Creative Problem-Solving: A Study with Blind and Low Vision Software Professionals

2025-01-31

AI Summary

This study addresses persistent accessibility barriers faced by blind and low-vision software practitioners (BLVSPs), including inaccessible development tools and collaborative impediments. Through semi-structured interviews and reflexive thematic analysis—grounded in accessible human-computer interaction and inclusive software engineering—we systematically identify seven categories of self-initiated adaptation strategies and four types of community-driven coordination mechanisms. We introduce and empirically validate “creative adaptation” as a core professional competency distinguishing BLVSPs from mainstream optimization paradigms: it manifests through custom tool development, workflow reengineering, and co-creation of supportive communities to sustain resilient practice. Results demonstrate that collaborative ecosystems significantly enhance problem-solving efficiency and long-term occupational sustainability. The findings advance inclusive software engineering by proposing a novel theoretical framework and actionable design principles for equitable participation in software development.

Technology Category

• Humans and AI: AI for Accessibility
• Application Domains: Software Engineering
• Cognitive Modeling & Cognitive Systems: Adaptive Behavior

Application Category

• Responsible Web: Algorithmic accountability and transparency on the web
• Search and Retrieval-Augmented AI: Vertical and domain-specific search
• Security and Privacy: Data transparency and provenance

Abstract

Background: Software engineering requires both technical skills and creative problem-solving. Blind and low-vision software professionals (BLVSPs) encounter numerous workplace challenges, including inaccessible tools and collaboration hurdles with sighted colleagues. Objective: This study explores the innovative strategies employed by BLVSPs to overcome these accessibility barriers, focusing on their custom solutions and the importance of supportive communities. Methodology: We conducted semi-structured interviews with 30 BLVSPs and used reflexive thematic analysis to identify key themes. Results: Findings reveal that BLVSPs are motivated to develop creative and adaptive solutions, highlighting the vital role of collaborative communities in fostering shared problem-solving. Conclusion: For BLVSPs, creative problem-solving is essential for navigating inaccessible work environments, in contrast to sighted peers, who pursue optimization. This study enhances understanding of how BLVSPs navigate accessibility challenges through innovation.

Problem

• Accessibility
• Software Development
• Visual Impairment

Innovation

• BLVSPs
• self-created tools
• collaborative problem-solving