| アイテムタイプ |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2024-10-22 |
| タイトル |
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タイトル |
EmoTour: Estimating Emotion and Satisfaction of Users Based on Behavioral Cues and Audiovisual Data |
| 言語 |
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言語 |
eng |
| キーワード |
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主題Scheme |
Other |
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主題 |
ubiquitous computing |
| キーワード |
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主題Scheme |
Other |
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主題 |
emotion recognition |
| キーワード |
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主題Scheme |
Other |
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主題 |
satisfaction estimation |
| キーワード |
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主題Scheme |
Other |
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主題 |
wearable computing |
| キーワード |
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主題Scheme |
Other |
|
主題 |
dialogue systems |
| キーワード |
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主題Scheme |
Other |
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主題 |
smart tourism |
| キーワード |
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主題Scheme |
Other |
|
主題 |
smart cities |
| 資源タイプ |
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資源タイプ |
journal article |
| アクセス権 |
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アクセス権 |
open access |
| 著者 |
松田, 裕貴
Fedotov, Dmitrii
Takahashi, Yuta
Arakawa, Yutaka
安本, 慶一
Minker, Wolfgang
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| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
With the spread of smart devices, people may obtain a variety of information on their surrounding environment thanks to sensing technologies. To design more context-aware systems, psychological user context (e.g., emotional status) is a substantial factor for providing useful information in an appropriate timing. As a typical use case that has a high demand for context awareness but is not tackled widely yet, we focus on the tourism domain. In this study, we aim to estimate the emotional status and satisfaction level of tourists during sightseeing by using unconscious and natural tourist actions. As tourist actions, behavioral cues (eye and head/body movement) and audiovisual data (facial/vocal expressions) were collected during sightseeing using an eye-gaze tracker, physical-activity sensors, and a smartphone. Then, we derived high-level features, e.g., head tilt and footsteps, from behavioral cues. We also used existing databases of emotionally rich interactions to train emotion-recognition models and apply them in a cross-corpus fashion to generate emotional-state prediction for the audiovisual data. Finally, the features from several modalities are fused to estimate the emotion of tourists during sightseeing. To evaluate our system, we conducted experiments with 22 tourists in two different touristic areas located in Germany and Japan. As a result, we confirmed the feasibility of estimating both the emotional status and satisfaction level of tourists. In addition, we found that effective features used for emotion and satisfaction estimation are different among tourists with different cultural backgrounds. |
| 書誌情報 |
en : Sensors
巻 18,
号 11,
発行日 2018-11-15
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| 出版者 |
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出版者 |
MDPI |
| ISSN |
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収録物識別子タイプ |
EISSN |
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収録物識別子 |
1424-8220 |
| 出版者版DOI |
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関連タイプ |
isReplacedBy |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.3390/s18113978 |
| 出版者版URI |
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関連タイプ |
isReplacedBy |
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識別子タイプ |
URI |
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関連識別子 |
https://www.mdpi.com/1424-8220/18/11/3978 |
| 権利 |
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権利情報Resource |
http://creativecommons.org/licenses/by/4.0/ |
|
権利情報 |
$00A9 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
| 著者版フラグ |
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出版タイプ |
NA |
