公众对老年人语音系统类型的看法。

IF 2 Q3 ENGINEERING, BIOMEDICAL Journal of Rehabilitation and Assistive Technologies Engineering Pub Date : 2024-10-16 eCollection Date: 2024-01-01 DOI:10.1177/20556683241287414
Noah Zijie Qu, Jamy Li, Jaturong Kongmanee, Mark Chignell
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引用次数: 0

摘要

公众舆论可能会影响针对老年人的技术的采用,但针对老年人技术的不同环境的研究却很有限。在YouGov的一项在线调查(N = 500)中,通过文字和图像小插图,当小插图中的语音助手("VA "系统)执行功能性任务(遵医嘱用药)时,参与者对其社会接受度、信任度和对老年护理的感知影响给予了更积极的评价,而当其执行社交任务(陪伴)时,则对其社会接受度、信任度和感知影响给予了更积极的评价。与基于规则的对话系统相比,当 VA 似乎使用了基于机器学习(ML)的对话系统时,它获得了更多积极的情感评价。这些结果可以帮助设计者和利益相关者选择开发哪种类型的语音系统或与老年人一起使用。
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Public opinion on types of voice systems for older adults.

Public opinion may influence the adoption of technologies for older adults, yet studies on different contexts of technology for older adults is limited. In an online YouGov survey (N = 500) with text-and-image vignettes, participants gave more positive ratings of social acceptability, trust, and perceived impact on eldercare when the voice assistant ("VA" system) shown in the vignette performed a functional task (medication adherence) versus when it performed a social task (companionship). The VA received more positive sentiment comments when it appeared to use a machine learning (ML)-based dialogue system compared to when it appeared to be using a rule-based dialogue system. These results may assist designers and stakeholders select what type of voice system to develop or use with older adults.

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