Exploring Empathy in Software Engineering: Insights from a Grey Literature Analysis of Practitioners' Perspectives
- URL: http://arxiv.org/abs/2507.05325v1
- Date: Mon, 07 Jul 2025 17:35:37 GMT
- Title: Exploring Empathy in Software Engineering: Insights from a Grey Literature Analysis of Practitioners' Perspectives
- Authors: Lidiany Cerqueira, João Pedro Bastos, Danilo Neves, Glauco Carneiro, Rodrigo Spínola, Sávio Freire, José Amancio Macedo Santos, Manoel Mendonça,
- Abstract summary: Empathy, a key social skill, is essential for communication and collaboration in SE but remains an under-researched topic.<n>This study investigates empathy in SE from practitioners' perspectives, aiming to characterize its meaning, identify barriers, discuss practices to overcome them, and explore its effects.<n>The study proposes a definition of empathy in SE, identifies barriers such as toxic culture and excessive technical focus, practices to foster empathy in teams, and outcomes, including improved collaboration, communication, and reduced anxiety, frustration, and stress.
- Score: 0.798734008619224
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: Context. Empathy, a key social skill, is essential for communication and collaboration in SE but remains an under-researched topic. Aims. This study investigates empathy in SE from practitioners' perspectives, aiming to characterize its meaning, identify barriers, discuss practices to overcome them, and explore its effects. Method. A qualitative content analysis was conducted on 55 web articles from DEV and Medium, two communities widely used by practitioners. To strengthen our findings, we conducted a follow-up survey with empathy experts. Results. The study proposes a definition of empathy in SE, identifies barriers such as toxic culture and excessive technical focus, practices to foster empathy in teams, and outcomes, including improved collaboration, communication, and reduced anxiety, frustration, and stress. These findings are synthesized into a conceptual framework. Conclusion. Survey results indicate the framework is clear, valuable, and raises empathy awareness, with suggestions for improvements and integration into training. This study paves the way for improving team dynamics by addressing barriers and offering strategies to cultivate empathy. Future work will explore empathy's broader implications in SE practice.
Related papers
- Manifestations of Empathy in Software Engineering: How, Why, and When It Matters [10.307654003138401]
Empathy plays a crucial role in software engineering (SE), influencing collaboration, communication, and decision-making.<n>Our study explores these aspects through 22 interviews and a large scale survey with 116 software practitioners.<n>Our findings provide insights into the expression of empathy in SE, the drivers behind empathetic practices, SE activities where empathy is perceived as useful or not, and the other factors that influence empathy.
arXiv Detail & Related papers (2025-08-06T14:30:02Z) - IntentionESC: An Intention-Centered Framework for Enhancing Emotional Support in Dialogue Systems [74.0855067343594]
In emotional support conversations, unclear intentions can lead supporters to employ inappropriate strategies.<n>We propose the Intention-centered Emotional Support Conversation framework.<n>It defines the possible intentions of supporters, identifies key emotional state aspects for inferring these intentions, and maps them to appropriate support strategies.
arXiv Detail & Related papers (2025-06-06T10:14:49Z) - Bridging Cognition and Emotion: Empathy-Driven Multimodal Misinformation Detection [56.644686934050576]
Social media has become a major conduit for information dissemination, yet it also facilitates the rapid spread of misinformation.<n>Traditional misinformation detection methods primarily focus on surface-level features, overlooking the crucial roles of human empathy in the propagation process.<n>We propose the Dual-Aspect Empathy Framework (DAE), which integrates cognitive and emotional empathy to analyze misinformation from both the creator and reader perspectives.
arXiv Detail & Related papers (2025-04-24T07:48:26Z) - The Role of Empathy in Software Engineering -- A Socio-Technical Grounded Theory [10.307654003138401]
Despite its importance, empathy remains under-researched in software engineering (SE)<n>Our study explored the role of empathy in SE and how SE activities and processes can be improved by considering empathy.<n>Our theory details the contexts in which empathy arises, the conditions that shape it, the causes and consequences of its presence and absence.
arXiv Detail & Related papers (2025-04-17T15:13:18Z) - APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation [71.26755736617478]
Empathetic response generation is designed to comprehend the emotions of others.
We develop a framework that combines retrieval augmentation and emotional support strategy integration.
Our framework can enhance the empathy ability of LLMs from both cognitive and affective empathy perspectives.
arXiv Detail & Related papers (2024-07-23T02:23:37Z) - Enablers and Barriers of Empathy in Software Developer and User
Interaction: A Mixed Methods Case Study [11.260371501613994]
We studied how empathy is practised between developers and end users.
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.
arXiv Detail & Related papers (2024-01-17T06:42:21Z) - Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning Methods [5.7306786636466995]
Detecting empathy has potential applications in society, healthcare and education.<n>Despite being a broad and overlapping topic, the avenue of empathy detection leveraging Machine Learning remains underexplored.<n>This paper provides a structured overview of recent advancements and remaining challenges towards developing a robust empathy detection system.
arXiv Detail & Related papers (2023-10-30T08:34:12Z) - A Critical Reflection and Forward Perspective on Empathy and Natural
Language Processing [16.394918841732075]
We argue that current directions will benefit from a clear conceptualization that includes operationalizing empathy components.
Our main objectives are to provide insight and guidance on empathy conceptualization for NLP research objectives and to encourage researchers to pursue the overlooked opportunities in this area.
arXiv Detail & Related papers (2022-10-29T13:57:02Z) - CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic
Response Generation [59.8935454665427]
Empathetic dialogue models usually consider only the affective aspect or treat cognition and affection in isolation.
We propose the CASE model for empathetic dialogue generation.
arXiv Detail & Related papers (2022-08-18T14:28:38Z) - E-ffective: A Visual Analytic System for Exploring the Emotion and
Effectiveness of Inspirational Speeches [57.279044079196105]
E-ffective is a visual analytic system allowing speaking experts and novices to analyze both the role of speech factors and their contribution in effective speeches.
Two novel visualizations include E-spiral (that shows the emotional shifts in speeches in a visually compact way) and E-script (that connects speech content with key speech delivery information.
arXiv Detail & Related papers (2021-10-28T06:14:27Z) - Exemplars-guided Empathetic Response Generation Controlled by the
Elements of Human Communication [88.52901763928045]
We propose an approach that relies on exemplars to cue the generative model on fine stylistic properties that signal empathy to the interlocutor.
We empirically show that these approaches yield significant improvements in empathetic response quality in terms of both automated and human-evaluated metrics.
arXiv Detail & Related papers (2021-06-22T14:02:33Z) - Knowledge Bridging for Empathetic Dialogue Generation [52.39868458154947]
Lack of external knowledge makes empathetic dialogue systems difficult to perceive implicit emotions and learn emotional interactions from limited dialogue history.
We propose to leverage external knowledge, including commonsense knowledge and emotional lexical knowledge, to explicitly understand and express emotions in empathetic dialogue generation.
arXiv Detail & Related papers (2020-09-21T09:21:52Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.