服务员卡组:在共同体验技术时考虑服务员与用户观点的研究与设计工具

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Pia von Terzi, Sarah Diefenbach
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引用次数: 0

摘要

尽管如今我们与技术的许多互动都发生在公共场所(例如在公共交通中使用手机),但人机交互(HCI)的研究和设计却很少关注这种技术使用如何影响在场的其他人,反之亦然。为了说明服务员的视角,即自己不与技术互动,而是作为聆听者或观看者共同体验技术的人的视角,我们开发了所谓的 "服务员卡组"(ACS)。在专家调查和学生研讨会这两项研究中,我们对其实际适用性和实用性进行了测试。结果表明,专家们不仅对这些卡片给予了积极的评价,即有帮助、信息量大、相关性强,而且这些卡片还可以用于非专业人士的观点收集、创意构思和讨论。因此,在 ACS 的帮助下分析和/或比较不同类型的经验,为在研发过程中考虑相关视角提供了一种独特的方法。本文讨论了当前研究的局限性以及未来工具应用的机遇。除了在人机交互中确立这一概念,我们还看到了将其应用于其他领域和环境的潜力,例如公共空间或非技术产品的设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Attendant Card Set: A Research and Design Tool to Consider Perspectives of Attendants versus Users When Co-Experiencing Technology
Although many of our interactions with technology nowadays take place in public places (e.g., using a mobile phone in public transportation), research and design on Human-Computer Interaction (HCI) has paid little attention to how this kind of technology usage affects others present—and vice versa. To illustrate the perspective of the attendant, i.e., a person who is not interacting with technology themselves but co-experiencing it as listener or viewer, we developed the so-called Attendant Card Set (ACS). In two studies, an expert survey and a student workshop, we tested its practical applicability and usefulness. It showed not only that experts assess the cards positively, i.e., helpful, informative, and relevant, but also that the cards can be used with laypersons for perspective-taking, creative ideation, and discussions. Thus, analyzing and/or comparing the experience of different types with the help of the ACS provides a unique approach to the consideration of the attendant perspective in the research and development process. Limitations of the present research and opportunities for future tool applications are discussed. In addition to establishing this concept in HCI, we also see potential in the transferability to other areas and contexts such as the design of public space or non-technological products.
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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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