Visual Guidance for a Spatial Discrepancy Problem of in Encountered-Type Haptic Display

Autor: Gregory Lynn Dunn, Jeha Ryu, Ian Oakley, Chang-Gyu Lee
Rok vydání: 2020
Předmět:
Zdroj: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 50:1384-1394
ISSN: 2168-2232
2168-2216
Popis: In virtual environments, spatial discrepancies between visual and haptic scenes negatively impact user performance and experience. This paper shows how spatial discrepancies due to pose differences can occur in a haptic augmented virtuality system with an encountered-type haptic display. To mitigate this problem, we propose visual guidance, an algorithm that dynamically manipulates the visual scene to compensate for discrepancies. The effectiveness of this algorithm was verified in a pair of studies involving a button pressing task and spatial discrepancies between ±150 mm and ±40°. Experimental results show that discrepant trials using the technique yield error rates and a number of speed peaks (representing the number of targeting movements) that are comparable to those attained in trials with zero spatial discrepancy. This result was also achieved without requiring a dedicated adaptation or training process, ensuring the algorithm can be used immediately by users. A pair of follow-up studies also indicates the algorithm has little impact on subjective ratings of simulator sickness, suggesting that sporadic use of the algorithm will not negatively affect user’s experience of a virtual environment. We believe that the visual guidance algorithm presented in this paper can be used to create more useful and compelling experiences in various haptic training applications incorporating encountered-type haptic displays.
Databáze: OpenAIRE