EmoReflex: an AI-powered emotion-centric developer insights platform

Abstract There has been great interest in better understanding software engineer emotions during development. But how to do this? We built a prototype AI-powered Emotion-centric Developer Insights Platform, EmoReflex, to support developers to report and reflect how they feel when working on various tasks across different metrics. It also assists their managers to get insights into their team’s emotional health, and provides them with recommendations to guide them handle the team’s emotional wellbeing. We present our tool prototype and evaluation results generated by a user study conducted with two user groups consisting of twenty developers and twenty managers. We present some design implications derived from our user study that can be used to inform design decisions in emotion-centric software development tools.

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Publication Details

Journal
Automated Software Engineering
Published
2025-02-20
DOI
https://doi.org/10.1007/s10515-025-00488-7
Citations
1
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
2.12

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article en
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Abstract

Abstract There has been great interest in better understanding software engineer emotions during development. But how to do this? We built a prototype AI-powered Emotion-centric Developer Insights Platform, EmoReflex, to support developers to report and reflect how they feel when working on various tasks across different metrics. It also assists their managers to get insights into their team’s emotional health, and provides them with recommendations to guide them handle the team’s emotional wellbeing. We present our tool prototype and evaluation results generated by a user study conducted with two user groups consisting of twenty developers and twenty managers. We present some design implications derived from our user study that can be used to inform design decisions in emotion-centric software development tools.

Automated Software EngineeringVol. 32(1)
Monash University (AU)
Monash University, Australian Research Council
Openalex Percentile: Top 17%
Emotion and Mood Recognition
2.12
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