两项研究方法探讨用户特征对用户感知和评价虚拟助手外观的影响

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Carolin Straßmann, N. Krämer
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引用次数: 7

摘要

本研究探讨了不同用户特征对智能体外观变量的感知和评价的影响。因此,我们进行了两个不同的实验。采用3 × 3 × 5受试者内设计(研究1;N = 59),三个不同的目标群体(学生、老年人和认知障碍者)评估了30种不同的代理外观,这些外观在物种(人类、动物和机器人)和真实感(高细节、低细节、风格化阴影、风格化比例和风格化阴影与风格化比例)上有所不同。研究2 (N = 792)侧重于调节变量对相同外观变量的影响,旨在补充研究1基于3 × 5受试者间设计的结果。结果表明,物种和现实主义对人的感知、用户的喜欢和使用意图有影响。在直接比较中,更高程度的现实主义被认为是更积极的,而这些影响在研究2中没有被复制。此外,大多数人对非人形机器人的评价更为积极。由于没有发现物种和现实主义的相互作用效应,风格化的影响似乎对所有物种的感知都有同样的影响。此外,由于发现了外貌评价方面的差异,目标群体的偏好的重要性得到了证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Two-Study Approach to Explore the Effect of User Characteristics on Users' Perception and Evaluation of a Virtual Assistant's Appearance
This research investigates the effect of different user characteristics on the perception and evaluation of an agent’s appearance variables. Therefore, two different experiments have been conducted. In a 3 × 3 × 5 within-subjects design (Study 1; N = 59), three different target groups (students, elderly, and cognitively impaired people) evaluated 30 different agent appearances that varied in species (human, animal, and robot) and realism (high detail, low detail, stylized shades, stylized proportion, and stylized shade with stylized proportion). Study 2 (N = 792) focused on the effect of moderating variables regarding the same appearance variables and aims to supplement findings of Study 1 based on a 3 × 5 between-subjects design. Results showed effects of species and realism on person perception, users’ liking, and using intention. In a direct comparison, a higher degree of realism was perceived as more positive, while those effects were not replicated in Study 2. Further on, a majority evaluated nonhumanoid agents more positively. Since no interaction effects of species and realism have been found, the effects of stylization seem to equally influence the perception for all kind of species. Moreover, the importance of the target group’s preference was demonstrated, since differences with regard to the appearance evaluation were found.
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来源期刊
Multimodal Technologies and Interaction
Multimodal Technologies and Interaction Computer Science-Computer Science Applications
CiteScore
4.90
自引率
8.00%
发文量
94
审稿时长
4 weeks
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