XiyueWang-Miraikan
commented
1 year ago CamIO related short papers:
- Huiying Shen, Owen Edwards, Joshua Miele, and James M. Coughlan. 2013. CamIO: a 3D computer vision system enabling audio/haptic interaction with physical objects by blind users. In Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '13). Association for Computing Machinery, New York, NY, USA, Article 41, 1–2. https://doi.org/10.1145/2513383.2513423
- James M. Coughlan and Joshua Miele. 2017. Evaluating Author and User Experience for an Audio-Haptic System for Annotation of Physical Models. In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17). Association for Computing Machinery, New York, NY, USA, 369–370. https://doi.org/10.1145/3132525.3134811
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Abstract
We describe a new approach to audio labeling of 3D objects such as appliances, 3D models and maps that enables a visually impaired person to audio label objects. Our approach to audio labeling is called CamIO, a smartphone app that issues audio labels when the user points to a hotspot (a location of interest on an object) with a handheld stylus viewed by the smartphone camera. The CamIO app allows a user to create a new hotspot location by pointing at the location with a second stylus and recording a personalized audio label for the hotspot. In contrast with other audio labeling approaches that require the object of interest to be constructed of special materials, 3D printed, or equipped with special sensors, CamIO works with virtually any rigid object and requires only a smartphone, a paper barcode pattern mounted to the object of interest, and two inexpensive styluses. Moreover, our approach allows a visually impaired user to create audio labels independently. We describe a co-design performed with six blind participants exploring how they label objects in their daily lives and a study with the participants demonstrating the feasibility of CamIO for providing accessible audio labeling.