An Irish ‘Traveling’ Air-Purification Robot in a Care Home in Tokyo: Why Do Humanities and Social Science Matter?
Bibliographic record
Abstract
This paper examines the adoption process of an Irish air-purification robot in a nursing home in Japan. For the three-year project, researchers and engineers, interested in exploring human-robot interactions, formed a transdisciplinary team. Stemming from the concept of user-centered design, one original air-purification robot was produced and tested in one care facility each in Ireland and Japan. The robot ‘traveled’ from Dublin to Tokyo, and spent three months working in a residential care home where its interactions with users were observed. Based on ‘digital technography’ and ‘matters of concern’, the paper describes the research processes, treating this as a journey of the robot, and how it was imagined (at the design stage in Ireland) and reimagined in a different cultural context (at the point of use in Japan). The paper refers to challenges that we as transdilsciplinary researchers encountered along the way, while emphasizing the significance of deciphering the human ‘context’ in which AI and robotics are applied. The paper seeks to answer why humanities and social sciences research matter greatly.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".