{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T23:07:52Z","timestamp":1769555272928,"version":"3.49.0"},"publisher-location":"Cham","reference-count":54,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031606137","type":"print"},{"value":"9783031606113","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-60611-3_7","type":"book-chapter","created":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T01:06:47Z","timestamp":1717204007000},"page":"87-104","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Why Designers Must Contribute to Responsible AI"],"prefix":"10.1007","author":[{"given":"Aletta","family":"Smits","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2221-4942","authenticated-orcid":false,"given":"Luc","family":"van der Zandt","sequence":"additional","affiliation":[]},{"given":"Koen","family":"van Turnhout","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,6,1]]},"reference":[{"key":"7_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/s11023-022-09611-z","author":"K Alfrink","year":"2022","unstructured":"Alfrink, K., Keller, I., Kortuem, G., Doorn, N.: Contestable AI by design: towards a framework. Minds Mach (Dordr). (2022). https:\/\/doi.org\/10.1007\/s11023-022-09611-z","journal-title":"Minds Mach (Dordr)."},{"key":"7_CR2","unstructured":"Bundy, A., Clutterbuck, R.: Raising the standards of AI products. In: Proceedings of the 9th International Joint Conference on Artificial Intelligence, vol. 2, pp. 1289\u20131294. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA (1985)"},{"key":"7_CR3","unstructured":"Appelo, J.: Accountable Versus Responsible. https:\/\/www.forbes.com\/sites\/jurgenappelo\/2016\/12\/08\/accountable-versus-responsible. Accessed 12 Sept 2023"},{"key":"7_CR4","doi-asserted-by":"publisher","unstructured":"Barredo Arrieta, A., et al.: Explainable artificial intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fusion 58 (2020). https:\/\/doi.org\/10.1016\/j.inffus.2019.12.012","DOI":"10.1016\/j.inffus.2019.12.012"},{"key":"7_CR5","doi-asserted-by":"publisher","unstructured":"Jobin, A., Ienca, M., Vayena, E.: The global landscape of AI ethics guidelines. Nat. Mach. Intell. 1 (2019). https:\/\/doi.org\/10.1038\/s42256-019-0088-2","DOI":"10.1038\/s42256-019-0088-2"},{"key":"7_CR6","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1007\/s43681-022-00179-z","volume":"3","author":"E Kazim","year":"2023","unstructured":"Kazim, E., et al.: Proposed EU AI act\u2014presidency compromise text: select overview and comment on the changes to the proposed regulation. AI Ethics 3, 381\u2013387 (2023). https:\/\/doi.org\/10.1007\/s43681-022-00179-z","journal-title":"AI Ethics"},{"key":"7_CR7","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3081776","author":"M Hildebrandt","year":"2017","unstructured":"Hildebrandt, M.: Privacy as protection of the incomputable self: agonistic machine learning. SSRN Electron. J. (2017). https:\/\/doi.org\/10.2139\/ssrn.3081776","journal-title":"SSRN Electron. J."},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Morley, J., Floridi, L., Kinsey, L., Elhalal, A.: From what to how: an overview of AI ethics tools, methods and research to translate principles into practices. arXiv. abs\/1905.0 (2019)","DOI":"10.2139\/ssrn.3830348"},{"key":"7_CR9","doi-asserted-by":"publisher","unstructured":"Beel, J., Dixon, H.: The \u201cunreasonable\u201d effectiveness of graphical user interfaces for recommender systems. In: UMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization (2021). https:\/\/doi.org\/10.1145\/3450614.3461682","DOI":"10.1145\/3450614.3461682"},{"key":"7_CR10","unstructured":"Hekman, E., Nguyen, D., Stalenhoef, M., Van Turnhout, K.: Towards a pattern library for algorithmic affordances. In: Joint Proceedings of the IUI 2022 Workshops, vol. 3124, pp. 24\u201333 (2022)"},{"key":"7_CR11","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/978-3-319-53676-7_2","volume-title":"E-Commerce and Web Technologies","author":"D Jannach","year":"2017","unstructured":"Jannach, D., Naveed, S., Jugovac, M.: User control in recommender systems: overview and interaction challenges. In: Bridge, D., Stuckenschmidt, H. (eds.) EC-Web 2016. LNBIP, vol. 278, pp. 21\u201333. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-53676-7_2"},{"key":"7_CR12","doi-asserted-by":"publisher","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: Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL\/HCC (2013). https:\/\/doi.org\/10.1109\/VLHCC.2013.6645235","DOI":"10.1109\/VLHCC.2013.6645235"},{"key":"7_CR13","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1007\/978-1-4899-7637-6_10","volume-title":"Recommender Systems Handbook","author":"N Tintarev","year":"2015","unstructured":"Tintarev, N., Masthoff, J.: Explaining recommendations: design and evaluation. In: Ricci, F., Rokach, L., Shapira, B. (eds.) Recommender Systems Handbook, pp. 353\u2013382. Springer, Boston, MA (2015). https:\/\/doi.org\/10.1007\/978-1-4899-7637-6_10"},{"key":"7_CR14","doi-asserted-by":"publisher","unstructured":"Holmquist, L.E.: intelligence on tap: artificial intelligence as a new design material. Interactions 24 (2017). https:\/\/doi.org\/10.1145\/3085571","DOI":"10.1145\/3085571"},{"key":"7_CR15","doi-asserted-by":"publisher","unstructured":"Smits, A., Van Turnhout, K.: Towards a practice-led research agenda for user interface design of recommender systems. In: Abdelnour Nocera, J., L\u00e1rusd\u00f3ttir, M.K., Petrie, H., Piccinno, A., Winckler, M. (eds.) Human-Computer Interaction \u2013 INTERACT 2023. LNCS, vol. 14144, pp. 170\u2013190. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-42286-7_10","DOI":"10.1007\/978-3-031-42286-7_10"},{"key":"7_CR16","unstructured":"Jin, Y., Cardoso, B., Verbert, K.: How do different levels of user control affect cognitive load and acceptance of recommendations? In: CEUR Workshop Proceedings (2017)"},{"key":"7_CR17","doi-asserted-by":"publisher","unstructured":"Nunes, I., Jannach, D.: A systematic review and taxonomy of explanations in decision support and recommender systems (2020). https:\/\/doi.org\/10.1007\/s11257-017-9195-0","DOI":"10.1007\/s11257-017-9195-0"},{"key":"7_CR18","doi-asserted-by":"publisher","unstructured":"Jugovac, M., Jannach, D.: Interacting with recommenders-overview and research directions. ACM Trans. Interact. Intell. Syst. 7 (2017). https:\/\/doi.org\/10.1145\/3001837","DOI":"10.1145\/3001837"},{"key":"7_CR19","doi-asserted-by":"publisher","unstructured":"Kulesza, T., Burnett, M., Wong, W.K., Stumpf, S.: Principles of explanatory debugging to personalize interactive machine learning. In: International Conference on Intelligent User Interfaces, Proceedings IUI (2015). https:\/\/doi.org\/10.1145\/2678025.2701399","DOI":"10.1145\/2678025.2701399"},{"key":"7_CR20","doi-asserted-by":"publisher","unstructured":"Ngo, T., Kunkel, J., Ziegler, J.: Exploring mental models for transparent and controllable recommender systems: a qualitative study. In: UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (2020). https:\/\/doi.org\/10.1145\/3340631.3394841","DOI":"10.1145\/3340631.3394841"},{"key":"7_CR21","doi-asserted-by":"publisher","unstructured":"Verbert, K., Parra, D., Brusilovsky, P., Duval, E.: Visualizing recommendations to support exploration, transparency and controllability. In: International Conference on Intelligent User Interfaces, Proceedings IUI (2013). https:\/\/doi.org\/10.1145\/2449396.2449442","DOI":"10.1145\/2449396.2449442"},{"key":"7_CR22","doi-asserted-by":"publisher","unstructured":"K\u00f6chling, A., Wehner, M.C.: Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development. Bus. Res. 13 (2020). https:\/\/doi.org\/10.1007\/s40685-020-00134-w","DOI":"10.1007\/s40685-020-00134-w"},{"key":"7_CR23","doi-asserted-by":"publisher","unstructured":"Hoffmann, A.L.: Where fairness fails: data, algorithms, and the limits of antidiscrimination discourse. Inf. Commun. Soc. 22 (2019). https:\/\/doi.org\/10.1080\/1369118X.2019.1573912","DOI":"10.1080\/1369118X.2019.1573912"},{"key":"7_CR24","doi-asserted-by":"publisher","unstructured":"Chin, J.Y., Chen, Y., Cong, G.: The datasets dilemma. In: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, pp. 141\u2013149. ACM, New York, NY, USA (2022). https:\/\/doi.org\/10.1145\/3488560.3498519","DOI":"10.1145\/3488560.3498519"},{"key":"7_CR25","unstructured":"Angwin, J., Larson, J., Mattu, S., Kirchner, L.: Machine Bias: There\u2019s software used across the country to predict future criminals. And it\u2019s biased against blacks. ProPublica. (2016)"},{"key":"7_CR26","doi-asserted-by":"publisher","unstructured":"Bozdag, E.: Bias in algorithmic filtering and personalization. Ethics Inf. Technol. 15 (2013). https:\/\/doi.org\/10.1007\/s10676-013-9321-6","DOI":"10.1007\/s10676-013-9321-6"},{"key":"7_CR27","doi-asserted-by":"publisher","unstructured":"Lex, E., Kowald, D., Seitlinger, P., Tran, T.N.T., Felfernig, A., Schedl, M.: Psychology-informed recommender systems (2021). https:\/\/doi.org\/10.1561\/1500000090","DOI":"10.1561\/1500000090"},{"key":"7_CR28","doi-asserted-by":"publisher","unstructured":"Pagano, T.P., et al.: Bias and unfairness in machine learning models: a systematic review on datasets, tools, fairness metrics, and identification and mitigation methods (2023). https:\/\/doi.org\/10.3390\/bdcc7010015","DOI":"10.3390\/bdcc7010015"},{"key":"7_CR29","doi-asserted-by":"publisher","unstructured":"Katell, M., et al.: Toward situated interventions for algorithmic equity: lessons from the field. In: FAT* 2020 - Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (2020). https:\/\/doi.org\/10.1145\/3351095.3372874","DOI":"10.1145\/3351095.3372874"},{"key":"7_CR30","doi-asserted-by":"publisher","unstructured":"Franssen, M.: Design for values and operator roles in sociotechnical systems. In: Handbook of Ethics, Values, and Technological Design: Sources, Theory, Values and Application Domains (2015). https:\/\/doi.org\/10.1007\/978-94-007-6970-0_8","DOI":"10.1007\/978-94-007-6970-0_8"},{"key":"7_CR31","doi-asserted-by":"publisher","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, (2021). https:\/\/doi.org\/10.1016\/j.jrt.2021.100017","DOI":"10.1016\/j.jrt.2021.100017"},{"key":"7_CR32","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.101805","author":"S Ali","year":"2023","unstructured":"Ali, S., et al.: Explainable artificial intelligence (XAI): what we know and what is left to attain trustworthy artificial intelligence. Inf. Fusion (2023). https:\/\/doi.org\/10.1016\/j.inffus.2023.101805","journal-title":"Inf. Fusion"},{"key":"7_CR33","volume-title":"Doe zelf eens normaal: Menselijk recht in tijden van datasturing en natuurgeweld","author":"M Februari","year":"2023","unstructured":"Februari, M.: Doe zelf eens normaal: Menselijk recht in tijden van datasturing en natuurgeweld. Prometheus, Amsterdam (2023)"},{"key":"7_CR34","doi-asserted-by":"crossref","unstructured":"Aflrink, K., Keller, I., Yurrita Semperena, M., Bulygin, D., Kortuem, G., Doorn, N.: Envisioning contestability loops: evaluating the agonistic arena as a generative metaphor for public AI (2024, submitted)","DOI":"10.1016\/j.sheji.2024.03.003"},{"key":"7_CR35","doi-asserted-by":"publisher","unstructured":"Tsai, C.H., Brusilovsky, P.: Explaining recommendations in an interactive hybrid social recommender. In: International Conference on Intelligent User Interfaces, Proceedings IUI (2019). https:\/\/doi.org\/10.1145\/3301275.3302318","DOI":"10.1145\/3301275.3302318"},{"key":"7_CR36","unstructured":"Smits, A., et al.: Assessing the Utility of an interaction qualities framework in systematizing the evaluation of user control. In: Bramwell-Dicks, A., Evans, A., Nocera, J., Petrie, H., Winckler, M. (eds.) Submitted to INTERACT2023 Workshop Proceedings Selected Papers. Interact 2023, York (2024)"},{"key":"7_CR37","doi-asserted-by":"crossref","unstructured":"Bartels, E., et al.: Exploring categorisations of algorithmic affordances in graphical user interfaces of recommender systems. In: Bramwell-Dicks, A., Evans, A., Norcera, J., Petrie, H., Winckler, M. (eds.) Submitted to INTERACT2023 Workshop Proceedings Selected Papers. Springer, Cham (2024)","DOI":"10.1007\/978-3-031-61698-3_16"},{"key":"7_CR38","unstructured":"Kunkel, J., Donkers, T., Barbu, C.M., Ziegler, J.: Trust-related effects of expertise and similarity cues in human-generated recommendations. In: CEUR Workshop Proceedings (2018)"},{"key":"7_CR39","doi-asserted-by":"publisher","unstructured":"Chiou, E.K., Lee, J.D.: Trusting automation: designing for responsivity and resilience. Hum. Factors 65 (2023). https:\/\/doi.org\/10.1177\/00187208211009995","DOI":"10.1177\/00187208211009995"},{"key":"7_CR40","doi-asserted-by":"publisher","unstructured":"Shneiderman, B.: Human-centered artificial intelligence: reliable, safe & trustworthy. Int. J. Hum. Comput. Interact. 36 (2020). https:\/\/doi.org\/10.1080\/10447318.2020.1741118","DOI":"10.1080\/10447318.2020.1741118"},{"key":"7_CR41","unstructured":"Smits, A., Bartels, E., Van Turnhout, K.: Tried-and-tested algorithmic affordances: a systematic literature review of user control mechanisms in recommender systems\u2019 interfaces. (in preparation)"},{"key":"7_CR42","doi-asserted-by":"publisher","unstructured":"Gunawardana, A., Shani, G., Yogev, S.: Evaluating recommender systems. In: Ricci, F., Rokach, L., Shapira, B. (eds.) Recommender Systems Handbook, pp. 547\u2013601. Springer US, New York, NY (2022). https:\/\/doi.org\/10.1007\/978-1-0716-2197-4_15","DOI":"10.1007\/978-1-0716-2197-4_15"},{"key":"7_CR43","doi-asserted-by":"publisher","unstructured":"Murphy-Hill, E., Murphy, G.C.: Recommendation delivery: getting the user interface just right. In: Robillard, M., Maalej, W., Walker, R., Zimmermann, T. (eds.) Recommendation Systems in Software Engineering, pp. 223\u2013242. Springer, Heidelberg (2014). https:\/\/doi.org\/10.1007\/978-3-642-45135-5_9","DOI":"10.1007\/978-3-642-45135-5_9"},{"key":"7_CR44","unstructured":"Ghori, M.F., Dehpanah, A., Gemmell, J., Qahri-Saremi, H., Mobasher, B.: Does the user have a theory of the recommender? A pilot study. In: CEUR Workshop Proceedings (2019)"},{"key":"7_CR45","doi-asserted-by":"publisher","unstructured":"Norman, D.: Some observations on mental models. In: Gentner, D. and Stevens, A. (eds.) Mental Models, pp. 7\u201314. Psychology Press, New York (1983). https:\/\/doi.org\/10.4324\/9781315802725-5","DOI":"10.4324\/9781315802725-5"},{"key":"7_CR46","doi-asserted-by":"publisher","unstructured":"Kulesza, T., Stumpf, S., Burnett, M., Kwan, I.: Tell me More? The effects of mental model soundness on personalizing an intelligent agent. https:\/\/doi.org\/10.1145\/2207676.2207678","DOI":"10.1145\/2207676.2207678"},{"key":"7_CR47","doi-asserted-by":"publisher","unstructured":"Zhu, Q.: Political implications of disconnective practices on social media: unfriending, unfollowing, and blocking. In: Research Handbook on Social Media and Society, pp. 135\u2013147. Edward Elgar Publishing (2024). https:\/\/doi.org\/10.4337\/9781800377059.00021","DOI":"10.4337\/9781800377059.00021"},{"key":"7_CR48","doi-asserted-by":"publisher","unstructured":"Smits, A., Bartels, E., Detweiler, C., van Turnhout, K.: Algorithmic affordances in recommender interfaces. In: Interact 2023: Design for equality and justice, pp. 605\u2013609 (2023). https:\/\/doi.org\/10.1007\/978-3-031-42293-5_80","DOI":"10.1007\/978-3-031-42293-5_80"},{"key":"7_CR49","doi-asserted-by":"publisher","unstructured":"Lenz, E., Hassenzahl, M., Diefenbach, S.: Aesthetic interaction as fit between interaction attributes and experiential qualities. New Ideas Psychol. 47 (2017). https:\/\/doi.org\/10.1016\/j.newideapsych.2017.03.010","DOI":"10.1016\/j.newideapsych.2017.03.010"},{"key":"7_CR50","doi-asserted-by":"publisher","unstructured":"Ooge, J., Kato, S., Verbert, K.: Explaining recommendations in e-learning: effects on adolescents\u2019 trust. In: International Conference on Intelligent User Interfaces, Proceedings IUI, pp. 93\u2013105. Association for Computing Machinery (2022). https:\/\/doi.org\/10.1145\/3490099.3511140","DOI":"10.1145\/3490099.3511140"},{"key":"7_CR51","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/978-3-031-42286-7_8","volume-title":"INTERACT 2023","author":"T Kleemann","year":"2023","unstructured":"Kleemann, T., Ziegler, J.: Blending conversational product advisors and faceted filtering in a graph-based approach. In: Abdelnour Nocera, J., Krist\u00edn L\u00e1rusd\u00f3ttir, M., Petrie, H., Piccinno, A., Winckler, M. (eds.) INTERACT 2023. LNCS, vol. 14144, pp. 137\u2013159. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-42286-7_8"},{"key":"7_CR52","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1145\/1806491.1806494","volume":"17","author":"DA Norman","year":"2010","unstructured":"Norman, D.A.: The research-practice gap. Interactions 17, 9\u201312 (2010). https:\/\/doi.org\/10.1145\/1806491.1806494","journal-title":"Interactions"},{"key":"7_CR53","doi-asserted-by":"publisher","unstructured":"Shneiderman, B.: Bridging the gap between ethics and practice: guidelines for reliable, safe, and trustworthy human-centered AI systems. ACM Trans. Interact. Intell. Syst. 10 (2020). https:\/\/doi.org\/10.1145\/3419764","DOI":"10.1145\/3419764"},{"key":"7_CR54","unstructured":"Smeenk, W., Zielhuis, M., Van Turnhout, K.: Understanding the research practice gap in design research: a comparison of four perspectives (2023)"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in HCI"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-60611-3_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,20]],"date-time":"2024-11-20T22:18:48Z","timestamp":1732141128000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-60611-3_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031606137","9783031606113"],"references-count":54,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-60611-3_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"1 June 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Aletta Smits and Koen van Turnhout have no competing interests to declare that are relevant to the content of this article. Luc van der Zandt is currently employed at Drillster.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"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":"Washington DC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2024.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}