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验证单项卡哇伊度量

Validating the Single Item Kawaii Measure

Katie Seaborn, Yijia Wang

arXiv 2607.19352首次发表:更新:

发表机构

University of Cambridge; Institute of Science; Tokyo Institute of Technology(剑桥大学; 科学研究院; 东京技术大学)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

研究测量用户对卡哇伊感知的问题,通过九个数据集对单项度量进行收敛、已知群体和跨情境效度及信度检验,证明了其在声音和视觉卡哇伊感知方面效度的初步证据,并指出可进一步提高严谨性。

AI 中文摘要

卡哇伊是可爱在日语中的体现。作为一种从婴儿图式概念理论推导出来的多模态感知,卡哇伊可以是声音、视觉外观和外形因素以及动作和表情的属性。然而,测量用户对卡哇伊的感知仍然是一个悬而未决的问题。在缺乏经过验证的工具的情况下,单项自我报告度量被广泛使用,但尚未得到验证。在此,我们报告了针对九个数据集的单项度量的三种效度——收敛效度、已知群体效度和跨情境效度——以及信度,这些数据集包含了N = 967名独特参与者对电子游戏角色声音和视觉外观以及计算机生成的语音助手声音的反应。我们的结果证明了单项度量在声音和视觉卡哇伊感知方面效度的初步证据。可以通过新颖的刺激、重测验证以及与即将推出的多项卡哇伊度量的同时效度来进一步提高严谨性。

英文摘要

Kawaii is the Japanese instantiation of cuteness. As a multimodal percept theoretically derived from the notion of baby schema, kawaii can be a property of voice and sound, visual appearance and form factor, and movement and expression. However, measuring user perceptions of kawaii remains an open question. In the absence of a validated instrument, a one-item self-report measure has been used extensively, but has not been validated. Here, we report on three types of validity -- convergent, known groups, and cross-context -- and reliability for the single item measure across nine data sets featuring responses to video game character voices and visual appearances and computer-generated voice assistant voices from N=967 unique participants. Our results demonstrate initial evidence of the validity of the one-item measure for voice and visual kawaii perceptions. Further rigour can be pursued with novel stimuli, test-retest validation, and concurrent validity against the upcoming multi-item measure of kawaii.

CommentsAccepted at CUI '26 (Short Paper)

DOI:10.1145/3816046.3816284

论文原文

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