peer reviewed · UCAmI 2025 proceedings, Springer (2026) · Apr 1, 2026
Age and User Perceptions of Virtual Humans: A Survey-Based Analysis
Poonam Patil, Surej Mouli
In plain English
A stratified survey of 773 people aged 18 to 80 found willingness to use virtual humans drops steadily with age, across perceived wellbeing benefit, likelihood of use and usefulness in context. Older respondents were not uniformly resistant — they endorsed virtual humans selectively, for particular use cases. If you are deploying a digital human into healthcare or assisted-living settings, this argues against a single persona and general pitch, and for naming the specific task the agent does before asking an older user to engage with it at all.
Abstract
Virtual Humans (VHs), the AI-powered and photorealistic multimodal digital agents are capable of simulating human-to-human interactions. They are increasingly deployed across ubiquitous computing environments to support essential services in healthcare, education, and customer service. Yet, sustained user engagement remains a challenge. This study investigates how age influences user perceptions and adoption intentions of VHs across three dimensions: perceived wellbeing benefits, likelihood of use, and contextual usefulness. A cross-sectional online survey (N = 773) was conducted using a stratified age sample (18-80 years). Statistical analysis revealed significant associations between age and all three dimensions of VH perceptions, with young adults (18-30) and adults (31-50) consistently reporting higher belief in VH effectiveness and stronger intent to use. Older participants showed selective endorsement, often tied to specific use cases. These findings underscore the need for age-inclusive VH design that supports trust, usability, and relevance across ambient and assistive contexts. The study offers actionable insights for developing adaptive, user-centred VH systems that promote equitable access to wellbeing and quality of life enhancing interactive technologies. The paper discusses implications for ubiquitous human-agent interaction design and future research on age-aware digital agents. This study contributes to advancing inclusive human-computer interaction within Ambient, Active, and Assisted Living (A3L) environments.
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