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Record W4323537329 · doi:10.1145/3568294.3579964

Symbiotic Society with Avatars (SSA)

2023· article· en· W4323537329 on OpenAlexaff
Hooman Hedayati, Stela H. Seo, Takayuki Kanda, Daniel J. Rea, Sean Andrist, Yukiko Nakano, Hiroshi Ishiguro

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicSocial Robot Interaction and HRI
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsAvatarTeleoperationRobotPerceptionHuman–computer interactionComputer scienceSocial robotRoboticsArtificial intelligencePsychologyMobile robot

Abstract

fetched live from OpenAlex

Avatar robots can help people extend their physical, cognitive, and perceptual capabilities, allowing people to exceed time and space constraints. In that sense, avatar robots can greatly influence people's lives. However, we have many challenges to be addressed in various scenarios such as avatar-human interaction, operator-avatar interaction, avatar-avatar interaction, ethical and legal issues, technical challenges, and so on. It is indispensable to discuss what the necessary research and technologies are to realize avatars that are well accepted in society while envisioning a future symbiotic society in which people communicate with other people and their avatars. In our previous workshop "Symbiotic Society with Avatars: Social Acceptance, Ethics, and Technologies (SSA)" we focused on the ethical aspect of avatars. In this workshop, our aim is to provide an opportunity for researchers from different backgrounds including social robotics, teleoperation, and mixed reality to come together and discuss the advances and values in a symbiotic society with avatars.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.447
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.013

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.

Opus teacher head0.051
GPT teacher head0.373
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2023
Admission routes1
Has abstractyes

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