活动简介
Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects, i.e. the experience of feelings or emotions. Over the past decade, research has shown the impact of affective states on work performance and on team collaboration. This also applies for software engineering that involves people in a broad range of activities, where personality, moods, and emotions play a crucial role. For successful software engineering projects, stakeholders need to experience positive affect (such as trust or appreciation), to agree on display rules for emotions, and to hold mutual commitment to the project goals.
Recently, researchers started to study the role of affective computing and affective states in software engineering. However, contributions on this topic are currently presented and discussed in diverse conferences and workshops. This workshop follows on the fifth edition held at ICSE 2020, towards the consolidation of an international, sustainable forum for researchers and practitioners interested in the role of affect in software engineering to meet, present, and discuss their work-in-progress.
High-quality contributions about empirical studies, theoretical models, as well as tools for supporting emotion awareness in software engineering are invited to the workshop, both from academia and industry.
Sponsor Type:1; 9
组委会
Workshop Organizers
Mika Mantyla, University of Oulu, Finland
Maleknaz Nayebi, York University, Canada
Paige Rodeghero, Clemson University, USA
Website and Social Media Chairs
Makayla Moster, Clemson University, USA
Oliver Karras, Leibniz University, Germany
征稿信息
重要日期
征稿范围
Topics of interest include, but are not limited to:
Impact of affective states (emotions, moods, attitudes, personality traits) on individual and group performance, commitment and collaboration in software engineering
The role of affect in the social programmer ecosystem
Leveraging stakeholders affective feedback to improve software, tools, and processes (e.g., sentiment analysis of users feedback, aspect-based sentiment analysis of product reviews, etc.)
Design, development, and evaluation of tools and datasets for supporting emotion awareness in software engineering
Reusable software frameworks, APIs, and patterns for designing and maintaining affect-aware systems
Ethnographic approaches to affect monitoring in the workplace of software projects
Psychology of programming and modeling of affective states (e.g., psychological models of affect in software engineering, understanding the trigger behind emotions during developers activities, etc.)
Affective state detection from multimodal analysis of spontaneous communicative behavior such as natural language processing, use of biometric measurements, analysis of body posture and gesture, speech analysis
Affect sensing from communication artifacts (e.g., message boards, issue tracking, social media)
Methodologies for large-scale emotion mining
Emotion awareness in requirements engineering, software design, and software management
Emotion awareness in software design philosophies, development practices, and tools
Emotion awareness of developers of different genders, cultures, ages
Emotion awareness in cross-cultural teams in global software development
Methodologies and standards
Replications of prior studies
全部留言
重要日期
-
05月31日
2021
会议日期
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01月19日 2021
初稿截稿日期
-
02月22日 2021
初稿录用通知日期
-
05月31日 2021
注册截止日期
主办单位
联系方式
- Mika Mantyla
- Mi******@oulu.fi
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