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The literature-review database. Every paper Bob has reviewed (he has read many more), with a short summary, key findings, and tags. Browse, filter, search.

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  • Human-Centered Explainable AI for Brain-Computer Interface-driven Rehabilitation

    Param Rajpura · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

    This CHI Extended Abstract presents a doctoral research agenda developing human-centered explainable AI (HCXAI) frameworks for brain-computer interfaces (BCIs) used in stroke rehabilitation. Rajpura argues that current BCI systems prioritize technical performance, such as…

    brain-computer interface · explainable AI · stroke rehabilitation · aphasia · human-centered AI

  • Surfacing Variations to Calibrate Perceived Reliability of MLLM-generated Image Descriptions

    Meng Chen, Akhil Iyer, Amy Pavel · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

    This paper addresses a critical safety problem in AI-powered visual access technology: multimodal large language models (MLLMs) like GPT-4o, Gemini, and Claude produce fluent, confident image descriptions that can contain fabricated content, misinterpretations, and omissions…

    blindness · low vision · image descriptions · multimodal AI · large language models

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