软件开发人员与用户互动中移情的促进因素和障碍:混合方法案例研究

IF 6.6 2区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING ACM Transactions on Software Engineering and Methodology Pub Date : 2024-01-23 DOI:10.1145/3641849
Hashini Gunatilake, John Grundy, Rashina Hoda, Ingo Mueller
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引用次数: 0

摘要

软件工程(SE)要求开发人员与利益相关者合作,而理解他们的情感和观点往往至关重要。同理心是一个概念,指一个人理解和分享他人情感的能力。然而,移情仍然是 SE 中研究不足的一个人文方面。我们通过一项混合方法案例研究,探讨了开发人员与最终用户之间如何实现共情。我们使用移情测试、观察和访谈来收集数据,并使用社会技术基础理论和描述性统计来分析数据。我们确定了引发移情所需的意识性质以及移情的促进因素。我们发现了移情的障碍和一系列克服这些障碍的潜在策略。我们报告了对新兴关系的见解,并为软件从业人员和 SE 研究人员提出了一系列有关移情和 SE 的建议和潜在的未来工作。
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Enablers and Barriers of Empathy in Software Developer and User Interactions: A Mixed Methods Case Study

Software engineering (SE) requires developers to collaborate with stakeholders, and understanding their emotions and perspectives is often vital. Empathy is a concept characterising a person’s ability to understand and share the feelings of another. However, empathy continues to be an under-researched human aspect in SE. We studied how empathy is practised between developers and end users using a mixed methods case study. We used an empathy test, observations and interviews to collect data, and socio–technical grounded theory and descriptive statistics to analyse data. We identified the nature of awareness required to trigger empathy and enablers of empathy. We discovered barriers to empathy and a set of potential strategies to overcome these barriers. We report insights on emerging relationships and present a set of recommendations and potential future works on empathy and SE for software practitioners and SE researchers.

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来源期刊
ACM Transactions on Software Engineering and Methodology
ACM Transactions on Software Engineering and Methodology 工程技术-计算机:软件工程
CiteScore
6.30
自引率
4.50%
发文量
164
审稿时长
>12 weeks
期刊介绍: Designing and building a large, complex software system is a tremendous challenge. ACM Transactions on Software Engineering and Methodology (TOSEM) publishes papers on all aspects of that challenge: specification, design, development and maintenance. It covers tools and methodologies, languages, data structures, and algorithms. TOSEM also reports on successful efforts, noting practical lessons that can be scaled and transferred to other projects, and often looks at applications of innovative technologies. The tone is scholarly but readable; the content is worthy of study; the presentation is effective.
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