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Title: Reproduction of Internal States by Video-Stimulated Recall of Enjoyable Activities
Authors: Obata, Kanako
Ueda, Hirotada
Shimonishi, Kei  kyouindb  KAKEN_id  orcid (unconfirmed)
Kondo, Kazuaki  kyouindb  KAKEN_id
Nakamura, Yuichi  kyouindb  KAKEN_id
Author's alias: 小幡, 佳奈子
上田, 博唯
下西, 慶
近藤, 一晃
中村, 裕一
Keywords: reproduction of internal states
video recall
heart rate
Issue Date: 2023
Publisher: Springer Nature
Journal title: Cross-Cultural Design
Start page: 522
End page: 534
Abstract: Engaging in enjoyable activities with intimate persons have positive effects on both the physical and mental states of a person. For instance, co-eating or chatting with family members or friends tends to elicit positive emotions and feelings. This research aims to analyze the effects of recalling enjoyable experiences, and to gain insights into developing methods for effectively reproducing positive internal state. For this purpose, we conducted preliminary experiments in which original activities were recorded by videos and a heartbeat monitor, and these videos were presented to some participants after a certain number of days with facial expressions and heartbeats measured in the same ways as the original activities. The results show that facial expressions and heart rate features effectively characterize the internal states in the original experiences and when reviewing the recordings. Moreover, the results suggest that there are conditions for evoking internal states similar to the original experiences.
Description: 15th International Conference, CCD 2023, Held as Part of the 25th International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023
Part of the Lecture Notes in Computer Science book series (LNCS, volume 14024)
Rights: This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at:
The full-text file will be made open to the public on 09 July 2024 in accordance with publisher's 'Terms and Conditions for Self-Archiving'.
This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
DOI(Published Version): 10.1007/978-3-031-35946-0_41
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