HUMAN CENTERED GESTURE VOCABULARY DESIGN FOR GESTURE BASED INTERACTION

Title
HUMAN CENTERED GESTURE VOCABULARY DESIGN FOR GESTURE BASED INTERACTION
Authors
손민석황동욱정재문박정민박우진
Keywords
Gesture Vocabulary; Gesture based Interaction
Issue Date
2013-10
Publisher
International Conference on Industrial Engineering Theory, Applications and Practice
Abstract
This study proposed a novel method for designing optimal gesture vocabularies (GVs) for gesture-based interaction. It is named the human centered gesture vocabulary design (HCGVD) method. When given a set of commands necessary for intended tasks, the HCGVD method first collects candidate gestures for each command. In doing so, multiple sources of candidate gestures are employed, including existing sign languages, user design, cooperative design, religious or cultural iconography, computer random gesture generation and metaphors. Each of the collected candidate command-gesture pairs is then evaluated in terms of different usability and ergonomics criteria, including intuitiveness, preference and physical stress. A quantitative metric for evaluating physical stresses of dynamic gestures was developed on the basis of the widely used Rapid Upper Limb Assessment (RULA) posture analysis tool. The GV design problem is formulated as either a multiple objective combinatorial optimization problem or a constraint satisfaction problem. The optimal GV is determined by solving the GV design problem utilizing a probabilistic search process. Finally, the optimal GV is fine-tuned so as to enhance its characteristics. Compared with existing GV design methods, the HCGVD method may has the advantage that it utilizes multiple gesture sources in generating candidate gestures, and therefore, it may increase the likelihood of producing a high-quality GV. Also, the modified RULA method provides an efficient way of assessing physical stresses of dynamic gestures, which does not require empirically collecting subjective discomfort/stress data. An illustrative GV design example was provided to describe the details of the proposed HCGVD method.
URI
http://pubs.kist.re.kr/handle/201004/46830
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KIST Publication > Conference Paper
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