The Impact of Interactive Feedback in Mobile Medical Guidance on the Cognitive Load of the Elderly: A Comparative Experimental Study

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Authors: Shuang Wang, Yanmin Xue, Kai Qi, Wei Zhou, Mengcheng Wang, Yang Liu, Zhi Qiang Qiao
Cited by: 1
References: 87

Abstract

Interactive feedback modalities affect the cognitive load of elderly users. This study aimed to investigate the differences in cognitive load between young and older adults during medical guidance interactions, as well as the impact of different feedback modalities on the cognitive load of the elderly. An interactive experiment was conducted using a mobile health platform, with four feedback conditions (No Feedback, Highlight Feedback, Text Feedback, and Voice Feedback) set as independent variables. Forty participants (20 young and 20 elderly) were recruited. Cognitive load was assessed through physiological measures, including heart rate variability (HRV) and electroencephalogram (EEG), along with standardized cognitive scales. The results revealed significant differences in cognitive load between the two age groups, with older adults experiencing lower cognitive load under voice feedback. These findings provide valuable insights for developing more effective and age-friendly intelligent interaction designs in mobile healthcare contexts.

Fields of Study & Subjects

Technology Use by Older Adults Human-Automation Interaction and Safety Older Adults Driving Studies

Publication details

Journal / source
International Journal of Human-Computer Interaction
Publisher
Informa UK Limited
Volume
42
Issue
17
Pages
14443–14468
Publication date
13 January 2026
Language
EN