Like My Aunt Dorothy: Effects of Conversational Styles on Perceptions, Acceptance and Metaphorical Descriptions of Voice Assistants during Later Adulthood
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Abstract (arXiv)
Little research has investigated the design of conversational styles of voice assistants (VA) for adults in their later adulthood with varying personalities. In this Wizard of Oz experiment, 34 middle-aged (50 to 64 years old) and 24 older adults (65 to 80 years old) participated in a user study at a simulated home, interacting with a VA using either formal or informal language. Older adults with higher agreeableness perceived VA as being more likeable than middle-aged adults. Middle-aged adults showed similar technology acceptance toward the informal and formal VA, and older adults preferred using informal VA, especially those with low agreeableness. Further, while both middle-aged and older adults frequently anthropomorphized VAs by using human metaphors for them, older adults compared formal VA with professionals (e.g., librarians, teachers) and informal VA with their close ones (e.g., spouses, relatives). Overall, the conversational style showed differential effects on the perceptions of middle-aged and older adults, suggesting personalized design implications.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 Sep 2023.
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Citing papers per year: 2025: 5; 2026: 3.
8 papers.
- 2025Where Do I 'Add the Egg'?: Exploring Agency and Ownership in AI Creative Co-Writing Systemscited by 7
- 2025Toward Metaphor-Fluid Conversation Design for Voice User Interfacescited by 5
- 2025Vibe Check: Understanding the Effects of LLM-Based Conversational Agents' Personality and Alignment on User Perceptions in Goal-Oriented Taskscited by 4
- 2025Design and Evaluation of Generative Agent-based Platform for Human-Assistant Interaction Research: A Tale of 10 User Studiescited by 2
- 2025Exploring User Acceptance and Concerns toward LLM-powered Conversational Agents in Immersive Extended Realitycited by 0
- 2026After Talking with 1,000 Personas: Learning Preference-Aligned Proactive Assistants From Large-Scale Persona Interactionscited by 0
- 2026Behavior-Adaptive Conversational Agents: Toward a Fluid Personality Frameworkcited by 0
- 2026"MeBo Leaves a Piece of You Behind": Designing a Relational Voice-Based Memory Companion for Older Adultscited by 0
- 2026"MeBo Leaves a Piece of You Behind": Designing a Relational Voice-Based Memory Companion for Older Adults21 Sep 2026
- 2026Behavior-Adaptive Conversational Agents: Toward a Fluid Personality Framework1 Jul 2026
- 2026After Talking with 1,000 Personas: Learning Preference-Aligned Proactive Assistants From Large-Scale Persona Interactions3 Feb 2026
- 2025Exploring User Acceptance and Concerns toward LLM-powered Conversational Agents in Immersive Extended Reality17 Dec 2025
- 2025Where Do I 'Add the Egg'?: Exploring Agency and Ownership in AI Creative Co-Writing Systems18 Sep 2025
- 2025Vibe Check: Understanding the Effects of LLM-Based Conversational Agents' Personality and Alignment on User Perceptions in Goal-Oriented Tasks11 Sep 2025
- 2025Design and Evaluation of Generative Agent-based Platform for Human-Assistant Interaction Research: A Tale of 10 User Studies15 May 2025
- 2025Toward Metaphor-Fluid Conversation Design for Voice User Interfaces17 Feb 2025