ArticleHeliyon2023
Older adults' intention to use voice assistants: Usability and emotional needs.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- Exploring fear in human-robot interaction: a scoping review of older adults' experiences with social robots.Frontiers in robotics and AI · 2025Pooled it
- Systematic Co-Design of Artificial Intelligence-Enabled Innovations for Healthy Aging: A Demonstration Study Involving Socially Assistive Robots for Dementia Care.International journal of environmental research and public health · 2026Article
- A Multimodal Conversational Chatbot for Emotional Support and Daily Assistance in Older Adults: Design, Development and Pilot Usability Evaluation.Healthcare (Basel, Switzerland) · 2026Article
- Article
- Addressing loneliness by AI chatbot: a qualitative study of empty-nest elderly.BMC public health · 2026Article
- Internet Health Care Service Use Behavioral Pattern Among Older Adults and the Role of the Technology Acceptance and Social Ecological Theory Model: Cross-Sectional Survey.Journal of medical Internet research · 2026Article
- Virtual Assistant as a Companion for Stroke Survivors post Discharge: Thematic Analysis Highlights Expectations of Human Performance Pose a Key Barrier to Engagement.Cerebrovascular diseases (Basel, Switzerland) · 2026Article
- Factors influencing older adults' intention to use social chatbots: examining technology acceptance, anthropomorphism, authenticity, and artificial intelligence social interaction.Innovation in aging · 2026Article
- Functional experiences of a LINE-based chatbot and their associations with system use experience among older adults: a cross-sectional study.Frontiers in public health · 2026Article
- The Tool, the Pet, the Carer & the Warden: A Conceptual Framework of How Older Adults Perceive Socially Assistive Robots.Information systems frontiers : a journal of research and innovation · 2026Article
- Exploring the psychological factors influencing intention to use AI virtual companions: an SEM-ANN study.Frontiers in psychology · 2026Article
- Latent obstacles in older adults' digital health participation: a community-based hybrid cluster analysis with natural language processing.BMC public health · 2025Article
- Examining Technology Perspectives of Older Adults With Mild Cognitive Impairment: Scoping Review.JMIR aging · 2025Article
- Conversational Systems for Social Care in Older Adults: Protocol for a Scoping Review.JMIR research protocols · 2025Article
- Low-Income Older Adults' User Challenges and Preferences Related to Voice Interface Design on Smart Speakers.Journal of gerontological nursing · 2025Article
- Effects of access to primary healthcare services on health vulnerability among older adults in China: focusing on demographic differences.Frontiers in public health · 2025Article
- Factors influencing older adults' adoption of AI voice assistants: extending the UTAUT model.Frontiers in psychology · 2025Article
- Understanding older adults' adoption of facial recognition payment: An integrated model of TAM and UXT.PloS one · 2025Article
- Factors influencing older adults' acceptance of voice assistants.Frontiers in psychology · 2024Article
- When "Aging" meets "Intelligence": smart health cognition and intentions of older adults in rural Western China.Frontiers in psychiatry · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Population aging is a global problem, and improving the well-being of older adults is an urgent issue. Voice assistants (VAs) offer hands-free voice control and friendly human-computer interaction, making them a significant solution to address the aging problem. Most extant research on VAs is fragmented, and there are relatively few studies conducted from the perspective of emotional needs. This work proposes a comprehensive research model extending the technology acceptance model (TAM) by incorporating the influencing factors subordinate to two research directions: usability and emotional needs. Usability needs include three factors: perceived convenience, security/privacy, and Internet self-efficacy. Emotional needs include humanized interaction, perceived enjoyment, and perceived companionship. A structural equation model (SEM) was used to validate the model empirically with a sample of 425 older users of VAs. The analysis results are quite consistent with the research assumptions, and the findings illustrate that companionship is the most critical factor affecting older adults' intention to adopt VA use, which demonstrates the pivotal role of VAs in meeting the emotional needs of the elderly. The most unexpected observation was seen for the relationship between perceived ease of use and behavioral intention, which was non-significant. This result confirms that when a technology is perceived as very easy to use, perceived ease of use has little to no impact on individuals' intention to use that technology. The novelty of this study lies in the investigation of older adults' behavioral intentions toward using VAs, providing valuable insights for the design and development of VAs tailored for the elderly population. Beyond the academic realm, this research serves as direct inspiration for designers, developers, and policymakers in the fields of assistive technologies and geriatric care. It offers practical insights into creating VAs that effectively address the emotional needs of older adults and enhance their quality of life. Furthermore, elderly individuals are poised to experience significant benefits from the outcomes of this study,the insights garnered from this study empower the elderly to embrace technological advancements that align with their preferences and comfort levels. This study contributes to a more comprehensive understanding of VAs and their potential to enhance the well-being of older adults, while also paving the way for future investigations in this domain. As underscored by this study's emphasis on the significance of emotional needs in technology acceptance, it encourages the adoption of more user-centered design strategies in the development of future VAs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.