Social Robot Interactions in a Pediatric Hospital Setting: Perspectives of Children, Parents, and Healthcare Providers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Socially assistive robots are embodied technological artifacts that can interact socially with people. These devices are increasingly investigated as a means of mental health support in different populations, especially for alleviating loneliness, depression, and anxiety. While the number of available, increasingly sophisticated social robots is growing, their adoption is slower than anticipated. There is much effort to determine the effectiveness of social robots in various settings, including healthcare; however, little is known about the acceptability of these devices by the following distinct user groups: healthcare providers, parents, and children. To better understand the priorities and attitudes of social robot users, we carried out (1) a survey of parents and children who have previously been admitted to a hospital and (2) a series of three modified focus group meetings with healthcare providers. The online survey (n = 71) used closed and open-ended questions as well as validated measures to establish the attitudes of children and parents towards social human–robot interaction and identify any potential barriers to the implementation of a robot intervention in a hospital setting. In the focus group meetings with healthcare providers (n = 10), we identified novel potential applications and interaction modalities of social robots in a hospital setting. Several concerns and barriers to the implementation of social robots were discussed. Overall, all user groups have positive attitudes towards interactions with social robots, provided that their concerns regarding robot use are addressed during interaction development. Our results reveal novel social robot application areas in hospital settings, such as rapport-building between patients and healthcare providers and fostering patient involvement in their own care. Healthcare providers highlighted the value of being included and consulted throughout the process of child–robot interaction development to ensure the acceptability of social robots in this setting and minimize potential harm.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it