Relations between personality traits and empathy for social pain and physical pain

Aiko Murata, Katsumi Watanabe

    研究成果: Conference contribution

    抄録

    Empathy for social pain (e.g., that caused by social exclusion) may be crucial for social bonding because it allows to understand others' feeling and facilitate pro-social behavior such as consolation. Studies have indicated the relationship between personality traits and empathy for physical pain. However, few studies have addressed the personality traits that are related to empathy for social pain. The present study examined how personality traits would be related to social and physical empathy. Participants observed social exclusion (i.e., Cyberball movies) and photographs of painful situations of another person, which increased empathetic responses to the depicted person. The correlation analyses revealed that female participants with more extravert trait and/or more other-oriented feelings of sympathy and concern for unfortunate others tended to show greater empathy for physical pain. This result may suggest that attention toward other persons is a factor for physical empathy. Additionally, female participants with agreeableness trait tended to exhibit social empathy. Since agreeableness is related to general concern for social harmony, the tendency to avoid social conflicts may be related to social empathy.

    本文言語English
    ホスト出版物のタイトル2017 9th International Conference on Knowledge and Smart Technology: Crunching Information of Everything, KST 2017
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ284-287
    ページ数4
    ISBN(電子版)9781467390774
    DOI
    出版ステータスPublished - 2017 3 23
    イベント9th International Conference on Knowledge and Smart Technology, KST 2017 - Chonburi, Thailand
    継続期間: 2017 2 12017 2 4

    Other

    Other9th International Conference on Knowledge and Smart Technology, KST 2017
    CountryThailand
    CityChonburi
    Period17/2/117/2/4

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition
    • Health Informatics
    • Artificial Intelligence
    • Computer Science Applications

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