通过用户体验目标改进机器人设计:采摘任务中的人机协作研究

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Ana Pinto, Inês Duarte, Carla Carvalho, Luís Rocha, Joana Santos
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引用次数: 0

摘要

协作机器人在各行各业的应用正在迅速增长。为确保这些设备的成功实施,在设计过程中考虑用户体验(UX)至关重要。本研究旨在测试用户在编程和协作阶段与协作机器人交互时产生的用户体验目标。将在葡萄牙的地理环境中测试用户体验目标框架。为此,我们引入了实验室案例研究形式的实验装置,结合定量(应用用户体验问卷[UEQ])和定性(半结构式访谈)指标对人机协作(HRC)进行评估。样本由 19 名大学生组成。定量方法显示,编程阶段的用户体验总体评价良好,吸引力平均值最高(M = 2.21;SD = 0.59),可靠性最低(M = 1.64;SD = 0.65)。在协作阶段,所有用户体验评分都是正面的,吸引力的平均值最高(M = 2.46;SD = 0.78),效率最低(M = 1.93;SD = 0.77)。只有透视性在两个阶段之间存在明显差异(t(18) = -4.335,p = 0.002)。根据所使用的框架,定性方法表明,效率、灵感和可用性是内容分析中提及最多的用户体验目标。这些发现通过改进组织中的 cobot 设计,提高了制造业工人的幸福感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Enhancing Cobot Design Through User Experience Goals: An Investigation of Human–Robot Collaboration in Picking Tasks

Enhancing Cobot Design Through User Experience Goals: An Investigation of Human–Robot Collaboration in Picking Tasks

The use of collaborative robots in industries is growing rapidly. To ensure the successful implementation of these devices, it is essential to consider the user experience (UX) during their design process. This study is aimed at testing the UX goals that emerge when users interact with a collaborative robot during the programming and collaborating phases. A framework on UX goals will be tested, in the geographical context of Portugal. For that, an experimental setup was introduced in the form of a laboratory case study in which the human–robot collaboration (HRC) was evaluated by the combination of both quantitative (applying the User Experience Questionnaire [UEQ]) and qualitative (semistructured interviews) metrics. The sample was constituted by 19 university students. The quantitative approach showed positive overall ratings for the programming phase UX, with attractiveness having the highest average value (M = 2.21; SD = 0.59) and dependability the lowest (M = 1.64; SD = 0.65). For the collaboration phase, all UX ratings were positive, with attractiveness having the highest average value (M = 2.46; SD = 0.78) and efficiency the lowest (M = 1.93; SD = 0.77). Only perspicuity showed significant differences between the two phases (t(18) = −4.335, p = 0.002). The qualitative approach, at the light of the framework used, showed that efficiency, inspiration, and usability are the most mentioned UX goals emerging from the content analysis. These findings enhance manufacturing workers’ well-being by improving cobot design in organizations.

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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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