Different feeling and cognition was often triggered by the tactile exploration process, such as the reaction of tactile emotional linking. These reaction might occur in different patterns of Human-Computer interaction. According to the compilation of relevant literature, the previous works lacked this important issue that deeply investigate the cognition of vibrotactile emotion. Therefore, it is worth exploring a new field of research for the non-visual interaction and visual disturbances aids. The purpose of this study was to investigate the association of emotional linking and patterns. The results could explore that the vibrotactile was raised on tactile sensations, and then construct a tactile emotional interaction model. Total of forty volunteer subjects were participated in this experiment, and these subjects were blindfolded sight. The subject's physical activity is normal, and without wearing any decorative items on the finger. In the experiment, the ndependent variables were six types of vibrotactile and their corresponding types of basic emotions, including happiness, anger, sadness, surprise, disgust, fear. The dependent variables were the optimum combination of vibrotactile emotion and intensity scores of vibrotactile. The results illustrated that the vibrotactile characteristics of each emotion linking and the diversification of amplitude for the tactile emotions. Furthermore, six types of vibrotactile emotional pattern were different (p <0.01), but the subject's genders were no significant (p> 0.05). The results of this study could be used as a reference for the visually impaired's assistive devices design, as well as to enhance the use of the product justice.
Hsin-Fu Huang, National Yunlin University of Science and Technology, Taiwan
Hao-Cheng Chiang, National Yunlin University of Science and Technology, Taiwan
Stream: Humanities - Science, Environment and the Humanities
This paper is part of the ACAH2016 Conference Proceedings (View)
View / Download the full paper in a new tab/window
Comments & FeedbackPlace a comment using your LinkedIn profile
Share this Research