Towards Supporting Emotion Awareness in Retrospective Meetings

Daniela Grassi, Filippo Lanubile, Nicole Novielli, Alexander Serebrenik

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

4 Citaten (Scopus)

Samenvatting

Emotion awareness is a key antecedent to team effectiveness and the use of biometrics can help software developers in gaining awareness of emotions at the individual and team level. In this paper, we propose an approach to include emotional feedback in agile retrospective meetings as a proxy to identify developers’ feelings in association with the activity performed by the team. As a proof of concept, we developed an emotion visualization tool that provides an integrated visualization of self-reported emotions, activities, and biometrics. We run a pilot study to evaluate our approach with the agile retrospective meetings of a software engineering capstone project. The preliminary findings suggest that integrated emotion visualization can be useful to inform discussion and reflection around the potential causes of unhappiness, thus triggering actionable insights that could enhance team productivity and improve collaboration.
Originele taal-2Engels
TitelIEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's101-105
Aantal pagina's5
ISBN van elektronische versie979-8-3503-0039-0
DOI's
StatusGepubliceerd - 12 jul. 2023
EvenementIEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results - Melbourne, Australië
Duur: 14 mei 202320 mei 2023
Congresnummer: 45
https://conf.researchr.org/home/icse-2023

Congres

CongresIEEE/ACM International Conference on Software Engineering
Verkorte titelICSE-NIER
Land/RegioAustralië
StadMelbourne
Periode14/05/2320/05/23
Internet adres

Financiering

ACKNOWLEDGMENT The research of Daniela Grassi is partially funded by D.M. 352/2022, Next Generation EU - PNRR, in the scope of the project ”Recognition of emotions of cognitive workers using non-invasive biometric sensors”, co-supported by Exprivia, CUP H91I22000410007.

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