Transdisciplinary Approach in Social Robots: A Repertory Grid Analysis on Perception and Anticipated User Experience

Sena Semizoğlu, Ekrem Cem Alppay
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Abstract

This Social robot can be defined as a physical robot with capabilities of interacting with their surrounding in a social manner. Social robots should be designed both physically and socially. Designing them requires more than technical knowledge and should be taken as a transdisciplinary process in which engineers, program-mers, behavioral scientists and designers co-work. This study aims to explore the transdisciplinary nature of social robots as an emerging social artefact.A repertory grid study is conducted with 13 participants from different back-grounds to reveal the perceptual keywords about social robots. 50 potential users contributed to an anticipated user experience survey to understand their percep-tions. Outcomes of these two studies are compared. Results show that different professions involved have their own approach and way of understanding that cover varying aspects of social robotic field. This highlights the position of this study which supports transdisciplinary work, and believes transdisciplinarity’s positive contributions in the future research.
社交机器人的跨学科方法:感知和预期用户体验的库存网格分析
这种社交机器人可以被定义为具有以社交方式与周围环境互动能力的物理机器人。社交机器人应该从生理和社交两方面进行设计。设计它们需要的不仅仅是技术知识,而且应该被视为一个跨学科的过程,工程师、程序员、行为科学家和设计师在其中合作。本研究旨在探讨作为新兴社会人工制品的社交机器人的跨学科性质。通过对13名来自不同背景的参与者的网格研究,揭示了社交机器人的感知关键词。50名潜在用户参与了一项预期的用户体验调查,以了解他们的看法。比较两项研究的结果。结果表明,不同的专业有自己的方法和理解方式,涵盖了社交机器人领域的不同方面。这突出了本研究支持跨学科工作的立场,并相信跨学科在未来研究中的积极贡献。
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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