首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Which Visual Modality Is Important When Judging the Naturalness of the Agent (Artificial Versus Human Intelligence) Providing Recommendations in the Symbolic Consumption Context?
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Which Visual Modality Is Important When Judging the Naturalness of the Agent (Artificial Versus Human Intelligence) Providing Recommendations in the Symbolic Consumption Context?

机译:当判断代理人(人造与人类智能)的自然时视觉模态是重要的在象征性的消费语境中提供建议?

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摘要

This study aimed to explore how the type and visual modality of a recommendation agent’s identity affect male university students’ (1) self-reported responses to agent-recommended symbolic brand in evaluating the naturalness of virtual agents, human, or artificial intelligence (AI) and (2) early event-related potential (ERP) responses between text- and face-specific scalp locations. Twenty-seven participants (M = 25.26, SD = 5.35) whose consumption was more motivated by symbolic needs (vs. functional) were instructed to perform a visual task to evaluate the naturalness of the target stimuli. As hypothesized, the subjective evaluation showed that they had lower attitudes and perceived higher unnaturalness when the symbolic brand was recommended by AI (vs. human). Based on this self-report, two epochs were segmented for the ERP analysis: human-natural and AI-unnatural. As revealed by P100 amplitude modulation on visual modality of two agents, their evaluation relied more on face image rather than text. Furthermore, this tendency was consistently observed in that of N170 amplitude when the agent identity was defined as human. However, when the agent identity was defined as AI, reversed N170 modulation was observed, indicating that participants referred more to textual information than graphical information to assess the naturalness of the agent.
机译:本研究旨在探讨推荐代理商的身份的类型和视觉模型如何影响男性大学生(1)对代理人推荐的象征品牌的自我报告的符号品牌评估虚拟药物,人类或人工智能(AI)的自然(2)文本和面对特定的头皮地点之间的早期事件相关潜力(ERP)响应。通过符号需求(VS.功能),27名参与者(M = 25.26,SD = 5.35),其消费更具符号需求(与功能)进行了激励,以进行视觉任务以评估目标刺激的自然度。如假设,主观评价表明,当AI(与人类)推荐象征品牌时,它们具有较低的态度和感知更高的不自然。基于这种自我报告,将两名时期分段为ERP分析:人自然和AI非自然。如P100幅度调制在两个代理的视觉模型上透露,它们的评估更多地依赖于面部图像而不是文本。此外,当试剂标识定义为人时,始终如一地观察到这种趋势。然而,当代理标识定义为AI时,观察到反转的N170调制,表明参与者比图形信息更多地提及文本信息,以评估代理的自然性。

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