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• Effects of Virtual Reality Properties on User Experience of Individuals with Autism

  Lal "Lila" Bozgeyikli, Evren Bozgeyikli, Andrew Raij, Redwan Alqasemi, Srinivas Katkoori, Rajiv Dubey · 2018 · ACM Transactions on Accessible Computing

  This study systematically examines how five virtual reality user interface attributes affect the experience of high-functioning individuals with autism spectrum disorder (HFASD). The research addresses a critical gap in VR design guidelines for autistic users, particularly in…

  autism spectrum disorder · virtual reality · user interface design · vocational training · user experience

• 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

• Screening Dyslexia for English Using HCI Measures and Machine Learning

  Luz Rello, Enrique Romero, Maria Rauschenberger, Abdullah Ali, Kristin Williams, Jeffrey P. Bigham, Nancy Cushen White · 2018 · International Conference on Digital Health

  This paper presents a machine learning approach to screening for dyslexia in English speakers by analyzing how users interact with a linguistic computer-based game called Dytective. More than 10% of the population has dyslexia, but most are diagnosed only after failing in…

  dyslexia · machine learning · screening · serious games · early detection

• Crowdsourcing the Installation and Maintenance of Indoor Localization Infrastructure to Support Blind Navigation

  Cole Gleason, Dragan Ahmetovic, Saiph Savage, Carlos Toxtli, Carl Posthuma, Chieko Asakawa, Kris M. Kitani, Jeffrey P. Bigham · 2018 · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)

  This paper introduces LuzDeploy, a physical crowdsourcing system that coordinates non-expert volunteers to install and maintain Bluetooth Low Energy (BLE) beacon infrastructure for indoor navigation systems used by blind people. The central problem is that indoor navigation…

  indoor navigation · crowdsourcing · Bluetooth beacons · blind users · wayfinding

• The Present and Future of Museum Accessibility for People with Visual Impairments

  Saki Asakawa, João Guerreiro, Dragan Ahmetovic, Kris M. Kitani, Chieko Asakawa · 2018 · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18, Poster)

  This short ASSETS '18 poster paper is the formative survey that motivated much of the later Miraikan and CaBot museum-accessibility work from the same research group. The authors conducted in-person semi-structured interviews with 19 people with visual impairments (16 totally…

  museum accessibility · visual impairment · indoor navigation · tactile replicas · audio description

• Variability in Reactions to Instructional Guidance during Smartphone-Based Assisted Navigation of Blind Users

  Eshed Ohn-Bar, João Guerreiro, Kris Kitani, Chieko Asakawa · 2018 · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)

  This paper takes a close, sensor-level look at something most indoor-navigation research glosses over: how differently individual blind users actually react to the same spoken instruction. The authors instrumented a smartphone-and-BLE-beacon turn-by-turn system (based on NavCog)…

  indoor navigation · turn-by-turn navigation · blindness · visual impairment · assistive technology

• Modeling Expertise in Assistive Navigation Interfaces for Blind People

  Eshed Ohn-Bar, João Guerreiro, Dragan Ahmetovic, Kris M. Kitani, Chieko Asakawa · 2018 · Proceedings of the 23rd International Conference on Intelligent User Interfaces (IUI)

  This short IUI paper asks a question most assistive-navigation research leaves unasked: what happens as a blind user becomes an expert on a route? Existing smartphone guidance apps deliver the same instruction set on a user's tenth trip down a corridor as on their first,…

  blind navigation · indoor navigation · turn-by-turn navigation · visual impairment · blindness

• Environmental Factors in Indoor Navigation Based on Real-World Trajectories of Blind Users

  Hernisa Kacorri, Eshed Ohn-Bar, Kris M. Kitani, Chieko Asakawa · 2018 · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

  This paper addresses a methodological blind spot in blind-navigation research: studies typically report localization accuracy and completion time, but say almost nothing about how the physical environment itself shapes where users go wrong. The authors argue that the same…

  indoor navigation · turn-by-turn navigation · blindness · visual impairment · assistive technology

• Usability Evaluation of Captions for People Who Are Deaf or Hard of Hearing

  Sushant Kafle, Matt Huenerfauth · 2018 · SIGACCESS Accessibility and Computing Newsletter (Issue 122)

  This is a SIGACCESS Newsletter article summarizing a line of research by Kafle and Huenerfauth on building a caption-quality evaluation metric that actually reflects the experience of Deaf and Hard-of-Hearing (DHH) readers — rather than simply counting speech-recognition errors.…

  automatic speech recognition · captioning · captions · caption quality · accessibility metrics

• Methods for Evaluation of Imperfect Captioning Tools by Deaf or Hard-of-Hearing Users at Different Reading Literacy Levels

  Larwan Berke, Sushant Kafle, Matt Huenerfauth · 2018 · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18)

  This CHI 2018 paper (awarded an Honourable Mention) is the originating methodological study behind the group’s later Alonzo et al. work on Automatic Text Simplification evaluation. It asks: when Deaf and Hard-of-Hearing (DHH) participants evaluate imperfect captions produced by…

  captioning · deaf and hard of hearing · automatic speech recognition · research methodology · literacy

• Teaching Inclusive Thinking to Undergraduate Students in Computing Programs

  Stephanie Ludi, Matt Huenerfauth, Vicki Hanson, Nidhi Rajendra Palan, Paula Conn · 2018 · SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education

  This paper investigates whether specific teaching interventions in undergraduate computing courses measurably increase students' accessibility awareness and inclusive thinking. The authors note that, while numerous accessibility teaching approaches have been reported anecdotally…

  accessibility education · computer science education · inclusive design · HCI education · undergraduate teaching