Mediated human-human interaction; Recommender systems; User-centered design; User experience; Natural language
Résumé :
[en] Meetings are recurrent organizational tasks intended to drive progress in an interdisciplinary and collaborative manner. They are, however, prone to inefficiency due to factors such as differing knowledge among participants. The research goal of this paper is to design a recommendation-based meeting assistant that can improve the efficiency of meetings by helping to contextualize the information being discussed and reduce distractions for listeners. Following a Wizard-of-Oz setup, we gathered user feedback by thematically analyzing focus group discussions and identifying this kind of system’s key challenges and requirements. The findings point to shortcomings in contextualization and raise concerns about distracting listeners from the main content. Based on the findings, we have developed a set of design recommendations that address context, interactivity and personalization issues. These recommendations could be useful for developing a meeting assistant that is tailored to the needs of meeting participants, thereby helping to optimize the meeting experience.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
ALCARAZ, Benoît ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
HOSSEINI KIVANANI, Nina ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
Najjar, Amro
BONGARD-BLANCHY, Kerstin ; University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS)
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
User Requirement Analysis for a Real-Time NLP-Based Open Information Retrieval Meeting Assistant
Date de publication/diffusion :
mars 2023
Nom de la manifestation :
45th European Conference on Information Retrieval (ECIR 2023)
FNR14839977 - Collaboration 21 - Leveraging Technologies For Enhanced Collaborative Work And Learning Experiences, 2020 (15/09/2021-14/09/2027) - Vincent Koenig
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