Augmented reality based remote coaching system

Youngsun Kim; Seokjun Hong; Jeonghyun Kim

doi:10.1145/2993369.2996301

Augmented reality based remote coaching system

Youngsun Kim, Seokjun Hong, Jeonghyun Kim

Department of Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

In this paper, we present an AR-based tele-coaching system for fast-paced tasks, applied to the game of tennis, and explore for interface design guidelines through a user study. We have evaluated the player's performance for instruction understanding in three different modalities of augmentation: (1) AR - visual only, (2) Sound - aural only and (3) Multimodal - both visual and aural. The augmented instructions were useful even in the stringent temporal conditions, and most effective with the visual only augmentation due to its modal capability of encoding and presenting several information compactly at once.

Original language	English
Title of host publication	Proceedings - VRST 2016: 22nd ACM Conference on Virtual Reality Software and Technology
Publisher	Association for Computing Machinery
Pages	311-312
Number of pages	2
Volume	02-04-November-2016
ISBN (Electronic)	9781450344913
DOIs	https://doi.org/10.1145/2993369.2996301
Publication status	Published - 2016 Nov 2
Event	22nd ACM Conference on Virtual Reality Software and Technology, VRST 2016 - Munich, Germany Duration: 2016 Nov 2 → 2016 Nov 4

Other

Other	22nd ACM Conference on Virtual Reality Software and Technology, VRST 2016
Country	Germany
City	Munich
Period	16/11/2 → 16/11/4

Keywords

Augmented reality
Multimodal feedback
Pre-attentive recognition
Tele-coaching

ASJC Scopus subject areas

Software

Access to Document

10.1145/2993369.2996301

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Cite this

Kim, Y, Hong, S & Kim, J 2016, Augmented reality based remote coaching system. in Proceedings - VRST 2016: 22nd ACM Conference on Virtual Reality Software and Technology. vol. 02-04-November-2016, Association for Computing Machinery, pp. 311-312, 22nd ACM Conference on Virtual Reality Software and Technology, VRST 2016, Munich, Germany, 16/11/2. https://doi.org/10.1145/2993369.2996301

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