通过工程心理学方法设计交互式玻璃:六个增强现实场景,设想未来汽车人机界面

Q1 Computer Science
Wei Liu , Yancong Zhu , Ruonan Huang , Takumi Ohashi , Jan Auernhammer , Xiaonan Zhang , Ce Shi , Lu Wang
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引用次数: 5

摘要

随着越来越多的车辆变得自动、智能和互联,关注未来汽车人机界面(HMI)与这些车辆的使用也应该变得更加相关。虽然汽车人机界面已经在一些科学研究中得到了解决,但很少有人关注在日常(自动)驾驶环境中设计和实现交互式玻璃。通过反思之前在理论和实践中发现的东西,我们描述了一个工程心理学实践和六个新的未来用户场景的设计,这些场景设想了一套特定的增强现实(AR)支持用户交互的应用。我们还对场景和体验原型进行了评估,发现这些AR场景支持我们的目标用户群体体验一种新型的交互。总体评价是积极的,并提出了一些有价值的评价结果和建议。我们设想,这篇论文将引起应用心理学教育者的兴趣,他们渴望向缺乏工程心理学专业知识或科学知识的学生教授如何在以人为本的设计(HCD)过程中操作AR。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing interactive glazing through an engineering psychology approach: Six augmented reality scenarios that envision future car human-machine interface

With more and more vehicles becoming autonomous, intelligent, and connected, paying attention to the future usage of car human-machine interface (HMI) with these vehicles should also get more relevant. While car HMI has been addressed in several scientific studies, little attention is being paid to designing and implementing interactive glazing into everyday (autonomous) driving contexts. Through reflecting on what was found before in theory and practice, we describe an engineering psychology practice and the design of six novel future user scenarios, which envision the application of a specific set of augmented reality (AR) support user interactions. We also present evaluations conducted with the scenarios and experiential prototypes and found that these AR scenarios support our target user groups in experiencing a new type of interactions. The overall evaluation was positive, with some valuable assessment results and suggestions. We envision that this paper will interest applied psychology educators who aspire to teach how to operationalize AR in a human-centered design (HCD) process to students with little preexisting expertise or little scientific knowledge about engineering psychology.

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来源期刊
Virtual Reality  Intelligent Hardware
Virtual Reality Intelligent Hardware Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.40
自引率
0.00%
发文量
35
审稿时长
12 weeks
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