelli, E.Z., Dos Reis, J.C., Hornung, H., Prado, A.B.: Understanding human-data interaction: literature review and recommendations for design. Int. J. Hum. Comput. Stud. 134, 13\u201332 (2020). https:\/\/doi.org\/10.1016\/j.ijhcs.2019.09.004","journal-title":"Int. J. Hum. Comput. Stud."},{"key":"2_CR8","unstructured":"Kok, J.N., Boers, E.J.W., Kosters, W.A., van der Putten, P., Poel, M.: Artificial intelligence: definition, trends, techniques and cases. Artif. Intell. (2002)"},{"key":"2_CR9","volume-title":"Machine Learning: A Probabilistic Perspective","author":"KP Murphy","year":"2012","unstructured":"Murphy, K.P.: Machine Learning: A Probabilistic Perspective. MIT Press (2012)"},{"key":"2_CR10","doi-asserted-by":"crossref","unstructured":"Buschek, D., Anlau, C., Lachner, F.: Paper2Wire\u2014a case study of user-centred development of machine learning tools for UX designers. 9 (2020)","DOI":"10.1145\/3404983.3405506"},{"key":"2_CR11","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1007\/978-3-030-85613-7_19","volume-title":"Human-Computer Interaction\u2014INTERACT 2021","author":"G Desolda","year":"2021","unstructured":"Desolda, G., Esposito, A., Lanzilotti, R., Costabile, M.F.: Detecting emotions through machine learning for automatic UX evaluation. In: Ardito, C., Lanzilotti, R., Malizia, A., Petrie, H., Piccinno, A., Desolda, G., Inkpen, K. (eds.) Human-Computer Interaction\u2014INTERACT 2021, pp. 270\u2013279. Springer International Publishing, Cham (2021)"},{"key":"2_CR12","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.dss.2013.05.003","volume":"56","author":"A Oztekin","year":"2013","unstructured":"Oztekin, A., Delen, D., Turkyilmaz, A., Zaim, S.: A machine learning-based usability evaluation method for eLearning systems. Decis. Support. Syst. 56, 63\u201373 (2013). https:\/\/doi.org\/10.1016\/j.dss.2013.05.003","journal-title":"Decis. Support. Syst."},{"key":"2_CR13","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1145\/3025453.3025739","volume-title":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems","author":"G Dove","year":"2017","unstructured":"Dove, G., Halskov, K., Forlizzi, J., Zimmerman, J.: UX design innovation: challenges for working with machine learning as a design material. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 278\u2013288. ACM, Denver, CO (2017)"},{"key":"2_CR14","first-page":"1","volume-title":"Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems","author":"Q Yang","year":"2021","unstructured":"Yang, Q.: SIGCHI outstanding dissertation award: profiling artificial intelligence as a material for user experience design. In: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, pp. 1\u20133. ACM, Yokohama (2021)"},{"key":"2_CR15","doi-asserted-by":"publisher","first-page":"51501","DOI":"10.1109\/ACCESS.2022.3173289","volume":"10","author":"AMH Abbas","year":"2022","unstructured":"Abbas, A.M.H., Ghauth, K.I., Ting, C.-Y.: User experience design using machine learning: a systematic review. IEEE Access. 10, 51501\u201351514 (2022). https:\/\/doi.org\/10.1109\/ACCESS.2022.3173289","journal-title":"IEEE Access."},{"issue":"6","key":"2_CR16","doi-asserted-by":"publisher","first-page":"2324","DOI":"10.1108\/ITP-07-2022-0519","volume":"37","author":"\u00c5 Stige","year":"2023","unstructured":"Stige, \u00c5., Zamani, E.D., Mikalef, P., Zhu, Y.: Artificial intelligence (AI) for user experience (UX) design: a systematic literature review and future research agenda. Infor. Technol. People. 37(6), 2324\u20132352 (2023). https:\/\/doi.org\/10.1108\/ITP-07-2022-0519","journal-title":"Infor. Technol. People"},{"key":"2_CR17","unstructured":"Generative AI vs. Predictive AI: What\u2019s the Difference? https:\/\/www.coursera.org\/articles\/generative-ai-vs-predictive-ai"},{"key":"2_CR18","doi-asserted-by":"publisher","first-page":"93","DOI":"10.4037\/aacnacc2024225","volume":"35","author":"L Harrington","year":"2024","unstructured":"Harrington, L.: Comparison of generative artificial intelligence and predictive artificial intelligence. AACN Adv. Crit. Care. 35, 93\u201396 (2024). https:\/\/doi.org\/10.4037\/aacnacc2024225","journal-title":"AACN Adv. Crit. Care"},{"key":"2_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbusres.2024.114720","volume":"180","author":"E Hermann","year":"2024","unstructured":"Hermann, E., Puntoni, S.: Artificial intelligence and consumer behavior: from predictive to generative AI. J. Bus. Res. 180, 114720 (2024). https:\/\/doi.org\/10.1016\/j.jbusres.2024.114720","journal-title":"J. Bus. Res."},{"key":"2_CR20","doi-asserted-by":"crossref","unstructured":"Koonsanit, K., Nishiuchi, N.: Classification of user satisfaction using facial expression recognition and machine learning. In: 2020 IEEE REGION 10 CONFERENCE (TENCON). pp. 561\u2013566 (2020)","DOI":"10.1109\/TENCON50793.2020.9293912"},{"key":"2_CR21","doi-asserted-by":"publisher","first-page":"2943","DOI":"10.1145\/2207676.2208703","volume-title":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems","author":"C Holland","year":"2012","unstructured":"Holland, C., Komogortsev, O., Tamir, D.: Identifying usability issues via algorithmic detection of excessive visual search. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2943\u20132952. ACM, Austin, TX (2012)"},{"key":"2_CR22","first-page":"183","volume":"11","author":"O Fe","year":"2006","unstructured":"Fe, O.: Evaluation of new product development projects using artificial intelligence and fuzzy logic. Int. Conf. Knowl. Mining Comput. Sci. 11, 183\u2013189 (2006)","journal-title":"Int. Conf. Knowl. Mining Comput. Sci."},{"key":"2_CR23","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/s12599-023-00834-7","volume":"66","author":"S Feuerriegel","year":"2024","unstructured":"Feuerriegel, S., Hartmann, J., Janiesch, C., Zschech, P.: Generative AI. Bus. Inf. Syst. Eng. 66, 111\u2013126 (2024). https:\/\/doi.org\/10.1007\/s12599-023-00834-7","journal-title":"Bus. Inf. Syst. Eng."},{"key":"2_CR24","first-page":"1579","volume-title":"Proceedings of the 2024 ACM Designing Interactive Systems Conference","author":"M Takaffoli","year":"2024","unstructured":"Takaffoli, M., Li, S., M\u00e4kel\u00e4, V.: Generative AI in user experience design and research: how do UX practitioners, teams, and companies use GenAI in industry? In: Proceedings of the 2024 ACM Designing Interactive Systems Conference, pp. 1579\u20131593. Association for Computing Machinery, New York, NY (2024)"},{"key":"2_CR25","doi-asserted-by":"crossref","unstructured":"Chromik, M., Lachner, F., Butz, A.: ML for UX? An inventory and predictions on the use of machine learning techniques for UX research. In: Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society, pp. 1\u201311, ACM, Tallinn, Estonia (2020)","DOI":"10.1145\/3419249.3420163"},{"key":"2_CR26","first-page":"1","volume-title":"Proceedings of the CHI Conference on Human Factors in Computing Systems","author":"SW Lee","year":"2024","unstructured":"Lee, S.W., Jo, T.H., Jin, S., Choi, J., Yun, K., Bromberg, S., Ban, S., Hyun, K.H.: The impact of sketch-guided vs. prompt-guided 3D generative AIs on the design exploration process. In: Proceedings of the CHI Conference on Human Factors in Computing Systems, pp. 1\u201318. Association for Computing Machinery, New York, NY (2024)"},{"issue":"5","key":"2_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3534561","volume":"30","author":"K Inkpen","year":"2023","unstructured":"Inkpen, K., Chappidi, S., Mallari, K., Nushi, B., Ramesh, D., Michelucci, P., Mandava, V., Vep\u0158ek, L.H., Quinn, G.: Advancing human-AI complementarity: the impact of user expertise and algorithmic tuning on joint decision making. ACM Trans. Comput.Hum. Interact. 30(5), 1\u201329 (2023). https:\/\/doi.org\/10.1145\/3534561","journal-title":"ACM Trans. Comput.Hum. Interact."},{"key":"2_CR28","first-page":"1","volume-title":"Proceedings of the CHI Conference on Human Factors in Computing Systems","author":"J Li","year":"2024","unstructured":"Li, J., Cao, H., Lin, L., Hou, Y., Zhu, R., El Ali, A.: User experience design professionals\u2019 perceptions of generative artificial intelligence. In: Proceedings of the CHI Conference on Human Factors in Computing Systems, pp. 1\u201318. Association for Computing Machinery, New York, NY (2024)"},{"key":"2_CR29","doi-asserted-by":"publisher","unstructured":"Lee, S., Law, M., Hoffman, G.: When and how to use AI in the design process? Implications for human-AI design collaboration. Int. J. Hum. Comput. Interact., 1\u201316. https:\/\/doi.org\/10.1080\/10447318.2024.2353451","DOI":"10.1080\/10447318.2024.2353451"},{"key":"2_CR30","doi-asserted-by":"publisher","first-page":"74366","DOI":"10.1109\/ACCESS.2022.3190967","volume":"10","author":"SK Sardar","year":"2022","unstructured":"Sardar, S.K., Kumar, N., Lee, S.C.: A systematic literature review on machine learning algorithms for human status detection. IEEE Access. 10, 74366\u201374382 (2022). https:\/\/doi.org\/10.1109\/ACCESS.2022.3190967","journal-title":"IEEE Access."},{"key":"2_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3610217","volume":"7","author":"Y Shi","year":"2023","unstructured":"Shi, Y., Gao, T., Jiao, X., Cao, N.: Understanding design collaboration between designers and artificial intelligence: a systematic literature review. Proc. ACM Hum.-Comput. Interact. 7, 1\u201335., 368 (2023). https:\/\/doi.org\/10.1145\/3610217","journal-title":"Proc. ACM Hum.-Comput. Interact."},{"key":"2_CR32","doi-asserted-by":"crossref","unstructured":"Zhou, J., Li, R., Tang, J., Tang, T., Li, H., Cui, W., Wu, Y.: Understanding nonlinear collaboration between human and AI agents: a co-design framework for creative design. In: Proceedings of the CHI Conference on Human Factors in Computing Systems. pp. 1\u201316. ACM, Honolulu HI USA (2024)","DOI":"10.1145\/3613904.3642812"},{"key":"2_CR33","doi-asserted-by":"publisher","first-page":"eaay7120","DOI":"10.1126\/scirobotics.aay7120","volume":"4","author":"D Gunning","year":"2019","unstructured":"Gunning, D., Stefik, M., Choi, J., Miller, T., Stumpf, S., Yang, G.-Z.: XAI\u2014Explainable artificial intelligence. Sci. Robot. 4, eaay7120 (2019). https:\/\/doi.org\/10.1126\/scirobotics.aay7120","journal-title":"Sci. Robot."},{"key":"2_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.artint.2018.07.007","volume":"267","author":"T Miller","year":"2019","unstructured":"Miller, T.: Explanation in artificial intelligence: insights from the social sciences. Artif. Intell. 267, 1\u201338 (2019). https:\/\/doi.org\/10.1016\/j.artint.2018.07.007","journal-title":"Artif. Intell."},{"key":"2_CR35","first-page":"1","volume-title":"Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems","author":"QV Liao","year":"2020","unstructured":"Liao, Q.V., Gruen, D., Miller, S.: Questioning the AI: informing design practices for explainable AI user experiences. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1\u201315. ACM, Honolulu, HI (2020)"},{"key":"2_CR36","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1145\/3603717","volume":"30","author":"RY Kim","year":"2023","unstructured":"Kim, R.Y.: Data-driven user experience design. Interactions. 30, 56\u201358 (2023). https:\/\/doi.org\/10.1145\/3603717","journal-title":"Interactions."},{"key":"2_CR37","doi-asserted-by":"publisher","first-page":"1591","DOI":"10.1145\/3461778.3462131","volume-title":"Designing Interactive Systems Conference 2021","author":"S Dhanorkar","year":"2021","unstructured":"Dhanorkar, S., Wolf, C.T., Qian, K., Xu, A., Popa, L., Li, Y.: Who needs to know what, when?: Broadening the explainable AI (XAI) design space by looking at explanations across the AI lifecycle. In: Designing Interactive Systems Conference 2021, pp. 1591\u20131602. ACM, Virtual Event USA (2021)"},{"key":"2_CR38","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3359313","volume":"3","author":"D Wang","year":"2019","unstructured":"Wang, D., Weisz, J.D., Muller, M., Ram, P., Geyer, W., Dugan, C., Tausczik, Y., Samulowitz, H., Gray, A.: Human-AI collaboration in data science: exploring data scientists\u2019 perceptions of automated AI. Proc. ACM Hum. Comput. Interact. 3, 1\u201324 (2019). https:\/\/doi.org\/10.1145\/3359313","journal-title":"Proc. ACM Hum. Comput. Interact."},{"key":"2_CR39","doi-asserted-by":"publisher","DOI":"10.1016\/j.jrt.2021.100017","volume":"7\u20138","author":"A Simkute","year":"2021","unstructured":"Simkute, A., Luger, E., Jones, B., Evans, M., Jones, R.: Explainability for experts: a design framework for making algorithms supporting expert decisions more explainable. J. Respons. Technol. 7\u20138, 100017 (2021). https:\/\/doi.org\/10.1016\/j.jrt.2021.100017","journal-title":"J. Respons. Technol."},{"key":"2_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.trip.2021.100455","volume":"11","author":"P Ebel","year":"2021","unstructured":"Ebel, P., Orlovska, J., H\u00fcnemeyer, S., Wickman, C., Vogelsang, A., S\u00f6derberg, R.: Automotive UX design and data-driven development: Narrowing the gap to support practitioners. Transp. Res. Interdiscip. Perspect. 11, 100455 (2021). https:\/\/doi.org\/10.1016\/j.trip.2021.100455","journal-title":"Transp. Res. Interdiscip. Perspect."},{"key":"2_CR41","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1145\/3409118.3475140","volume-title":"13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","author":"P Ebel","year":"2021","unstructured":"Ebel, P., Lingenfelder, C., Vogelsang, A.: Visualizing event sequence data for user behavior evaluation of in-vehicle information systems. In: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 219\u2013229. ACM, Leeds (2021)"},{"key":"2_CR42","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1145\/3409120.3410638","volume-title":"12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","author":"P Ebel","year":"2020","unstructured":"Ebel, P., Brokhausen, F., Vogelsang, A.: The role and potentials of field user interaction data in the automotive UX development lifecycle: an industry perspective. In: 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 141\u2013150. ACM, Virtual Event DC USA (2020)"},{"key":"2_CR43","doi-asserted-by":"publisher","first-page":"997","DOI":"10.1016\/j.ijpe.2007.12.008","volume":"113","author":"OP Yadav","year":"2008","unstructured":"Yadav, O.P., Goel, P.S.: Customer satisfaction driven quality improvement target planning for product development in automotive industry. Int. J. Prod. Econ. 113, 997\u20131011 (2008). https:\/\/doi.org\/10.1016\/j.ijpe.2007.12.008","journal-title":"Int. J. Prod. Econ."},{"key":"2_CR44","doi-asserted-by":"crossref","unstructured":"Usama, M., Arif, A., Haris, F., Khan, S., Afaq, S.K., Rashid, S.: A data-driven interactive system for aerodynamic and user-centred generative vehicle design. In: 2021 International Conference on Artificial Intelligence (ICAI). pp. 119\u2013127 (2021)","DOI":"10.1109\/ICAI52203.2021.9445243"},{"key":"2_CR45","doi-asserted-by":"publisher","first-page":"58443","DOI":"10.1109\/ACCESS.2020.2983149","volume":"8","author":"E Yurtsever","year":"2020","unstructured":"Yurtsever, E., Lambert, J., Carballo, A., Takeda, K.: A survey of autonomous driving: common practices and emerging technologies. IEEE Access. 8, 58443\u201358469 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.2983149","journal-title":"IEEE Access."},{"key":"2_CR46","doi-asserted-by":"crossref","unstructured":"Joshi, A., Attia, Y., Mishra, T.: Protocol for eliciting driver frustration in an in-vehicle environment. In: 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII). pp. 620\u2013626 (2019)","DOI":"10.1109\/ACII.2019.8925489"},{"key":"2_CR47","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2021.107864","volume":"215","author":"A Theissler","year":"2021","unstructured":"Theissler, A., P\u00e9rez-Vel\u00e1zquez, J., Kettelgerdes, M., Elger, G.: Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry. Reliab. Eng. Syst. Saf. 215, 107864 (2021). https:\/\/doi.org\/10.1016\/j.ress.2021.107864","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"2_CR48","first-page":"1","volume-title":"Proceedings of the First International Symposium on Trustworthy Autonomous Systems","author":"M Akintunde","year":"2023","unstructured":"Akintunde, M., Young, V., Yazdanpanah, V., Salehi Fathabadi, A., Leonard, P., Butler, M., Moreau, L.: Verifiably safe and trusted human-AI systems: a socio-technical perspective. In: Proceedings of the First International Symposium on Trustworthy Autonomous Systems, pp. 1\u20136. Association for Computing Machinery, New York, NY (2023)"},{"key":"2_CR49","doi-asserted-by":"publisher","first-page":"1436","DOI":"10.3758\/s13423-017-1275-y","volume":"24","author":"N Vasilyeva","year":"2017","unstructured":"Vasilyeva, N., Wilkenfeld, D., Lombrozo, T.: Contextual utility affects the perceived quality of explanations. Psychon. Bull. Rev. 24, 1436\u20131450 (2017). https:\/\/doi.org\/10.3758\/s13423-017-1275-y","journal-title":"Psychon. Bull. Rev."},{"key":"2_CR50","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1080\/00461520701756420","volume":"43","author":"J Wittwer","year":"2008","unstructured":"Wittwer, J., Renkl, A.: Why instructional explanations often do not work: a framework for understanding the effectiveness of instructional explanations. Educ. Psychol. 43, 49\u201364 (2008). https:\/\/doi.org\/10.1080\/00461520701756420","journal-title":"Educ. Psychol."},{"key":"2_CR51","doi-asserted-by":"crossref","unstructured":"Danilevsky, M., Qian, K., Aharonov, R., Katsis, Y., Kawas, B., Sen, P.: A survey of the state of explainable AI for natural language processing. http:\/\/arxiv.org\/abs\/2010.00711 (2020)","DOI":"10.18653\/v1\/2020.aacl-main.46"},{"key":"2_CR52","doi-asserted-by":"crossref","unstructured":"Arya, V., Bellamy, R.K.E., Chen, P.-Y., Dhurandhar, A., Hind, M., Hoffman, S.C., Houde, S., Liao, Q.V., Luss, R., Mojsilovi\u0107, A., Mourad, S., Pedemonte, P., Raghavendra, R., Richards, J., Sattigeri, P., Shanmugam, K., Singh, M., Varshney, K.R., Wei, D., Zhang, Y.: One explanation does not fit all: a toolkit and taxonomy of AI explainability techniques. http:\/\/arxiv.org\/abs\/1909.03012 (2019)","DOI":"10.1145\/3351095.3375667"},{"key":"2_CR53","doi-asserted-by":"crossref","unstructured":"Kulesza, T., Stumpf, S., Burnett, M., Yang, S., Kwan, I., Wong, W.-K.: Too much, too little, or just, right? Ways explanations impact end users\u2019 mental models. In: 2013 IEEE Symposium on Visual Languages and Human Centric Computing. pp. 3\u201310 (2013)","DOI":"10.1109\/VLHCC.2013.6645235"},{"key":"2_CR54","doi-asserted-by":"crossref","unstructured":"Goore, Z., Mangione-Smith, R., Elliott, M.N., McDonald, L., Kravitz, R.L.: How much explanation is enough? A study of parent requests for information and physician responses. Ambul. Pediatr. 1, 326\u2013332 (2001). https:\/\/doi.org\/10.1367\/1539-4409(2001)001<0326:HMEIEA>2.0.CO;2","DOI":"10.1367\/1539-4409(2001)001<0326:HMEIEA>2.0.CO;2"},{"key":"2_CR55","first-page":"422","volume-title":"Computer Vision\u2013ECCV 2024","author":"Y Yao","year":"2025","unstructured":"Yao, Y., Hsu, C.-F., Lin, J.-H., Xie, H., Lin, T., Huang, Y.-N., Shuai, H.-H., Cheng, W.-H.: The fabrication of reality and fantasy: scene generation with LLM-assisted prompt interpretation. In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds.) Computer Vision\u2013ECCV 2024, pp. 422\u2013438. Springer Nature Switzerland, Cham (2025)"},{"key":"2_CR56","doi-asserted-by":"crossref","unstructured":"Nicenboim, I., Giaccardi, E., Redstr\u00f6m, J.: From explanations to shared understandings of AI. Presented at the Design Research Society Conference, hybrid via Bilbao, Spain, June 25\u2013July 3, 2022 (2022)","DOI":"10.21606\/drs.2022.773"}],"container-title":["Lecture Notes in Computer Science","Design, User Experience, and Usability"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-93236-6_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T21:27:49Z","timestamp":1748640469000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-93236-6_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031932359","9783031932366"],"references-count":56,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-93236-6_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"25 May 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Gothenburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2025.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}