{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T15:49:07Z","timestamp":1743004147187,"version":"3.40.3"},"publisher-location":"Cham","reference-count":51,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030902377"},{"type":"electronic","value":"9783030902384"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-90238-4_14","type":"book-chapter","created":{"date-parts":[[2021,11,19]],"date-time":"2021-11-19T12:11:14Z","timestamp":1637323874000},"page":"179-197","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Expectation, Perception, and Accuracy in\u00a0News Recommender Systems: Understanding the Relationships of User Evaluation Criteria Using Direct Feedback"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1602-8369","authenticated-orcid":false,"given":"Poornima","family":"Belavadi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6233-3116","authenticated-orcid":false,"given":"Laura","family":"Burbach","sequence":"additional","affiliation":[]},{"given":"Stefan","family":"Ahlers","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6105-4729","authenticated-orcid":false,"given":"Martina","family":"Ziefle","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6214-1461","authenticated-orcid":false,"given":"Andr\u00e9","family":"Calero Valdez","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,11,20]]},"reference":[{"issue":"6","key":"14_CR1","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1109\/TKDE.2005.99","volume":"17","author":"G Adomavicius","year":"2005","unstructured":"Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734\u2013749 (2005). ISSN 1041-4347","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"5","key":"14_CR2","doi-asserted-by":"publisher","first-page":"985","DOI":"10.1108\/K-06-2017-0196","volume":"47","author":"F Alyari","year":"2018","unstructured":"Alyari, F., Navimipour, N.J.: Recommender systems: a systematic review of the state of the art literature and suggestions for future research. Kybernetes 47(5), 985\u20131017 (2018)","journal-title":"Kybernetes"},{"doi-asserted-by":"crossref","unstructured":"Atoum, J. O., Yakti, I.M.: A framework for real time news recommendations. In: Proceedings - International Conference on New Trends in Computing Sciences, ICTCS 2017, NJ 08854, USA, vol. 2018-Janua, pp. 89\u201393. Institute of Electrical and Electronics Engineers (IEEE) (2017)","key":"14_CR3","DOI":"10.1109\/ICTCS.2017.17"},{"unstructured":"Beck, P., et al.: A system for online news recommendations in real-time with apache mahout. In: Working Notes of the 8th International Conference of the CLEF Initiative, vol. 1866. CEUR Workshop Proceedings (2017)","key":"14_CR4"},{"key":"14_CR5","first-page":"684","volume":"9","author":"G Beier","year":"1999","unstructured":"Beier, G.: Kontroll\u00fcberzeugungen im umgang mit technik. Rep. Psychol. 9, 684\u2013693 (1999)","journal-title":"Rep. Psychol."},{"doi-asserted-by":"crossref","unstructured":"Bogers, T., van den Bosch, A.: Comparing and evaluating information retrieval algorithms for news recommendation. In: Proceedings of the 2007 ACM Conference on Recommender Systems, RecSys 2007, pp. 141\u2013144. Association for Computing Machinery (2007). ISBN 9781595937308","key":"14_CR6","DOI":"10.1145\/1297231.1297256"},{"doi-asserted-by":"crossref","unstructured":"Burbach, L., et al.: User preferences in recommendation algorithms: the influence of user diversity, trust, and product category on privacy perceptions in recommender algorithms. In: Proceedings of the 12th ACM Conference on Recommender Systems, RecSys 2018, pp. 306\u2013310. Association for Computing Machinery (2018). ISBN 9781450359016","key":"14_CR7","DOI":"10.1145\/3240323.3240393"},{"issue":"4","key":"14_CR8","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1023\/A:1021240730564","volume":"12","author":"R Burke","year":"2002","unstructured":"Burke, R.: Hybrid recommender systems: survey and experiments. User Model. User-Adapt. Interact. 12(4), 331\u2013370 (2002). ISSN 0924-1868","journal-title":"User Model. User-Adapt. Interact."},{"unstructured":"Valdez, A.C., Ziefle, M., Verbert, K.: HCI for recommender systems: the past, the present and the future. In: Proceedings of the 10th ACM Conference on Recommender Systems, RecSys 2016, pp. 123\u2013126. Association for Computing Machinery (2016). ISBN 9781450340359","key":"14_CR9"},{"key":"14_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1007\/978-3-642-40477-1_21","volume-title":"Human-Computer Interaction \u2013 INTERACT 2013","author":"P Cremonesi","year":"2013","unstructured":"Cremonesi, P., Garzotto, F., Turrin, R.: User-centric vs. system-centric evaluation of recommender systems. In: Kotz\u00e9, P., Marsden, G., Lindgaard, G., Wesson, J., Winckler, M. (eds.) INTERACT 2013. LNCS, vol. 8119, pp. 334\u2013351. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-40477-1_21"},{"issue":"6","key":"14_CR11","doi-asserted-by":"publisher","first-page":"3323","DOI":"10.1007\/s11042-014-2437-9","volume":"75","author":"T De Pessemier","year":"2015","unstructured":"De Pessemier, T., et al.: A user-centric evaluation of context-aware recommendations for a mobile news service. Multimed. Tools Appl. 75(6), 3323\u20133351 (2015)","journal-title":"Multimed. Tools Appl."},{"key":"14_CR12","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1080\/17517575.2010.541287","volume":"5","author":"L Duan","year":"2011","unstructured":"Duan, L., Street, N., Xu, E.: Healthcare information systems: data mining methods in the creation of a clinical recommender system. Enterp. Inf. Syst. 5, 169\u2013181 (2011)","journal-title":"Enterp. Inf. Syst."},{"key":"14_CR13","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1016\/j.future.2017.09.015","volume":"78","author":"M Eirinaki","year":"2018","unstructured":"Eirinaki, M., et al.: Recommender systems for large-scale social networks: a review of challenges and solutions. Future Gener. Comput. Syst. 78, 413\u2013418 (2018)","journal-title":"Future Gener. Comput. Syst."},{"issue":"2","key":"14_CR14","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1561\/1100000009","volume":"4","author":"MD Ekstrand","year":"2011","unstructured":"Ekstrand, M.D., Riedl, J.T., Konstan, J.A.: Collaborative filtering recommender systems. Found. Trends Hum.-Comput. Interact. 4(2), 81\u2013173 (2011). ISSN 1551-3955","journal-title":"Found. Trends Hum.-Comput. Interact."},{"key":"14_CR15","doi-asserted-by":"publisher","first-page":"1149","DOI":"10.3758\/BRM.41.4.1149","volume":"41","author":"F Faul","year":"2009","unstructured":"Faul, F., et al.: Statistical power analyses using g*power 3.1: tests for correlation and regression analyses. Behav. Res. Methods 41, 1149\u201360 (2009)","journal-title":"Behav. Res. Methods"},{"key":"14_CR16","first-page":"1","volume":"PP","author":"S Fazeli","year":"2017","unstructured":"Fazeli, S., et al.: User-centric evaluation of recommender systems in social learning platforms: accuracy is just the tip of the iceberg. IEEE Trans. Learn. Technol. PP, 1 (2017)","journal-title":"IEEE Trans. Learn. Technol."},{"doi-asserted-by":"crossref","unstructured":"Garcin, F., et al.: Offline and online evaluation of news recommender systems at swissinfo.ch. In: Proceedings of the 8th ACM Conference on Recommender Systems, RecSys 2014, pp. 169\u2013176. Association for Computing Machinery (2014). ISBN 9781450326681","key":"14_CR17","DOI":"10.1145\/2645710.2645745"},{"doi-asserted-by":"crossref","unstructured":"Ge, M., Delgado-Battenfeld, C., Jannach, D.: Beyond accuracy: evaluating recommender systems by coverage and serendipity. In: Proceedings of the Fourth ACM Conference on Recommender Systems, RecSys 2010, pp. 257\u2013260. Association for Computing Machinery (2010). ISBN 9781605589060","key":"14_CR18","DOI":"10.1145\/1864708.1864761"},{"unstructured":"Hahsler, M., Vereet, B., Hahsler, M.M.: Package \u2018recommenderlab\u2019 (2019)","key":"14_CR19"},{"issue":"9","key":"14_CR20","first-page":"2677","volume":"96","author":"M Hanafi","year":"2018","unstructured":"Hanafi, M., Suryana, N., Basari, A.S.: An understanding and approach solution for cold start problem associated with recommender system: a literature review. J. Theor. Appl. Inf. Technol. 96(9), 2677\u20132695 (2018)","journal-title":"J. Theor. Appl. Inf. Technol."},{"issue":"1","key":"14_CR21","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1145\/963770.963775","volume":"22","author":"Z Huang","year":"2004","unstructured":"Huang, Z., Chen, H., Zeng, D.: Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering. ACM Trans. Inf. Syst. 22(1), 116\u2013142 (2004). ISSN 1046-8188","journal-title":"ACM Trans. Inf. Syst."},{"key":"14_CR22","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1108\/IJWIS-12-2016-0073","volume":"13","author":"Y Ishida","year":"2017","unstructured":"Ishida, Y., Uchiya, T., Takumi, I.: Design and evaluation of a movie recommendation system showing a review for evoking interested. Int. J. Web Inf. Syst. 13, 72\u201384 (2017). https:\/\/doi.org\/10.1108\/IJWIS-12-2016-0073","journal-title":"Int. J. Web Inf. Syst."},{"key":"14_CR23","first-page":"261","volume":"16","author":"FO Isinkaye","year":"2015","unstructured":"Isinkaye, F.O., Folajimi, Y., Ojokoh, B.A.: Recommendation systems: principles, methods and evaluation. Egypt. Inf. J. 16, 261\u2013273 (2015)","journal-title":"Egypt. Inf. J."},{"doi-asserted-by":"publisher","unstructured":"Karimi, M., Jannach, D., Jugovac, M.: News recommender systems - survey and roads ahead. Inf. Process. Manag. 54(6), 1203\u20131227 (2018). ISSN 0306-4573. https:\/\/doi.org\/10.1016\/j.ipm.2018.04.008. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S030645731730153X","key":"14_CR24","DOI":"10.1016\/j.ipm.2018.04.008"},{"doi-asserted-by":"publisher","unstructured":"Lommatzsch, A.: Real-time news recommendation using context-aware ensembles. In: de Rijke, M., et al. (eds.) ECIR 2014. LNCS, vol. 8416, pp. 51\u201362. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-06028-6_5","key":"14_CR25","DOI":"10.1007\/978-3-319-06028-6_5"},{"key":"14_CR26","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1007\/978-3-642-33486-3_4","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"E Kirshenbaum","year":"2012","unstructured":"Kirshenbaum, E., Forman, G., Dugan, M.: A live comparison of methods for personalized article recommendation at Forbes.com. In: Flach, P.A., De Bie, T., Cristianini, N. (eds.) ECML PKDD 2012. LNCS (LNAI), vol. 7524, pp. 51\u201366. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-33486-3_4"},{"issue":"4\u20135","key":"14_CR27","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1007\/s11257-011-9118-4","volume":"22","author":"BP Knijnenburg","year":"2012","unstructured":"Knijnenburg, B.P., Willemsen, M.C., Gantner, Z., Soncu, H., Newell, C.: Explaining the user experience of recommender systems. User Model. User-Adapt. Interact. 22(4\u20135), 441\u2013504 (2012). https:\/\/doi.org\/10.1007\/s11257-011-9118-4. ISSN 0924-1868","journal-title":"User Model. User-Adapt. Interact."},{"key":"14_CR28","doi-asserted-by":"publisher","first-page":"08","DOI":"10.1016\/j.knosys.2016.08.014","volume":"111","author":"D Kotkov","year":"2016","unstructured":"Kotkov, D., Wang, S., Veijalainen, J.: A survey of serendipity in recommender systems. Knowl.-Based Syst. 111, 08 (2016). https:\/\/doi.org\/10.1016\/j.knosys.2016.08.014","journal-title":"Knowl.-Based Syst."},{"key":"14_CR29","doi-asserted-by":"publisher","first-page":"754","DOI":"10.1007\/s11390-011-0175-2","volume":"26","author":"L Li","year":"2011","unstructured":"Li, L., et al.: Personalized news recommendation: land an experimental investigation. J. Comput. Sci. Technol. 26, 754\u2013766 (2011). https:\/\/doi.org\/10.1007\/s11390-011-0175-2","journal-title":"J. Comput. Sci. Technol."},{"issue":"1","key":"14_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.physrep.2012.02.006","volume":"519","author":"L L\u00fc","year":"2012","unstructured":"L\u00fc, L., et al.: Recommender systems. Phys. Rep. 519(1), 1\u201349 (2012). ISSN 0370-1573","journal-title":"Phys. Rep."},{"doi-asserted-by":"publisher","unstructured":"McNee, S.M., Riedl, J., Konstan, J.A.: Being accurate is not enough: How accuracy metrics have hurt recommender systems. In CHI 2006 Extended Abstracts on Human Factors in Computing Systems, CHI EA 2006, pp. 1097\u20131101. Association for Computing Machinery (2006). ISBN 1595932984. https:\/\/doi.org\/10.1145\/1125451.1125659","key":"14_CR31","DOI":"10.1145\/1125451.1125659"},{"doi-asserted-by":"crossref","unstructured":"Phelan, O., McCarthy, K., Smyth, B.: Using Twitter to recommend real-time topical news. In: Proceedings of the Third ACM Conference on Recommender Systems, RecSys 2009, pp. 385\u2013388. Association for Computing Machinery (2009). ISBN 9781605584355","key":"14_CR32","DOI":"10.1145\/1639714.1639794"},{"doi-asserted-by":"publisher","unstructured":"Pu, P., Chen, L., Hu, R.: A user-centric evaluation framework for recommender systems. In: Proceedings of the Fifth ACM Conference on Recommender Systems, RecSys 2011, pp. 157\u2013164. Association for Computing Machinery (2011). ISBN 9781450306836. https:\/\/doi.org\/10.1145\/2043932.2043962","key":"14_CR33","DOI":"10.1145\/2043932.2043962"},{"issue":"4\u20135","key":"14_CR34","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1007\/s11257-011-9115-7","volume":"22","author":"P Pu","year":"2012","unstructured":"Pu, P., Chen, L., Hu, R.: Evaluating recommender systems from the user\u2019s perspective: Survey of the state of the art. User Model. User-Adapt. Interact. 22(4\u20135), 317\u2013355 (2012). https:\/\/doi.org\/10.1007\/s11257-011-9115-7. ISSN 0924-1868","journal-title":"User Model. User-Adapt. Interact."},{"unstructured":"Remus, R., Quasthoff, U., Heyer, G.: Sentiws - a publicly available German-language resource for sentiment analysis. In: Proceedings of the 7th International Language Resources and Evaluation (LREC 2010), pp. 1168\u20131171 (2010)","key":"14_CR35"},{"unstructured":"Revelle, W.R.: Psych: procedures for personality and psychological research (2017)","key":"14_CR36"},{"doi-asserted-by":"publisher","unstructured":"Schabus, D., Skowron, M., Trapp, M.: One million posts: a data set of German online discussions. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017, pp. 1241\u20131244. Association for Computing Machinery (2017). ISBN 9781450350228. https:\/\/doi.org\/10.1145\/3077136.3080711","key":"14_CR37","DOI":"10.1145\/3077136.3080711"},{"doi-asserted-by":"publisher","unstructured":"Schafer, J.B., Frankowski, D., Herlocker, J., Sen, S.: Collaborative filtering recommender systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) The Adaptive Web. LNCS, vol. 4321, pp. 291\u2013324. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-72079-9_9. ISBN 9783540720782","key":"14_CR38","DOI":"10.1007\/978-3-540-72079-9_9"},{"key":"14_CR39","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1007\/s13735-018-0154-2","volume":"7","author":"M Schedl","year":"2018","unstructured":"Schedl, M., et al.: Current challenges and visions in music recommender systems research. Int. J. Multimed. Inf. Retrieval 7, 95\u2013116 (2018)","journal-title":"Int. J. Multimed. Inf. Retrieval"},{"issue":"1","key":"14_CR40","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2556270","volume":"47","author":"Y Shi","year":"2014","unstructured":"Shi, Y., Larson, M., Hanjalic, A.: Collaborative filtering beyond the user-item matrix: a survey of the state of the art and future challenges. ACM Comput. Surv. 47(1), 1\u201345 (2014). https:\/\/doi.org\/10.1145\/2556270. ISSN 0360-0300","journal-title":"ACM Comput. Surv."},{"issue":"3","key":"14_CR41","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1109\/MIC.2017.72","volume":"21","author":"B Smith","year":"2017","unstructured":"Smith, B., Linden, G.: Two decades of recommender systems at amazon.com. IEEE Internet Comput. 21(3), 12\u201318 (2017). ISSN 1089-7801","journal-title":"IEEE Internet Comput."},{"issue":"4","key":"14_CR42","doi-asserted-by":"publisher","first-page":"132","DOI":"10.25103\/jestr.104.18","volume":"10","author":"SS Sohail","year":"2017","unstructured":"Sohail, S.S., Siddiqui, J., Ali, R.: Classifications of recommender systems: a review. J. Eng. Sci. Technol. Rev. 10(4), 132\u2013153 (2017)","journal-title":"J. Eng. Sci. Technol. Rev."},{"doi-asserted-by":"crossref","unstructured":"Son, L.H.: Dealing with the new user cold-start problem in recommender systems: a comparative review. Inf. Syst. 58, 87\u2013104 (2016). http:\/\/dblp.uni-trier.de\/db\/journals\/is\/is58.html#Son16","key":"14_CR43","DOI":"10.1016\/j.is.2014.10.001"},{"key":"14_CR44","doi-asserted-by":"publisher","first-page":"179","DOI":"10.2298\/CSIS171217012S","volume":"16","author":"M Svrcek","year":"2019","unstructured":"Svrcek, M., Kompan, M., Bielikova, M.: Towards understandable personalized recommendations: Hybrid explanations. Comput. Sci. Inf. Syst. 16, 179\u2013203 (2019). https:\/\/doi.org\/10.2298\/CSIS171217012S","journal-title":"Comput. Sci. Inf. Syst."},{"key":"14_CR45","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1093\/comjnl\/bxx056","volume":"61","author":"M Taghavi","year":"2018","unstructured":"Taghavi, M., et al.: New insights towards developing recommender systems. Comput. J. 61, 319\u2013348 (2018). https:\/\/doi.org\/10.1093\/comjnl\/bxx056","journal-title":"Comput. J."},{"issue":"2","key":"14_CR46","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1504\/IJWET.2018.092831","volume":"13","author":"A Taneja","year":"2018","unstructured":"Taneja, A., Arora, A.: Recommendation research trends: review, approaches and open issues. Int. J. Web Eng. Technol. 13(2), 123\u2013186 (2018)","journal-title":"Int. J. Web Eng. Technol."},{"key":"14_CR47","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.ijhcs.2018.04.003","volume":"121","author":"AC Valdez","year":"2019","unstructured":"Valdez, A.C., Ziefle, M.: The users\u2019 perspective on the privacy-utility trade-offs in health recommender systems. Int. J. Hum.-Comput. Stud. 121, 108\u2013121 (2019). ISSN 1071-5819. Advances in Computer-Human Interaction for Recommender Systems","journal-title":"Int. J. Hum.-Comput. Stud."},{"doi-asserted-by":"crossref","unstructured":"Wang, J., de Vries, A.P., Reinders, M.J.T.: Unifying user-based and item-based collaborative filtering approaches by similarity fusion. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2006, pp. 501\u2013508. Association for Computing Machinery (2006). ISBN 1595933697","key":"14_CR48","DOI":"10.1145\/1148170.1148257"},{"issue":"2","key":"14_CR49","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1007\/s10462-011-9222-1","volume":"37","author":"X Zhou","year":"2012","unstructured":"Zhou, X., et al.: The state-of-the-art in personalized recommender systems for social networking. Artif. Intell. Rev. 37(2), 119\u2013132 (2012). ISSN 0269-2821","journal-title":"Artif. Intell. Rev."},{"issue":"4","key":"14_CR50","doi-asserted-by":"publisher","first-page":"717","DOI":"10.1016\/j.jcss.2014.11.016","volume":"81","author":"Xun Zhou","year":"2015","unstructured":"Zhou, Xun, et al.: SVD-based incremental approaches for recommender systems. J. Comput. Syst. Sci. 81(4), 717\u2013733 (2015). https:\/\/doi.org\/10.1016\/j.jcss.2014.11.016","journal-title":"J. Comput. Syst. Sci."},{"doi-asserted-by":"crossref","unstructured":"\u00d6zg\u00f6bek, O., Gulla, J., Erdur, C.: A survey on challenges and methods in news recommendation. In: WEBIST 2014 - Proceedings of the 10th International Conference on Web Information Systems and Technologies, vol. 2, pp. 278\u2013285, January 2014","key":"14_CR51","DOI":"10.5220\/0004844202780285"}],"container-title":["Lecture Notes in Computer Science","HCI International 2021 - Late Breaking Papers: Design and User Experience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-90238-4_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T17:26:54Z","timestamp":1726162014000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-90238-4_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030902377","9783030902384"],"references-count":51,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-90238-4_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"20 November 2021","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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 July 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2021.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}