GuideMe: A VLM-Based System Assisting Independent Smartphone Learning for Older Adults

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Authors: Kairong Fang, Jiesi Zhang, Shi-Ting Ni, Pan Hui, Yuyang Wang
Cited by: 1
References: 65

Abstract

Due to age-related cognitive and physical decline, older adults face numerous difficulties when learning new functions of smartphone applications. However, older adults often struggle to ask questions clearly and follow instructions independently. Through a formative study (N=16), we identified the behaviors and challenges of older adults seeking help independently and analyzed the effective mechanism of in-person instruction. Based on these findings, we proposed GuideMe, an in-situ conversational instruction system for older adults’ application learning. GuideMe utilizes Vision-Language-Models to analyze multimodal context in users’ situations, then assists users in confirming their intentions by asking clarifying questions, and finally provides step-by-step instructions using in-situ highlight and deictic gestures. We conducted a user study (N=18) that demonstrated that GuideMe significantly reduced users’ cognitive load during learning, helped them ask questions and follow instructions efficiently, and achieved performance comparable to that of in-person instruction.

Fields of Study & Subjects

Technology Use by Older Adults Personal Information Management and User Behavior Innovative Human-Technology Interaction

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–19
Publication date
13 April 2026