{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T13:27:27Z","timestamp":1783430847198,"version":"3.54.6"},"reference-count":49,"publisher":"Association for Computing Machinery (ACM)","issue":"5","license":[{"start":{"date-parts":[[2024,4,29]],"date-time":"2024-04-29T00:00:00Z","timestamp":1714348800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100006751","name":"U.S. Army","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100006751","id-type":"DOI","asserted-by":"crossref"}]},{"name":"United States Government"},{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"crossref","award":["EP\/V025708\/1"],"award-info":[{"award-number":["EP\/V025708\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Inf. Syst."],"published-print":{"date-parts":[[2024,9,30]]},"abstract":"<jats:p>\n            We present two empirical studies to investigate users\u2019 expectations and behaviours when using digital assistants, such as Alexa and Google Home, in a kitchen context: First, a survey (N = 200) queries participants on their expectations for the kinds of information that such systems should be able to provide. While consensus exists on expecting information about cooking steps and processes, younger participants who enjoy cooking express a higher likelihood of expecting details on food history or the science of cooking. In a follow-up Wizard-of-Oz study (N = 48), users were guided through the steps of a recipe either by an\n            <jats:italic>active<\/jats:italic>\n            wizard that alerted participants to information it could provide or a\n            <jats:italic>passive<\/jats:italic>\n            wizard who only answered questions that were provided by the user. The\n            <jats:italic>active<\/jats:italic>\n            policy led to almost double the number of conversational utterances and 1.5 times more knowledge-related user questions compared to the\n            <jats:italic>passive<\/jats:italic>\n            policy. Also, it resulted in 1.7 times more knowledge communicated than the\n            <jats:italic>passive<\/jats:italic>\n            policy. We discuss the findings in the context of related work and reveal implications for the design and use of such assistants for cooking and other purposes such as DIY and craft tasks, as well as the lessons we learned for evaluating such systems.\n          <\/jats:p>","DOI":"10.1145\/3649500","type":"journal-article","created":{"date-parts":[[2024,3,15]],"date-time":"2024-03-15T12:03:11Z","timestamp":1710504191000},"page":"1-29","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":18,"title":["Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing Assistant"],"prefix":"10.1145","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5982-7104","authenticated-orcid":false,"given":"Alexander","family":"Frummet","sequence":"first","affiliation":[{"name":"University of Regensburg, Regensburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9206-9096","authenticated-orcid":false,"given":"Alessandro","family":"Speggiorin","sequence":"additional","affiliation":[{"name":"University of Glasgow, Glasgow, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5791-0641","authenticated-orcid":false,"given":"David","family":"Elsweiler","sequence":"additional","affiliation":[{"name":"University of Regensburg, Regensburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5987-5686","authenticated-orcid":false,"given":"Anton","family":"Leuski","sequence":"additional","affiliation":[{"name":"University of Southern California, Los Angeles, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2422-8651","authenticated-orcid":false,"given":"Jeff","family":"Dalton","sequence":"additional","affiliation":[{"name":"University of Edinburgh, Edinburgh, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,4,29]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","unstructured":"Mohammad Aliannejadi Leif Azzopardi Hamed Zamani Evangelos Kanoulas Paul Thomas and Nick Craswell. 2021. Analysing Mixed Initiatives and Search Strategies during Conversational Search. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM\u201921). Association for Computing Machinery New York NY USA 16\u201326. 10.1145\/3459637.3482231","DOI":"10.1145\/3459637.3482231"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/3176349.3176380"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-99739-7_4"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1145\/3343413.3377967"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","unstructured":"Ethan A. Chi Ashwin Paranjape Abigail See Caleb Chiam Trenton Chang Kathleen Kenealy Swee Kiat Lim Amelia Hardy Chetanya Rastogi Haojun Li Alexander Iyabor Yutong He Hari Sowrirajan Peng Qi Kaushik Ram Sadagopan Nguyet Minh Phu Dilara Soylu Jillian Tang Avanika Narayan Giovanni Campagna and Christopher Manning. 2022. Neural generation meets real people: building a social informative open-domain dialogue agent. In Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue Association for Computational Linguistics Edinburgh 376\u2013395. DOI:10.18653\/v1\/2022.sigdial-1.37","DOI":"10.18653\/v1\/2022.sigdial-1.37"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/3576840.3578302"},{"key":"e_1_3_3_8_2","first-page":"3514","volume-title":"Proceedings of the 29th International Conference on Computational Linguistics","author":"Choi Jason Ingyu","year":"2022","unstructured":"Jason Ingyu Choi, Saar Kuzi, Nikhita Vedula, Jie Zhao, Giuseppe Castellucci, Marcus Collins, Shervin Malmasi, Oleg Rokhlenko, and Eugene Agichtein. 2022. Wizard of tasks: A novel conversational dataset for solving real-world tasks in conversational settings. In Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics, 3514\u20133529. Retrieved from https:\/\/aclanthology.org\/2022.coling-1.310"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1080\/03634529909379178"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1037\/0033-2909.116.3.457"},{"key":"e_1_3_3_11_2","article-title":"CAsT-19: A dataset for conversational information seeking","author":"Dalton Jeffrey","year":"2020","unstructured":"Jeffrey Dalton, Chenyan Xiong, Vaibhav Kumar, and Jamie Callan. 2020. CAsT-19: A dataset for conversational information seeking. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval.","journal-title":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval"},{"key":"e_1_3_3_12_2","volume-title":"Proceedings of the 3rd International Workshop on Conversational Approaches to Information Retrieval","author":"Dubiel Mateusz","year":"2020","unstructured":"Mateusz Dubiel, Martin Halvey, Leif Azzopardi, Damien Anderson, and Sylvain Daronnat. 2020. Conversational strategies: Impact on search performance in a goal-oriented task. In Proceedings of the 3rd International Workshop on Conversational Approaches to Information Retrieval."},{"key":"e_1_3_3_13_2","volume-title":"Proceedings of the Voice-based Conversational UX Studies and Design Workshop","author":"Dubiel Mateusz","year":"2018","unstructured":"Mateusz Dubiel, Martin Halvey, Leif Azzopardi, Matthew Aylett, Miriam Wester, and David A. Braude. 2018. Improving conversational dynamics with reactive speech synthesis. In Proceedings of the Voice-based Conversational UX Studies and Design Workshop."},{"key":"e_1_3_3_14_2","unstructured":"Mateusz Dubiel Martin Halvey Leif Azzopardi and Sylvain Daronnat. 2018. Investigating how conversational search agents affect user\u2019s behaviour performance and search experience. Retrieved from https:\/\/pureportal.strath.ac.uk\/files\/81774688\/Dubiel_etal_CAIR_2018"},{"key":"e_1_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.1145\/3405755.3406120"},{"key":"e_1_3_3_16_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35326-0_42"},{"key":"e_1_3_3_17_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13222-020-00333-z"},{"key":"e_1_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-0716-2197-4_23"},{"key":"e_1_3_3_19_2","volume-title":"Proceedings of the 3rd Workshop on Natural Language for Artificial Intelligence","author":"Frummet Alexander","year":"2019","unstructured":"Alexander Frummet, David Elsweiler, and Bernd Ludwig. 2019. Detecting domain-specific information needs in conversational search dialogues. In Proceedings of the 3rd Workshop on Natural Language for Artificial Intelligence."},{"key":"e_1_3_3_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/3498330"},{"key":"e_1_3_3_21_2","doi-asserted-by":"crossref","unstructured":"Souvick Ghosh Satanu Ghosh and Chirag Shah. 2023. Toward Connecting Speech Acts and Search Actions in Conversational Search Tasks. (2023). arxiv:cs.HC\/2305.04858","DOI":"10.1109\/JCDL57899.2023.00027"},{"key":"e_1_3_3_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/2930238.2930239"},{"key":"e_1_3_3_23_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.sigdial-1.11"},{"key":"e_1_3_3_24_2","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2018.2881519"},{"key":"e_1_3_3_25_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-02432-5_19"},{"key":"e_1_3_3_26_2","doi-asserted-by":"publisher","DOI":"10.1145\/302979.303030"},{"key":"e_1_3_3_27_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-03692-0"},{"key":"e_1_3_3_28_2","doi-asserted-by":"publisher","DOI":"10.2307\/2529310"},{"key":"e_1_3_3_29_2","first-page":"1","volume-title":"Proceedings of the CHI Conference on Human Factors in Computing Systems","author":"Lee Yi-Chieh","year":"2020","unstructured":"Yi-Chieh Lee, Naomi Yamashita, Yun Huang, and Wai Fu. 2020. \u201cI hear you, I feel you\u201d: Encouraging deep self-disclosure through a chatbot. In Proceedings of the CHI Conference on Human Factors in Computing Systems. 1\u201312."},{"key":"e_1_3_3_30_2","article-title":"DailyDialog: A manually labelled multi-turn dialogue dataset","author":"Li Yanran","year":"2017","unstructured":"Yanran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, and Shuzi Niu. 2017. DailyDialog: A manually labelled multi-turn dialogue dataset. arXiv preprint arXiv:1710.03957 (2017).","journal-title":"arXiv preprint arXiv:1710.03957"},{"key":"e_1_3_3_31_2","doi-asserted-by":"publisher","DOI":"10.1145\/3343413.3377964"},{"key":"e_1_3_3_32_2","volume-title":"Proceedings of the AAAI Spring Symposium on Computational Models for Mixed Initiative Interaction","author":"Novick David G.","year":"1997","unstructured":"David G. Novick and Stephen Sutton. 1997. What is mixed-initiative interaction. In Proceedings of the AAAI Spring Symposium on Computational Models for Mixed Initiative Interaction."},{"key":"e_1_3_3_33_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12126-010-9077-9"},{"key":"e_1_3_3_34_2","doi-asserted-by":"publisher","DOI":"10.1145\/3498366.3505809"},{"key":"e_1_3_3_35_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.200"},{"key":"e_1_3_3_36_2","doi-asserted-by":"publisher","unstructured":"Martin Porcheron Joel E. Fischer Stuart Reeves and Sarah Sharples. 2018. Voice interfaces in everyday life. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI\u201918). Association for Computing Machinery New York NY 1\u201312. 10.1145\/3173574.3174214","DOI":"10.1145\/3173574.3174214"},{"key":"e_1_3_3_37_2","doi-asserted-by":"publisher","DOI":"10.1145\/3295750.3298924"},{"key":"e_1_3_3_38_2","doi-asserted-by":"publisher","DOI":"10.1145\/3020165.3020183"},{"key":"e_1_3_3_39_2","doi-asserted-by":"publisher","DOI":"10.2190\/DUGG-P24E-52WK-6CDG"},{"key":"e_1_3_3_40_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-47665-0_4"},{"key":"e_1_3_3_41_2","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080787"},{"key":"e_1_3_3_42_2","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531679"},{"key":"e_1_3_3_43_2","doi-asserted-by":"publisher","DOI":"10.1145\/3176349.3176388"},{"key":"e_1_3_3_44_2","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052573"},{"key":"e_1_3_3_45_2","doi-asserted-by":"publisher","DOI":"10.1145\/3176349.3176387"},{"key":"e_1_3_3_46_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-15712-8_35"},{"key":"e_1_3_3_47_2","first-page":"54","volume-title":"Proceedings of the 12th Text REtrieval Conference (TREC\u201903) (NIST Special Publication)","volume":"500","author":"Voorhees Ellen M.","year":"2003","unstructured":"Ellen M. Voorhees. 2003. Overview of the TREC 2003 question answering track. In Proceedings of the 12th Text REtrieval Conference (TREC\u201903) (NIST Special Publication), Ellen M. Voorhees and Lori P. Buckland (Eds.), Vol. 500-255. National Institute of Standards and Technology (NIST), 54\u201368. Retrieved from http:\/\/trec.nist.gov\/pubs\/trec12\/papers\/QA.OVERVIEW.pdf"},{"key":"e_1_3_3_48_2","unstructured":"Alexandra Vtyurina and Adam Fourney. 2018. 5 seconds after: Exploring user actions with voice assistants in the moments after a system response. Retrieved from https:\/\/cs.uwaterloo.ca\/avtyurin\/papers\/5_Seconds_After.pdf"},{"key":"e_1_3_3_49_2","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3173782"},{"key":"e_1_3_3_50_2","doi-asserted-by":"publisher","DOI":"10.1561\/1500000081"}],"container-title":["ACM Transactions on Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3649500","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3649500","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3649500","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T23:56:53Z","timestamp":1750291013000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3649500"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,29]]},"references-count":49,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,9,30]]}},"alternative-id":["10.1145\/3649500"],"URL":"https:\/\/doi.org\/10.1145\/3649500","relation":{},"ISSN":["1046-8188","1558-2868"],"issn-type":[{"value":"1046-8188","type":"print"},{"value":"1558-2868","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,29]]},"assertion":[{"value":"2023-05-26","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-02-18","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-04-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}