Eliciting Meaningful Collaboration Metrics: Design Implications for Self-Tracking Technologies at Work

Alina Lushnikova; Kerstin Bongard-Blanchy; Vincent Koenig; Carine Lallemand

doi:10.1007/978-3-031-42286-7_36

Eliciting Meaningful Collaboration Metrics: Design Implications for Self-Tracking Technologies at Work

Alina Lushnikova (Corresponding author), Kerstin Bongard-Blanchy, Vincent Koenig, Carine Lallemand

EAISI Health

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

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.

Original language	English
Title of host publication	Human-Computer Interaction – INTERACT 2023
Subtitle of host publication	19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part III
Editors	José Abdelnour Nocera, Marta Kristín Lárusdóttir, Helen Petrie, Antonio Piccinno, Marco Winckler
Publisher	Springer
Pages	643-664
Number of pages	22
ISBN (Electronic)	978-3-031-42286-7
ISBN (Print)	978-3-031-42285-0
DOIs	https://doi.org/10.1007/978-3-031-42286-7_36
Publication status	Published - 25 Aug 2023
Event	19th IFIP International Conference on Human-Computer Interaction, INTERACT 2023 - York, United Kingdom Duration: 28 Aug 2023 → 1 Sept 2023

Publication series

Name	Lecture Notes in Computer Science (LNCS)
Volume	14144
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th IFIP International Conference on Human-Computer Interaction, INTERACT 2023
Country/Territory	United Kingdom
City	York
Period	28/08/23 → 1/09/23

Funding

Acknowledgements. This research has been supported by the Luxembourg National Research Fund (FNR) IPBG2020/IS/14839977/C21.

Keywords

Collaboration
Computer-Supported Cooperative Work
Group-tracking
Personal informatics
Self-tracking

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10.1007/978-3-031-42286-7_36

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Lushnikova, A., Bongard-Blanchy, K., Koenig, V., & Lallemand, C. (2023). Eliciting Meaningful Collaboration Metrics: Design Implications for Self-Tracking Technologies at Work. In J. Abdelnour Nocera, M. Kristín Lárusdóttir, H. Petrie, A. Piccinno, & M. Winckler (Eds.), Human-Computer Interaction – INTERACT 2023: 19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part III (pp. 643-664). (Lecture Notes in Computer Science (LNCS); Vol. 14144). Springer. https://doi.org/10.1007/978-3-031-42286-7_36

Lushnikova, Alina ; Bongard-Blanchy, Kerstin ; Koenig, Vincent et al. / Eliciting Meaningful Collaboration Metrics : Design Implications for Self-Tracking Technologies at Work. Human-Computer Interaction – INTERACT 2023: 19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part III. editor / José Abdelnour Nocera ; Marta Kristín Lárusdóttir ; Helen Petrie ; Antonio Piccinno ; Marco Winckler. Springer, 2023. pp. 643-664 (Lecture Notes in Computer Science (LNCS)).

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abstract = "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{\textquoteright} 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.",

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Lushnikova, A, Bongard-Blanchy, K, Koenig, V & Lallemand, C 2023, Eliciting Meaningful Collaboration Metrics: Design Implications for Self-Tracking Technologies at Work. in J Abdelnour Nocera, M Kristín Lárusdóttir, H Petrie, A Piccinno & M Winckler (eds), Human-Computer Interaction – INTERACT 2023: 19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part III. Lecture Notes in Computer Science (LNCS), vol. 14144, Springer, pp. 643-664, 19th IFIP International Conference on Human-Computer Interaction, INTERACT 2023, York, United Kingdom, 28/08/23. https://doi.org/10.1007/978-3-031-42286-7_36

Eliciting Meaningful Collaboration Metrics: Design Implications for Self-Tracking Technologies at Work. / Lushnikova, Alina (Corresponding author); Bongard-Blanchy, Kerstin; Koenig, Vincent et al.
Human-Computer Interaction – INTERACT 2023: 19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part III. ed. / José Abdelnour Nocera; Marta Kristín Lárusdóttir; Helen Petrie; Antonio Piccinno; Marco Winckler. Springer, 2023. p. 643-664 (Lecture Notes in Computer Science (LNCS); Vol. 14144).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Lushnikova A, Bongard-Blanchy K, Koenig V, Lallemand C. Eliciting Meaningful Collaboration Metrics: Design Implications for Self-Tracking Technologies at Work. In Abdelnour Nocera J, Kristín Lárusdóttir M, Petrie H, Piccinno A, Winckler M, editors, Human-Computer Interaction – INTERACT 2023: 19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part III. Springer. 2023. p. 643-664. (Lecture Notes in Computer Science (LNCS)). doi: 10.1007/978-3-031-42286-7_36

Eliciting Meaningful Collaboration Metrics: Design Implications for Self-Tracking Technologies at Work

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