Reference : Eliciting Meaningful Collaboration Metrics: Design Implications for Self-Tracking Tec...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Social & behavioral sciences, psychology : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/10993/55268

Title :	Eliciting Meaningful Collaboration Metrics: Design Implications for Self-Tracking Technologies at Work
Language :	English
Author, co-author :	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) >]
Publication date :	2023
Main document title :	Human-Computer Interaction – INTERACT 2023
Publisher :	Springer
Collection and collection volume :	Lecture Notes in Computer Science 14144
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	INTERACT 2023
Event date :	From 28-08-2023 to 01-09-2023
Keywords :	[en] collaboration ; self-tracking ; group-tracking ; personal informatics ; computer-supported collaborative work ; office work ; experience ; metrics
Abstract :	[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.
Funders :	Fonds National de la Recherche - FnR
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/10993/55268
DOI :	10.1007/978-3-031-42286-7_36
FnR project :	FnR ; FNR14839977 > Vincent Koenig > C21 > Collaboration 21 - Leveraging Technologies For Enhanced Collaborative Work And Learning Experiences > 15/09/2021 > 14/09/2027 > 2020

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