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Responsiveness in Text Messaging, 2017

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DataCite Commons2023-02-28 更新2025-04-16 收录
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https://dataverse.unc.edu/citation?persistentId=doi:10.15139/S3/URDFZ0
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This research investigated the role of emoji in the communication of perceived responsiveness—conveying understanding, validation, and care to another person—through text messages. Participants (n= 323 college students) read a text message conversation between two individuals where Person A (the discloser) discussed a negative event with Person B (the responder), who attempted to convey responsiveness to Person A’s situation. Participants were randomly assigned to review one of two versions of the conversation: Person B either used or did not use emoji in their responses. Participants rated the perceived responsiveness of Person B toward Person A in subsections of text exchanges. The sample consisted of 323 college students (72 males, 245 females, 6 not reported; Mean age = 20.77 years, SD = 5.40, Range = 18-56). The sample was fairly diverse: 107 White or Caucasian, 72 Asian or Pacific Islander, 42 Black or African American, 33 Hispanic or Latino, 23 Middle Eastern, 2 West Indian or Caribbean, and 33 Multiracial (11 not reported). The sample almost exclusively consisted of smartphone users (99%; 312 participants) and 72.8% (227 participants) of smartphone users reported having an Apple phone. Most of the sample used emoji with only 4.3% (14 participants) reporting that they do not use emoji. Brooklyn College IRB: 2016-0682

本研究探讨了表情符号(emoji)在通过文本消息传递感知回应性——即向他人传递理解、认可与关怀——过程中的作用。本研究招募323名大学生作为被试,令其阅读两人间的一则文本对话:其中分享者(Person A)向回应者(Person B)讲述了一则负面事件,回应者则试图向分享者的处境传递共情回应。被试被随机分配至两组实验条件之一,分别阅读两种对话版本之一:回应者在回复中使用或不使用表情符号。随后,被试针对各段文本交互内容,对回应者向分享者所展现出的感知回应性进行评分。本次有效样本共包含323名大学生,其中男性72人、女性245人,6人性别信息未报告;被试平均年龄为20.77岁,标准差为5.40,年龄区间为18至56岁。样本群体具有较好的多样性:107人为白人或高加索裔,72人为亚裔或太平洋岛裔,42人为黑人或非裔美国人,33人为西班牙裔或拉丁裔,23人为中东裔,2人为西印度群岛或加勒比裔,33人为多种族混血人群,另有11人人种背景信息未报告。样本中几乎全部为智能手机用户(占比99%,共312人),其中72.8%的智能手机用户(227人)表示使用苹果手机。绝大多数被试日常使用表情符号,仅4.3%的被试(14人)表示从不使用表情符号。本研究已获得布鲁克林学院机构审查委员会(IRB)批准,审批编号为2016-0682。
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UNC Dataverse
创建时间:
2023-02-28
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