第一届国际软件工程感性认知研讨会 1st International Workshop on Emotional Awareness in Software Engineering

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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 traits, moods, and emotions play a crucial role.

For successful software engineering projects, stakeholders often need to experience positive affect (such as trust, appreciation, positive feelings associated to rewarding, etc.), to agree on display rules for emotions and moods, 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. Contributions on this topic are currently being presented and discussed in diverse conferences and workshops due to a lack of a dedicated forum.

This workshop aims at creating 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.

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Topics of interest include, but are not limited to, the following:

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
Affective computing as a new method for empirical software engineering: exploiting affective computing methods and techniques to support empirical research in software engineering
Leveraging stakeholders’ affective feedback to improve software, tools, and processes (e.g., capturing and analysis of sentiment of users and community feedback, aspect-based sentiment analysis of product reviews, etc.)
Design, development, and evaluation of frameworks and tools for supporting emotion awareness in software engineering
Ethnographic approaches to affect monitoring in the workplace of software projects
Psychology of programming and affective states modeling (e.g., defining/adapting psychological model of affect to software engineering, understanding the trigger behind positive and negative emotions during developers’ activities, coarse vs. fine-grained emotion modeling, etc.)
Affective state detection from multimodal analysis of spontaneous communicative behavior such as natural language processing, analysis of body posture and gesture, speech analysis, conversational analysis during meetings, use of biometric measurements, reliable signal collection and processing
Affect sensing from communication artifact (e.g., message boards, issue tracking, social media): techniques and tools for extracting and summarizing emotions in communication
Methodologies for large-scale emotion mining
The interplay between affective expression and exogenous and endogenous workplace factors (such as physical location of the work team, the organizational hierarchy, the adopted technologies, etc.)
Emotion awareness in requirements engineering, software design, and software management
Emotion awareness in software design philosophies, development practices, and tools
Emotion awareness in cross-cultural teams in global software development
Mutual emotion-awareness: affect display rule in the workplace and how emotion display enhances/impairs trust, appreciation, cooperation, positive outcomes of engineering activities
Reusable software frameworks, APIs, and patterns for designing and maintaining affect-aware systems