了解道路上的情绪状况及其对情感汽车ui的意义的调查

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Michael Braun, Bastian Pfleging, Florian Alt
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引用次数: 17

摘要

在本文中,我们提出了一项在线调查的结果(N = 170)在道路上的情绪状况。特别是,我们要求潜在的早期采用者记住他们在开车时感受到强烈的积极或消极情绪的情况。我们的研究的动机是,由于自动驾驶和随之而来的以马力为卖点的驾驶体验的转变,汽车行业即将出现颠覆。这就需要在设计车内界面时关注驾驶员的情感。作为我们研究的结果,我们提出了一套基于现实生活经验的情感汽车界面的主张。通过我们的工作,我们旨在支持情感汽车界面的设计,并为设计师提供一个基础。我们发现受访者经常将积极的情绪与享受他们的独立性联系起来,而消极的体验主要与交通行为有关。经历过消极情况的与会者希望有更好的信息管理和更高程度的自动化。具有积极情绪的司机通常希望更真实地体验这种情况,例如,通过切换到“回归基本”模式。我们探讨了这些陈述,并讨论了未来汽车情感界面设计的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey to Understand Emotional Situations on the Road and What They Mean for Affective Automotive UIs
In this paper, we present the results of an online survey (N = 170) on emotional situations on the road. In particular, we asked potential early adopters to remember a situation where they felt either an intense positive or negative emotion while driving. Our research is motivated by imminent disruptions in the automotive sector due to automated driving and the accompanying switch to selling driving experiences over horsepower. This creates a need to focus on the driver’s emotion when designing in-car interfaces. As a result of our research, we present a set of propositions for affective car interfaces based on real-life experiences. With our work we aim to support the design of affective car interfaces and give designers a foundation to build upon. We find respondents often connect positive emotions with enjoying their independence, while negative experiences are associated mostly with traffic behavior. Participants who experienced negative situations wished for better information management and a higher degree of automation. Drivers with positive emotions generally wanted to experience the situation more genuinely, for example, by switching to a “back-to-basic” mode. We explore these statements and discuss recommendations for the design of affective interfaces in future cars.
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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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