老年智能语音交互设计与研究

Design and Research of Intelligent Voice Interaction for the Elderly

摘要

人口老龄化加剧与智能技术普及形成鲜明矛盾，老年群体数字鸿沟问题日益突出，智能语音交互凭借无接触、低操作门槛的天然优势，成为改变老年群体智能设备使用困境的关键突破口。本研究基于老年群体生理心理特征与认知规律，聚焦适老化智能语音交互设计核心问题，综合运用文献计量法、用户访谈法、眼动实验法、模糊层次分析法等研究方法，系统开展老年用户语音交互认知机制、设计框架构建、原型开发与验证等研究。研究创新点在于，揭示老年用户语音交互的多维度认知障碍与需求特征，提出涵盖输入、理解、输出、流程四大核心维度的适老化语音交互设计框架，建立量化与质性相结合的可用性评价体系。

Abstract

The intensifying aging population and the widespread adoption of intelligent technology create a stark contradiction, making the digital divide among the elderly increasingly prominent. Intelligent voice interaction, with its inherent advantages of contactless use and low operational threshold, has become a key breakthrough for improving the use of smart devices among the elderly. This study, based on the physiological and psychological characteristics and cognitive patterns of the elderly, focuses on the core issues of age-appropriate intelligent voice interaction design. It systematically conducts research on elderly users’ voice interaction cognitive mechanisms, design framework construction, prototype development, and validation by integrating research methods such as bibliometrics, user interviews, eye-tracking experiments, and fuzzy analytic hierarchy process. The innovative aspect of this study lies in revealing the multidimensional cognitive barriers and needs of elderly users in voice interaction, proposing an age-appropriate voice interaction design framework covering four core dimensions: input, comprehension, output, and process, and establishing a usability evaluation system that combines quantitative and qualitative methods.

关键词

老年用户 / 智能语音交互 / 适老化设计 / 认知特征

Key words

elderly users / intelligent voice interaction / age-appropriate design / cognitive characteristics

参考文献

[1] 张明, 李静, 王浩. 老年用户智能语音交互产品的适老化设计研究[J]. 机械设计, 2022, 39(5): 152-157.

[2] 李娟, 刘敏, 张伟. 基于老年用户认知特征的智能语音交互界面设计[J]. 计算机工程与应用, 2023, 59(12): 234-240.

[3] 陈亮, 张红, 刘静. 智能语音识别技术在适老化产品中的应用研究[J]. 计算机应用研究, 2023, 40(4): 1123-1128.

[4] 赵强, 李阳, 王健. 语音合成技术的适老化优化研究[J]. 声学技术, 2022, 41(2): 256-261.

基金资助

长安大学大学生创新创业训练计划项目资金支持“颐行无忧——老年助行设备的智能匹配方案项目”(202510710091X)