Social Robot Design Preferences from Stakeholders in Dementia Care

116 stakeholders, including people with dementia, informal carers, formal carers, and healthcare providers, participated in an online survey about social robot design preferences. Matthew Green conducted this descriptive exploratory study using Bayesian regression and inductive content analysis. The findings highlight preferences for animal-like robots and concerns about humanoid robots provoking anxiety.

Use Cases

• Analyze stakeholder preferences for robot aesthetics (animal-like vs. humanoid) based on survey responses.
• Investigate perceived acceptability of data capture features (face recognition, camera monitoring) for safety enhancement.
• Model relationships between robot capabilities and audio outputs based on Bayesian regression findings.
• Identify design considerations for telepresence robots regarding technical complexity and communication utility.

Strengths

• Includes responses from 116 participants across four distinct stakeholder groups.
• Combines quantitative Bayesian regression analysis with qualitative inductive content analysis.
• Published under an open CC-BY-4.0 license, facilitating reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is a PDF file of 764.9 KB, indicating a limited scope and likely summary format rather than raw data.

Provenance

Source

figshare

Collection Method

Online survey with multi-method design.

Freshness

Last updated 2026-05-18 04:17:04; freshness should be verified.