Survey Data on Social Robot Design Preferences for Dementia Care Stakeholders

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, which employed Bayesian regression and inductive content analysis. The findings highlight preferences for animal-like robots, concerns about humanoid robots, and key considerations for customizable design.

Use Cases

• Analyzing stakeholder preferences for robot appearance (e.g., animal-like vs. humanoid) based on survey responses
• Investigating the acceptability of data capture features (e.g., face recognition, camera monitoring) for safety and personalization
• Modeling relationships between robot capabilities, audio outputs, and user preferences using Bayesian regression methods
• Supporting co-design approaches for customizable social robots tailored to diverse needs in dementia care

Strengths

• Survey includes responses from 116 participants across four distinct stakeholder groups
• Analysis combines quantitative Bayesian regression with qualitative inductive content analysis
• Results provide specific design considerations, such as aesthetic-function alignment and safety-enhancing data use

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• The dataset is a PDF file (861.5 KB), which may require extraction to access structured data

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