Questions and Assignments from Focus Groups on Social Robots in Elder Care

24 healthcare professionals across three nursing homes participated in two consecutive focus group sessions investigating the potential value of social robots in daily care. The dataset likely contains qualitative data from these discussions, including expected benefits and barriers to implementation. Sanja Balalic published the data on figshare in May 2026.

Use Cases

• Analyze healthcare professionals' expectations for social robots based on themes like reduced workload and mental strain.
• Identify potential barriers to robot implementation based on reported concerns like limited technical knowledge.
• Explore expected benefits for residents based on concepts like promotion of self-care and provision of companionship.
• Compare suggestions for practical robot applications across different nursing home contexts.

Strengths

• Data is derived from 24 healthcare professionals across three nursing homes.
• The study design involved two consecutive focus group sessions for cross-validation and in-depth discussion.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Dataset size is only 9.5 KB, indicating a very limited scope of content.
• Row count and column-level documentation are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

figshare

Collection Method

Data were gathered from two consecutive focus group sessions and analysed using qualitative thematic analysis.

Freshness

Last updated 2026-05-11 17:33:41; freshness should be verified.

Geography

Data collection occurred across three nursing homes; specific locations are not stated.