Embodying a Virtual Agent in a Self-Driving Car

IF 0.2 Q4 COMPUTER SCIENCE, CYBERNETICS
Clarisse Lawson-Guidigbe, Nicolas Louveton, Kahina Amokrane-Ferka, Benoît Le Blanc, Jean-Marc André
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Abstract

This article considers the visual appearance of a virtual agent designed to take over the driving task in a highly automated car, to answer the question of which visual appearance is appropriate for a virtual agent in a driving role. The authors first selected five models of visual appearance thanks to a picture sorting procedure (N = 19). Then, they conducted a survey-based study (N = 146) using scales of trust, anthropomorphism, and likability to assess the appropriateness of those five models from an early-prototyping perspective. They found that human and mechanical-human models were more trusted than other selected models in the context of highly automated cars. Instead, animal and mechanical-animal ones appeared to be less suited to the role of a driving assistant. Learnings from the methodology are discussed, and suggestions for further research are proposed.
在自动驾驶汽车中体现虚拟代理
本文考虑了在高度自动化的汽车中接管驾驶任务的虚拟代理的视觉外观,以回答哪个视觉外观适合扮演驾驶角色的虚拟代理的问题。作者首先通过图片排序程序选择了5个视觉外观模型(N = 19)。然后,他们进行了一项基于调查的研究(N = 146),使用信任、拟人化和亲和力量表,从早期原型的角度评估这五种模型的适当性。他们发现,在高度自动化的汽车环境中,人类模型和机械-人类模型比其他选定的模型更受信任。相反,动物和机械动物似乎不太适合担任驾驶助理的角色。讨论了该方法的经验教训,并提出了进一步研究的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
4.70
自引率
0.00%
发文量
5
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