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• Multi-Perspective Visual Contrastive Decoding for Reliable Assistance

  Bocheng Pan, Hailong Shi, Xingyu Gao · 2026 · ACM Transactions on Internet of Things

  This technical paper presents MPVCD (Multi-Perspective Visual Contrastive Decoding), a framework designed to address the reliability of AI-generated visual descriptions for people who are blind or have low vision (BLV). The core problem it tackles: when BLV users photograph…

  blindness and low vision · multimodal AI · image captioning · visual hallucination · assistive technology

• CHIMELIGHT: Augmenting Instruments in Interactive Music Therapy for Children with Neurodevelopmental Disorders

  Joana Lobo, Soichiro Matsuda, Izumi Futamata, Ryoichi Sakuta, Kenji Suzuki · 2019 · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This paper presents CHIMELIGHT, an IoT-based system that augments handchime musical instruments with real-time visual feedback to support music therapists working with children who have neurodevelopmental disorders (NDDs) including autism spectrum disorder (ASD) and ADHD. The…

  music therapy · neurodevelopmental disorder · autism spectrum disorder · ADHD · children

• Crowd-AI Camera Sensing in the Real World

  Anhong Guo, Anuraag Jain, Shomiron Ghose, Gierad Laput, Chris Harrison, Jeffrey P. Bigham · 2018 · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

  This paper presents Zensors++, a hybrid crowd-AI camera sensing system that allows users to point a networked camera at a scene, define a natural language question about it (such as "Is the coffee machine in use?" or "How many people are in the room?"), and receive continuous,…

  crowdsourcing · computer vision · human computation · machine learning · smart environments

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