{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:34:42Z","timestamp":1754156082769,"version":"3.41.2"},"reference-count":38,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2016,5,9]],"date-time":"2016-05-09T00:00:00Z","timestamp":1462752000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JSIT"],"published-print":{"date-parts":[[2016,5,9]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>The purpose of this paper is to describe a new supervised machine learning study on the prediction of meeting participant\u2019s personal note-taking from spoken dialogue acts uttered shortly before writing.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>This novel approach of providing cues for finding important meeting events that would be worth recording in a meeting summary looks at temporal overlaps of multiple people\u2019s note-taking. This research uses data of 124 meetings taken from the AMI meeting corpus.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>The results show that several machine learning methods that the authors compared were able to classify the data significantly better than a random approach. The best model, decision trees with feature selection, achieved 70 per cent accuracy for the binary distinction writing for any number of participants simultaneously or no writing, whereas the performance for a more fine-grained distinction of the number of participants taking notes showed only about 30 per cent accuracy.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Research limitations\/implications<\/jats:title>\n<jats:p>The findings suggest that meeting participants take personal notes in accordance with the utterance of previously uttered speech acts, particularly dialogue acts about disfluencies and assessments appear to influence the note-taking activities. However, further research is necessary to examine other domains and to determine in what way this behaviour is helpful as a feature source for automatic meeting summarisation, which is useful for more efficiently satisfying people\u2019s information needs about meeting contents.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title>\n<jats:p>The reader of an Information Systems (IS) journal would be interested in this paper because the work described and the findings gained could lead to the development of novel information systems that facilitate the work for businesses and individuals. Innovative meeting capture and retrieval applications, satisfying automatic summaries of important meeting points and sophisticated note-taking tools that suggest content automatically could make people\u2019s daily lives more convenient in the future.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Social implications<\/jats:title>\n<jats:p>There are wider implications in terms of productivity and efficiency. Business value is increased for the organisation, as human knowledge is built more or less automatically. There are also cognitive and social implications for individuals and possibly an impact on the society as a whole. It is also important for globalisation, social media and mobile devices.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>The topic is new and original, as there has not been much research on it yet. Similar work was carried out recently (Murray, 2015; Bothin and Clough 2014). This is why it is relevant to an IS journal and interesting for the reader. In particular, dialogue acts about disfluencies and assessments appear to influence the note-taking activities. This behaviour is helpful as a feature source for automatic meeting summarisation, which is useful for more efficiently satisfying people\u2019s information needs about meeting contents.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/jsit-07-2015-0064","type":"journal-article","created":{"date-parts":[[2016,6,3]],"date-time":"2016-06-03T08:30:59Z","timestamp":1464942659000},"page":"170-185","source":"Crossref","is-referenced-by-count":0,"title":["Predicting meeting participants\u2019 note-taking from previously uttered dialogue acts"],"prefix":"10.1108","volume":"18","author":[{"given":"Antje","family":"Bothin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul","family":"Clough","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2020121600002340900_ref020","unstructured":"3M Online Survey (1998), available at: www.3m.com\/meetingnetwork\/ (accessed 14 July 2007)."},{"article-title":"You are what you say: using meeting participants\u2019 speech to detect their roles and expertise","volume-title":"Proceedings of the Analyzing Conversations in Text and Speech Workshop at HLT-NAACL","year":"2006","key":"key2020121600002340900_ref001"},{"key":"key2020121600002340900_ref002","first-page":"71","article-title":"Detecting the noteworthiness of utterances in human meetings","volume-title":"Proceedings of SIGDIAL 2009, London","year":"2009"},{"volume-title":"Information Systems: A Business Approach","year":"2008","key":"key2020121600002340900_ref003"},{"issue":"1","key":"key2020121600002340900_ref004","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1007\/s10799-011-0112-7","article-title":"Participants\u2019 personal note-taking in meetings and its value for automatic meeting summarisation","volume":"13","year":"2012","journal-title":"Information Technology and Management"},{"issue":"2","key":"key2020121600002340900_ref005","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1002\/kpm.1439","article-title":"A user evaluation study: do participants\u2019 personal notes help us to summarise meetings?","volume":"21","year":"2014","journal-title":"Knowledge and Process Management"},{"article-title":"Automatic summarization of meeting data: a feasibility study","volume-title":"Proceedings of the Meeting of Computer Linguistics in the Netherlands 2004, Leiden","year":"2004","key":"key2020121600002340900_ref006"},{"issue":"1","key":"key2020121600002340900_ref007","first-page":"3","article-title":"Announcing the AMI meeting corpus","volume":"11","year":"2006","journal-title":"The ELRA Newsletter"},{"article-title":"A note paper on note-taking: understanding annotations of mobile phone calls","volume-title":"Proceedings of the 14th Conference on Human-Computer Interaction with Mobile Devices and Services 2012","year":"2012","key":"key2020121600002340900_ref008"},{"key":"key2020121600002340900_ref009","first-page":"248","article-title":"A generic layout-tool for summaries of meetings in a constraint-based approach","volume-title":"Proceedings of MLMI 2008, Utrecht","year":"2008"},{"key":"key2020121600002340900_ref010","first-page":"7","article-title":"Agreement detection in multiparty conversation","volume-title":"Proceedings of ICSI-MLMI 2009, Cambridge","year":"2009"},{"key":"key2020121600002340900_ref011","first-page":"42","article-title":"A proposed method of group observation and note-taking from a psychoanalytical perspective","volume":"47","year":"2013","journal-title":"Group Analysis"},{"article-title":"Detection of agreement vs disagreement in meetings: training data with unlabeled data","volume-title":"Proceedings of NAACL HLT 2003","year":"2003","key":"key2020121600002340900_ref012"},{"key":"key2020121600002340900_ref013","first-page":"25","article-title":"What decisions have you made: automatic decision detection in conversational speech","volume-title":"Proceedings of NAACL HLT 2007, Rochester","year":"2007"},{"key":"key2020121600002340900_ref014","unstructured":"ICT Results (2010), \u201cThe internet of meetings\u201d, Science Daily, available at: http:\/\/sciencedaily.com\/releases\/2010\/04\/100423215026.htm (accessed 23 August 2010)."},{"article-title":"The ICSI meeting corpus","volume-title":"Proceedings of ICASSP 2003","year":"2003","key":"key2020121600002340900_ref015"},{"article-title":"Social summarisation: does social feedback improve access to speech data?","volume-title":"Proceedings of CSCW 2008, San Diego, CA","year":"2008","key":"key2020121600002340900_ref016"},{"key":"key2020121600002340900_ref017","unstructured":"Khan, F. 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