Insights in Adaptation: Examining Self-reflection Strategies of Job Seekers with Visual Impairments in India

2025-06-27

AI Summary

Despite possessing digital competencies, visually impaired job seekers in India face persistently high unemployment rates—primarily due to misalignment between industry requirements and individual capabilities, insufficient self-reflection opportunities, and a lack of constructive peer- and employer-provided feedback. Moreover, existing employment interventions fail to accommodate their specific accessibility needs. Through 28 semi-structured interviews and rigorous qualitative analysis, this study systematically identifies key adaptive barriers hindering their participation in the digital labor market. The research introduces an innovative “feedback-driven collaborative intervention framework,” which leverages personalized, multi-source feedback (from peers and employers) to foster reflective practice and enhance job-search efficacy. Beyond diagnosing critical gaps in current support ecosystems, the study establishes scalable, evidence-based design principles for accessible digital employment interventions—thereby informing inclusive labor-market policies and assistive technology development.

Technology Category

• Humans and AI: AI for Accessibility
• Philosophy and Ethics of AI: AI & Jobs/Labor
• Intelligent Robots: Manipulation

Application Category

• Economics, Online Markets and Human Computation: Trust and reliance of crowd workers and data experts on GenAI
• Responsible Web: Human-perceived consequences of algorithmic deployment on the web
• Search and Retrieval-Augmented AI: Vertical and domain-specific search

Abstract

Significant changes in the digital employment landscape, driven by rapid technological advancements and the COVID-19 pandemic, have introduced new opportunities for blind and visually impaired (BVI) individuals in developing countries like India. However, a significant portion of the BVI population in India remains unemployed despite extensive accessibility advancements and job search interventions. Therefore, we conducted semi-structured interviews with 20 BVI persons who were either pursuing or recently sought employment in the digital industry. Our findings reveal that despite gaining digital literacy and extensive training, BVI individuals struggle to meet industry requirements for fulfilling job openings. While they engage in self-reflection to identify shortcomings in their approach and skills, they lack constructive feedback from peers and recruiters. Moreover, the numerous job intervention tools are limited in their ability to meet the unique needs of BVI job seekers. Our results therefore provide key insights that inform the design of future collaborative intervention systems that offer personalized feedback for BVI individuals, effectively guiding their self-reflection process and subsequent job search behaviors, and potentially leading to improved employment outcomes.

Problem

• Examining self-reflection challenges for visually impaired job seekers in India
• Addressing lack of constructive feedback for BVI individuals in employment
• Improving job intervention tools for unique needs of BVI candidates

Innovation

• Semi-structured interviews with BVI job seekers
• Personalized feedback for self-reflection improvement
• Collaborative intervention systems for BVI employment