Imagen de Portada

Will AI also replace inspectors? Investigating the potential of generative AIs in usability inspection

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Campos, Luis F. G., Marques, Leonardo C., Nakamura, Walter T.
Formato:	Preprint
Publicado:	2025
Materias:	Software Engineering Human-Computer Interaction
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Investigating and Designing for Trust in AI-powered Code Generation Tools
por: Wang, Ruotong, et al.
Publicado: (2023)

A meta-analysis of the effect of generative AI on productivity and learning in programming
por: Maier, Sebastian, et al.
Publicado: (2026)

A survey of generative AI adoption and perceived productivity among scientists who program
por: O'Brien, Gabrielle, et al.
Publicado: (2025)

More Code, Less Reuse: Investigating Code Quality and Reviewer Sentiment towards AI-generated Pull Requests
por: Huang, Haoming, et al.
Publicado: (2026)

Evolution of Programmers' Trust in Generative AI Programming Assistants
por: Shah, Anshul, et al.
Publicado: (2025)

Investigating Remote Hands-On Assistance for Collaborative Development of Embedded Systems
por: Chen, Yan, et al.
Publicado: (2024)

Investigating VR Accessibility Reviews for Users with Disabilities: A Qualitative Analysis
por: Wang, Yi, et al.
Publicado: (2025)

Investigating Conversational Agents to Support Secondary School Students Learning CSP
por: Frazier, Matthew, et al.
Publicado: (2026)

An Empirical Investigation on the Challenges Faced by Women in the Software Industry: A Case Study
por: Trinkenreich, Bianca, et al.
Publicado: (2022)

Tables or Sankey Diagrams? Investigating User Interaction with Different Representations of Simulation Parameters
por: uulu, Choro Ulan, et al.
Publicado: (2026)

AI Where It Matters: Where, Why, and How Developers Want AI Support in Daily Work
por: Choudhuri, Rudrajit, et al.
Publicado: (2025)

GeoPandas-AI: A Smart Class Bringing LLM as Stateful AI Code Assistant
por: Merten, Gaspard, et al.
Publicado: (2025)

Beyond Banning AI: A First Look at GenAI Governance in Open Source Software Communities
por: Yang, Wenhao, et al.
Publicado: (2026)

Explainability for Embedding AI: Aspirations and Actuality
por: Weber, Thomas
Publicado: (2025)

The Fast and Spurious: Developer Productivity with GenAI
por: Afroz, Sadia, et al.
Publicado: (2025)

Unlocking Adaptive User Experience with Generative AI
por: Huang, Yutan, et al.
Publicado: (2024)

AI in Software Engineering: Perceived Roles and Their Impact on Adoption
por: Zakharov, Ilya, et al.
Publicado: (2025)

Towards Decoding Developer Cognition in the Age of AI Assistants
por: Haque, Ebtesam Al, et al.
Publicado: (2025)

Generating User Experience Based on Personas with AI Assistants
por: Huang, Yutan
Publicado: (2024)

Developer Needs and Feasible Features for AI Assistants in IDEs
por: Sergeyuk, Agnia, et al.
Publicado: (2024)

Does GenAI Make Usability Testing Obsolete?
por: Pourasad, Ali Ebrahimi, et al.
Publicado: (2024)

Evolving with AI: A Longitudinal Analysis of Developer Logs
por: Sergeyuk, Agnia, et al.
Publicado: (2026)

On the Role and Impact of GenAI Tools in Software Engineering Education
por: Qin, Qiaolin, et al.
Publicado: (2025)

EcoAssist: Embedding Sustainability into AI-Assisted Frontend Development
por: Barrocas, André, et al.
Publicado: (2026)

From Gains to Strains: Modeling Developer Burnout with GenAI Adoption
por: Feng, Zixuan, et al.
Publicado: (2025)

Teaching Agile Requirements Engineering: A Stakeholder Simulation with Generative AI
por: Schön, Eva-Maria, et al.
Publicado: (2026)

Vibe Coding: Toward an AI-Native Paradigm for Semantic and Intent-Driven Programming
por: Bamil, Vinay
Publicado: (2025)

What Needs Attention? Prioritizing Drivers of Developers' Trust and Adoption of Generative AI
por: Choudhuri, Rudrajit, et al.
Publicado: (2025)

Developer Interaction Patterns with Proactive AI: A Five-Day Field Study
por: Kuo, Nadine, et al.
Publicado: (2026)

The Evolution of Information Seeking in Software Development: Understanding the Role and Impact of AI Assistants
por: Haque, Ebtesam Al, et al.
Publicado: (2024)

How Far Are We? The Triumphs and Trials of Generative AI in Learning Software Engineering
por: Choudhuri, Rudrajit, et al.
Publicado: (2023)

Examining the Use and Impact of an AI Code Assistant on Developer Productivity and Experience in the Enterprise
por: Weisz, Justin D., et al.
Publicado: (2024)

Insights from the Frontline: GenAI Utilization Among Software Engineering Students
por: Choudhuri, Rudrajit, et al.
Publicado: (2024)

RiskRAG: A Data-Driven Solution for Improved AI Model Risk Reporting
por: Rao, Pooja S. B., et al.
Publicado: (2025)

Bug Detective and Quality Coach: Developers' Mental Models of AI-Assisted IDE Tools
por: Buono, Paolo, et al.
Publicado: (2025)

From Teacher to Colleague: How Coding Experience Shapes Developer Perceptions of AI Tools
por: Zakharov, Ilya, et al.
Publicado: (2025)

In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review
por: Sergeyuk, Agnia, et al.
Publicado: (2024)

Prototyping with Prompts: Emerging Approaches and Challenges in Generative AI Design for Collaborative Software Teams
por: Subramonyam, Hari, et al.
Publicado: (2024)

How Do Developers Interact with AI? An Exploratory Study on Modeling Developer Programming Behavior
por: Wu, Yinan, et al.
Publicado: (2026)

Bridging the Socio-Emotional Gap: The Functional Dimension of Human-AI Collaboration for Software Engineering
por: Rani, Lekshmi Murali, et al.
Publicado: (2026)