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ARCoach 2.0: Optimizing a Vocational Prompting System Based on Augmented Reality for People with Cognitive Impairments

Yao-Jen Chang, Ya-Shu Kang, Yao-Sheng Chang and Hung-Huan Liu

The 17th International ACM SIGACCESS Conference on Computers and Accessibility - Posters and Demos (ASSETS 2015)
Lisbon, Portugal, October 26-28, 2015


This study improved the ARCoach system that provided vocational training for individuals with cognitive impairments using an Augmented Reality (AR) based task prompting technology. Using cyclic codes to enhance AR tag recognition rates, the proposed system not only provided picture cues but also identified incorrect task steps on the fly and helped make corrections. Experimental data showed that the participant considerably increased the target response, thus improving vocational job skills during the intervention phases. In addition to assistive technology, our approach can apply to other AR applications where tag recognition rates need to be improved.

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