Ah-Aloud Method to Comprehend Time-Series Emotion Observation During Gameplay: An Initial Investigation with Japanese Speakers

Ah-Aloud Method to Comprehend Time-Series Emotion Observation During Gameplay: An Initial Investigation with Japanese Speakers

Ah-Aloud Method to Comprehend Time-Series Emotion Observation During Gameplay: An Initial Investigation with Japanese Speakers

著者
山岸 丈留
安中 勇貴
髙山 英里
能丸 天志
小松 孝徳
渡邊 恵太
学会名
CHI PLAY
発表年
2024年
発表形式
登壇発表

概要

Emotional dimensions significantly impact user experience (UX) and are essential in assessing interactions in entertainment systems. However, relying solely on subjective post-event indicators fails to capture dynamic emotional changes during the system experience. Kawashima and Watanabe introduced the "ah-aloud" method, enabling real-time emotion observation by having participants vocalize "ah" during system experiences. However, this method remains conceptual and preliminary, lacking in specific experimental procedures, analysis methods, and utilization guidelines. Our study delineates the requirements for practical "ah-aloud" application and validates its potential for game experience assessment. Consequently, the "ah-aloud" method demonstrates the potential for observing time-series emotional changes during gameplay. Based on these findings, we deliberated its utility for system evaluation and reliability as an evaluation experiment.

論文情報

Takeru Yamagishi, Yuki Yasunaka, Eri Takayama, Takashi Nomaru, Takanori Komatsu, and Keita Watanabe. 2024. Ah-Aloud Method to Comprehend Time-Series Emotion Observation During Gameplay: An Initial Investigation with Japanese Speakers. Proc. ACM Hum.-Comput. Interact. 8, CHI PLAY, Article 291 (October 2024), 23 pages. https://doi.org/10.1145/3677056