Social Robot Design Preferences from Stakeholders in Dementia Care

An online survey collected preferences from 116 stakeholders, including 11 people with dementia, 90 informal carers, 11 formal carers, and 4 healthcare providers. The study used Bayesian regression and inductive content analysis to examine preferred robot features and design attributes. The dataset was authored by Matthew Green and last updated on 2026-05-18.

Use Cases

• Analyze stakeholder preferences for robot aesthetics (e.g., animal-like vs. humanoid) based on survey responses.
• Model acceptable data capture features (e.g., face recognition, camera monitoring) based on participant feedback.
• Investigate the alignment between robot capabilities and audio outputs with its appearance, as emphasized by participants.

Strengths

• Survey includes responses from 116 participants across four distinct stakeholder groups.
• Analysis combines quantitative Bayesian regression with qualitative inductive content analysis.
• Dataset is openly licensed under CC-BY-4.0.

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 small (781.1 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Online survey using a multi-method design.

Freshness

Last updated 2026-05-18 04:17:03; freshness should be verified.