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Eliciting Meaningful Collaboration Metrics: Design Implications for Self-Tracking Technologies at Work
LUSHNIKOVA, Alina; BONGARD, Kerstin; KOENIG, Vincent et al.
2023In Human-Computer Interaction – INTERACT 2023
Peer reviewed
 

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Eliciting meaningful collaboration metrics_Interact.pdf
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Annexes
interact23a-sub1020-cam-i7.pdf
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Mots-clés :
collaboration; self-tracking; group-tracking; personal informatics; computer-supported collaborative work; office work; experience; metrics
Résumé :
[en] As the workplace collaboration software market is booming, there is an opportunity to design tools to support reflection and self-regulation of collaboration practices. Building on approaches from personal informatics (PI), we aim to understand and promote the use of data to enable employees to explore their work practices, specifically collaboration. Focused on the preparation stage of PI (deciding to track and tools selection), we invited office workers (N=15, knowledge workers in academia) to identify meaningful aspects of their collaboration experience and report them in a logbook for two weeks. We then conducted semi-structured interviews with participants to identify and reflect on metrics related to collaboration experience. We contribute new insights into employees’ motivations and envisioned metrics reflecting their collaboration, including the personal, social, and organizational considerations for collecting and sharing this data. We derive design implications for self-tracking technologies for collaboration.
Disciplines :
Sciences sociales & comportementales, psychologie: Multidisciplinaire, généralités & autres
Auteur, co-auteur :
LUSHNIKOVA, Alina  ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS)
BONGARD, Kerstin ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS)
KOENIG, Vincent ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS)
LALLEMAND, Carine  ;  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 :
Eliciting Meaningful Collaboration Metrics: Design Implications for Self-Tracking Technologies at Work
Date de publication/diffusion :
2023
Nom de la manifestation :
INTERACT 2023
Date de la manifestation :
From 28-08-2023 to 01-09-2023
Manifestation à portée :
International
Titre de l'ouvrage principal :
Human-Computer Interaction – INTERACT 2023
Maison d'édition :
Springer
Collection et n° de collection :
Lecture Notes in Computer Science 14144
Peer reviewed :
Peer reviewed
Projet FnR :
FNR14839977 > Vincent Koenig > C21 > Collaboration 21 - Leveraging Technologies For Enhanced Collaborative Work And Learning Experiences > 15/09/2021 > 14/09/2027 > 2020
Organisme subsidiant :
FNR - Fonds National de la Recherche
Disponible sur ORBilu :
depuis le 01 juin 2023

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