Supplementary file 1_Healthcare professionals’ perspectives on usefulness, acceptability a

France-based survey of 148 healthcare professionals examining perceptions of socially assistive robots. Lauriane Blavette authored this cross-sectional study, which was last updated in June 2026. The analysis includes descriptive statistics, non-parametric tests, and principal component analysis with hierarchical clustering.

Use Cases

• Identify attitudinal profiles among healthcare workers based on cluster analysis results.
• Compare perceived usefulness across different robot use cases, such as physical tasks versus therapeutic mediation.
• Analyze the relationship between prior knowledge of robots and reported acceptability.
• Evaluate the importance of implementation factors like ethical and organizational safeguards.
• Study the conditional nature of acceptability linked to perceived usefulness and context.

Strengths

• 148 survey participants provide a sample for analysis.
• 48-item questionnaire covers sociodemographic characteristics, knowledge, usefulness, and acceptability.
• Analysis includes principal component analysis and hierarchical clustering to identify three distinct attitudinal profiles.
• 77% of participants reported prior knowledge of robots, indicating a relevant sample.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic bias inherent to a single-country (France) survey.

Provenance

Source

figshare

Collection Method

Self-administered 48-item cross-sectional survey.

Freshness

Last updated 2026-06-04 05:18:35; freshness should be verified.

Geography

France