Paper Abstract and Keywords |
Presentation |
2018-02-21 16:15
Analysis of Tourist's Unconscious Gesture Toward Inner State Estimation During Sightseeing Yuta Takahashi (NAIST), Yuki Matsuda (NAIST/JSPS research fellow DC1), Dmitrii Fedotov (UULM), Yutaka Arakawa (NAIST/JST PRESTO), Wolfgang Minker (UULM), Keiichi Yasumoto (NAIST) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
As the demand for "smart tourism" increases, various tourism information becomes available, but the existing tourist information does not necessarily reflect tourists experience like satisfaction on sightseeing spots. To provide richer tourism information, we should be able to understand the tourist's inner state, such as satisfaction level and emotion status on sightseeing spots. We assume that tourist's inner state has a correlation to his/her actions such as head and body movement. Therefore, there is a possibility to estimate the tourist's inner state by sensing and analyzing his/her actions during sightseeing.
In this paper, we propose a method for estimating the tourist's inner state by sensing the tourist's actions with a head-mounted inertial sensor. We conducted experiments in the two popular sightseeing areas, Ulm, Germany and Nara, Japan. As a result, we confirmed that features derived from tourist's unconscious gestures have the correlation to satisfaction level up to R=-0.504 (head movement), R=0.578 (body action). Moreover, we found the features that show the significant difference between positive and negative emotion status groups based on t-test analysis. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Tourism / Satisfaction assessment / Emotion recognition / Mobile sensing / Wearable devices / / / |
Reference Info. |
IEICE Tech. Rep. |
Paper # |
|
Date of Issue |
|
ISSN |
|
Download PDF |
|
|