Study the User Experience for Game Controllers through Electroencephalogram Signals Analysis: A Case Study of Racing Game

碩士 === 國立臺北教育大學 === 數位科技設計學系(含玩具與遊戲設計碩士班) === 103 === This study investigated the effects of the players’ psychological and physiological states under the racing game using the general controller and the steering wheel controller. The physiological states of players were measured by the electroe...

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Bibliographic Details
Main Authors: Kuang-Po Hsueh, 薛光博
Other Authors: Ping-Lin Fan, Ph. D.
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/wsfbha
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Summary:碩士 === 國立臺北教育大學 === 數位科技設計學系(含玩具與遊戲設計碩士班) === 103 === This study investigated the effects of the players’ psychological and physiological states under the racing game using the general controller and the steering wheel controller. The physiological states of players were measured by the electroencephalogram signals and facial expressions. Additionally, the influence of the players’ self-regulation and the flow experience were discussed. The participations in this study were 36 students studying in the university. After the players filled out the basic information and self-regulating questionnaires, the players were tested the racing game using the steering wheel controller in hard and easy speedways. Then, the players were tested the racing game using the general controller in the same speedways. Finally, the players filled out the flow experience questionnaires. The results showed that the players with high self-regulating ability were better than others in the game performance, especially on the difficult track or using the general controller. The players which got the better performance in the racing game were had lower degree of “Attention” and higher degree of “Meditation” on electroencephalogram signals. A large percent of “happy” facial expressions was obtained in the high self-regulating ability of the players because of the better performances in the racing games. Therefore, the results indicated that the physiological signals can be used to predict the performances and flow experience.