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Record W2054097007 · doi:10.1145/2684380.2684382

ISA 2013 workshop report: a report on the Fifth International Workshop on Indoor Spatial Awareness

2014· article· en· W2054097007 on OpenAlexaff
Martin Tomko, Scott Bell, Ki-Joune Li

Bibliographic record

VenueSIGSPATIAL Special · 2014
Typearticle
Languageen
FieldComputer Science
TopicContext-Aware Activity Recognition Systems
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsComputer scienceThe InternetPopulationHuman–computer interactionMultimediaData scienceWorld Wide Web

Abstract

fetched live from OpenAlex

In our increasingly urbanized world, the World's population spends more and more time indoors. Indoor environments become our new natural habitat, and we conduct more and more activities enclosed by walls, moving vertically rather then horizontally, and without direct access to sunlight. Our daily activities are assisted by a range of sensors and human-machine interfaces that assist our senses and facilitate the transition between indoor and outdoor environments. The combination of the unnatural indoor environments, novel technologies augmenting our interaction, and the ubiquitous connection to the Internet results in an entirely new ecosystem with particular challenges to our spatial abilities, spatial interactions (between humans, machines and the built environment) and spatial needs. The series of ACM Workshops on Indoor Spatial Awareness addresses these challenges and explores the cognitive and semantic challenges, positioning and data processing requirements and technological innovations needed to facilitate the smooth transition to this ecosystem.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.856
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.036
GPT teacher head0.285
Teacher spread0.248 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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