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影响老年人对语音助手接受度的因素。

Factors influencing older adults' acceptance of voice assistants.

作者信息

Cao Xiancai, Zhang Hao, Zhou Bolin, Wang Dahua, Cui Chenhong, Bai Xuejun

机构信息

Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, China.

Faculty of Psychology, Tianjin Normal University, Tianjin, China.

出版信息

Front Psychol. 2024 Mar 7;15:1376207. doi: 10.3389/fpsyg.2024.1376207. eCollection 2024.

Abstract

INTRODUCTION

Voice assistants (VAs) have the potential to uphold and enhance the quality of life for older adults. However, the extent to which older adults accept and benefit from VAs may be relatively modest.

METHODS

This study developed a comprehensive model combined with product and personal characteristics to explain the acceptance of VAs among older adults, using semi-structured interviews (Study 1) and questionnaires (Study 2).

RESULTS

Results revealed that in terms of product characteristics, perceived usefulness and perceived enjoyment significantly affect behavior intention. Regarding personal characteristics of older adults, technological self-efficacy and dispositional resistance to change significantly affect behavior intention. However, no direct impact of perceived ease of use and perceived trust on behavior intention. Additionally, perceived enjoyment influenced both perceived ease of use and perceived usefulness.

DISCUSSION

Results suggested the significant role of technology self-efficacy and dispositional resistance to change in predicting the acceptance of VAs among older adults. Our newly developed model offers valuable insights for tailoring VAs to this demographic during design and implementation.

摘要

引言

语音助手(VA)有潜力维持和提高老年人的生活质量。然而,老年人接受语音助手并从中受益的程度可能相对有限。

方法

本研究通过半结构化访谈(研究1)和问卷调查(研究2),开发了一个结合产品和个人特征的综合模型,以解释老年人对语音助手的接受情况。

结果

结果显示,在产品特征方面,感知有用性和感知愉悦感显著影响行为意向。就老年人的个人特征而言,技术自我效能感和性格上的变革阻力显著影响行为意向。然而,感知易用性和感知信任对行为意向没有直接影响。此外,感知愉悦感影响了感知易用性和感知有用性。

讨论

结果表明技术自我效能感和性格上的变革阻力在预测老年人对语音助手的接受方面具有重要作用。我们新开发的模型为在设计和实施过程中针对这一人群定制语音助手提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/593a/10956694/57ce770ecdd8/fpsyg-15-1376207-g001.jpg

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