Towards recognizing the emotions of developers using biometrics: the design of a field study

Daniela Girardi, Filippo Lanubile, Nicole Novielli, Luigi Quaranta, Alexander Serebrenik

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)
69 Downloads (Pure)

Abstract

During their daily working activities, developers experience a wide range of emotions that are known to impact their personal wellbeing and, consequently, their work performance. As such, being aware of own and collaborators' emotions is crucial to enhance the collaborative development process. In this paper we present the design of a field study aimed at i) assessing the feasibility of emotion detection using non-invasive biometric sensors and ii) investigating the correlation between daily working activities and positive/negative emotions experienced by software developers. The long-term goal of our research is to provide recommendations to improve developers' mental well-being and productivity based on the emotions they experience.
Original languageEnglish
Title of host publicationProceedings - 2019 IEEE/ACM 4th International Workshop on Emotion Awareness in Software Engineering, SEmotion 2019
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages13-16
Number of pages4
ISBN (Electronic)978-1-7281-2280-9
DOIs
Publication statusPublished - 28 May 2019
Event4th IEEE/ACM International Workshop on Emotion Awareness in Software Engineering - Montréal, Canada
Duration: 28 May 201928 May 2019

Workshop

Workshop4th IEEE/ACM International Workshop on Emotion Awareness in Software Engineering
Abbreviated titleSEmotion 2019
CountryCanada
CityMontréal
Period28/05/1928/05/19

Keywords

  • Biometric sensors
  • Emotion detection
  • Empirical software engineering
  • Field study

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