图书情报知识 ›› 2024, Vol. 41 ›› Issue (5): 46-55.doi: 10.13366/j.dik.2024.05.046

• 学术聚焦·老年人的数字化生存 • 上一篇    下一篇

融入经验知识的人智交互方式对老年用户信任体验的影响

孙辛欣1 孙亚楠1 赵宇翔2 陈卓婧1   

  1. 1.南京理工大学设计艺术与传媒学院,南京,210094;
    2.南京大学信息管理学院,南京,210008
  • 出版日期:2024-09-10 发布日期:2024-11-03
  • 通讯作者: 孙辛欣(ORCID:0009-0005-4098-7166),博士,副教授,研究方向:智能设计,Email:sunxinxinde@126.com。
  • 作者简介:孙亚楠(ORCID:0009-0002-5360-373X),硕士,研究方向:交互设计,Email:yana003@163.com;赵宇翔(ORCID:0000-0001-9281-3030),博士,教授,研究方向:人机交互,用户信息行为,Email:yxzhao@vip.163.com;陈卓婧(ORCID:0009-0007-8897-9653),硕士,研究方向:智能设计,Email:czj2035@outlook.com。
  • 基金资助:
    本文系教育部人文社会科学研究项目“促进养老机器人社交智能的多模态交互及服务系统设计研究”(22YJCZH156)和国家自然科学基金面上项目“价值共创视角下老年群体数字素养的影响机理与培育模式研究”(72374104)的研究成果之一。

The Effect of an Empirical Knowledge-based Human-AI Interaction Approach on the Trust Experience of Older Adults

SUN Xinxin SUN Yanan ZHAO Yuxiang CHEN Zhuojing   

  1. 1. School of Design Art and Media, Nanjing University of Science and Technology, Nanjing, 210094;
    2. School of Information Management, Nanjing University, Nanjing, 210008
  • Online:2024-09-10 Published:2024-11-03
  • Contact: Correspondence should be addressed to SUN Xinxin, Email: sunxinxinde@126.com, ORCID:0009-0005-4098-7166
  • Supported by:
    This is an outcome of the Humanities and Social Sciences Project "Promote the Multi-Modal Interaction and Service System Design Research of Social Intelligence of Elderly Care Robots"(22YJCZH156)supported by Ministry of Education of the People's Republic of China and the project "Investigation on Influence Mechanisms of Older Adults' Digital Literacy and the Related Cultivation Modes: A Value Co-Creation Perspective"(72374104)supported by National Natural Science Foundation of China.

摘要: [目的/意义]深度老龄化社会下智慧居家养老成为重要趋势,目前人智交互中较差的透明度和可解释性,造成老年人对智能体的技术接受度低,信任体验差的问题。探索应用经验知识的交互控制方式与智能体反馈方式的作用,有助于提升老年用户的使用意愿,为人智交互设计提供新方向。[研究设计/方法]构建人智交互受控实验,采取3(交互控制方式:语音/APP/拉绳)×2(交互反馈方式:平静/活跃)两因素混合实验,共招募三组被试,每组各30名老年人分别观看智能摄像头的2组交互演示视频,用量表度量人智交互的信任体验。[结论/发现]对于智能体隐私回避功能,当经验知识应用于人智交互控制方式能够显著影响老年群体的交互信任体验,拉绳控制的信任程度显著优于语音控制和App控制,上述影响在平静反馈时存在;而活跃反馈时经验知识对信任体验效果的影响受到抑制,且拉绳控制同语音控制之间无显著差异。[创新/价值]聚焦于经验知识在人智交互控制方式中对老年人信任体验的影响,通过受控实验精确度量老年人信任体验,为从信任层面优化用户体验设计提供理论基础,丰富了智能体交互设计的基本准则。

关键词: 人智交互, 信任体验, 经验知识, 隐私回避, 老年用户

Abstract: [Purpose/Significance] In the context of a rapidly aging society, smart home care for the elderly has emerged as a crucial trend. Currently, poor transparency and interpretability in human-machine interactions cause low acceptance of intelligent technology and poor trust experience among the elderly. Exploring the role of interactive control methods and agent feedback mechanisms that incorporating experiential knowledge can contribute to improve the intention of elderly users and offer a novel trajectory for the design of human-intelligent interaction. [Design/Methodology] A controlled experiment of human-intelligence interaction was constructed, and a two-factors mixed experiment of 3(interaction control mode: voice/App/mechanical)×2(interaction feedback mode: calm/active)was conducted. Three groups of subjects were recruited, with 30 older adults in each group watching two sets of interaction demonstration videos of smart cameras, and the trust experience of human-intelligence interaction was measured by scale. [Findings/Conclusion] For the privacy avoidance function of the agent, when empirical knowledge is applied to the human-intelligence interaction control method, the interaction trust experience of the aged population can be significantly affected. The trust degree of pull cord control is significantly better than that of voice control and App control and the above effect exists in the calm feedback. During active feedback, the influence of experiential knowledge on trust experience is suppressed, and there is no significant difference between pull cord control and voice control. [Originality/Value] Focusing on the influence of experiential knowledge on the trust experience of older adults in the control mode of human-intelligent interaction, this paper accurately measures the trust experience of the seniors through controlled experiments, providing a theoretical basis for optimizing the interaction experience from the level of the trust experience, and enriching the basic criteria of intelligent agents interaction design.

Key words: Human-intelligence interaction, Trust experience, Empirical knowledge, Privacy avoidance, Older adults