# Reducing Loneliness Among Aging Adults: The Roles of Personal Voice Assistants and Anthropomorphic Interactions

**Authors:** Valerie K. Jones, Michael Hanus, Changmin Yan, Marcia Y. Shade, Julie Blaskewicz Boron, Rafael Maschieri Bicudo

PMC · DOI: 10.3389/fpubh.2021.750736 · 2021-12-10

## TL;DR

This study shows that using voice assistants like Amazon Echo can reduce loneliness in older adults, especially when interactions feel more human-like.

## Contribution

The study identifies anthropomorphic interactions as a novel mechanism for reducing loneliness in aging adults using personal voice assistants.

## Key findings

- Loneliness significantly decreased after 4 weeks of using a personal voice assistant.
- Four anthropomorphic interaction themes were identified, including greetings and polite requests.
- Baseline loneliness predicted how users anthropomorphized the voice assistant over time.

## Abstract

The perception of feeling lonely is an influential factor in determining quality of life among aging adults. As the US Census Bureau projects that the number of Americans ages 65 and older will double by 2060, reducing loneliness is imperative. Personal voice assistants (PVAs) such as Amazon's Echo offer the ease-of-use of voice control with a friendly, helpful artificial intelligence. This study aimed to understand the influence of a PVA on loneliness reduction among adults of advanced ages, i.e., 75+, and explore anthropomorphism as a potential underlying mechanism. Participants (N = 16) ages 75 or older used an Amazon Echo PVA for 8 weeks in an independent living facility in the Midwest. Surveys were used to collect information about perceived loneliness, and PVA interaction data was recorded and analyzed. Participants consistently exceeded the required daily interactions. As hypothesized, after the first 4 weeks of the intervention, aging adults reported significantly lower loneliness (baseline mean = 2.22, SD = 0.42; week 4 mean = 1.99, SD = 0.45, Z = −2.45, and p = 0.01). Four dominant anthropomorphic themes emerged after thematic analysis of the entire 8 weeks' PVA interaction data (Cohen's Kappa = 0.92): (1) greetings (user-initiated, friendly phrases); (2) comments/questions (user-initiated, second-person pronoun), (3) polite interactions (user-initiated, direct-name friendly requests), (4) reaction (user response to Alexa). Relational greetings predicted loneliness reductions in the first 4 weeks and baseline loneliness predicted relational greetings with the PVA during the entire 8 weeks, suggesting that anthropomorphization of PVAs may play a role in mitigating loneliness in aging adults.

## Full-text entities

- **Diseases:** social and emotional loneliness (OMIM:300082), PVA (MESH:D014832), inability to live independently (MESH:D064129), inability to drive (MESH:C564980), self-harm (MESH:D012652), depression (MESH:D003866), COVID-19 (MESH:D000086382), functional decline (MESH:D060825), death (MESH:D003643), AI (MESH:C538142)
- **Chemicals:** Alexa (-)
- **Species:** Felis catus (cat, species) [taxon 9685], Homo sapiens (human, species) [taxon 9606]

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC8702424/full.md

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Source: https://tomesphere.com/paper/PMC8702424