Sorry to Interrupt, But May I Have Your Attention? Preliminary Design and Evaluation of Autonomous Engagement in HRI
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
The design and the evaluation of an autonomous interactive robot is a challenging research endeavor because there is as much to learn from the interaction between the integrated technologies as there is from the embodied human-robot interaction, in addition to observing their mutual interdependencies. This paper reports on IRL-0, a prototyping platform that we used to conduct preliminary studies on the influences of combining verbal and nonverbal modalities (facial expressions, head movement, arm gestures, and approach trajectory) for engaging interaction with people in controlled conditions and in real-world settings. IRL-0 is made of a compliant omnidirectional mobile base equipped with an expressive face and a three degrees-of-freedom (DOFs) compliant arm. By assembling this prototype and conducting these preliminary studies, our objective is to acquire insights in terms of design (e.g., technology, control) and experimental procedures that are important to take into consideration for the designing and evaluating autonomous robots engaging interaction with people.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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