Akshay K Nayak
Researcher, Engineer

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Top Publications

CORE A*

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

ACM CSCW 2025October 2025

Akshay Kolgar Nayak , Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

We present a study on self-reflection strategies among blind and visually impaired (BVI) job seekers in India. Despite gaining digital skills, many face challenges aligning with industry expectations due to limited personalized feedback and inaccessible job-prep tools. Self-reflection is often a social process shaped by peer interactions, yet current systems lack the tailored support needed for effective growth. Our findings inform the design of future tools to better guide reflective job-seeking and address the unique needs of BVI individuals in the Global South.

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Best Paper Award

Adapting Online Customer Reviews for Blind Users: A Case Study of Restaurant Reviews

ACM Web4All 2025April 2025

Mohan Sunkara, Akshay Kolgar Nayak, Sandeep Kalari, Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

We present QuickCue, an assistive browser extension that improves the usability of online restaurant reviews for blind screen reader users. QuickCue restructures review content into a hierarchical format organized by aspects (e.g., food, service, ambiance) and sentiment (positive/negative), enabling faster, more focused exploration with minimal navigation. Powered by GPT-4, it performs aspect-sentiment classification and generates targeted summaries, significantly reducing listening fatigue and helping users make more informed decisions.

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CORE A*

Towards Enhancing Low Vision Usability of Data Charts on Smartphones

IEEE VIS (TVCG) 2025September 2024

Yash Prakash, Pathan Aseef Khan, Akshay Kolgar Nayak, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

We present GraphLite, a mobile assistive system that makes data charts more usable for low-vision screen magnifier users. GraphLite transforms static, non-interactive charts into customizable, interactive views that preserve visual context under magnification. Users can selectively focus on key data points, personalize chart appearance, and reduce panning effort through simplified gestures.

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GitHubDemo Video