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Record W1972539544 · doi:10.1145/2390867.2390871

Mobile augmented reality for interpretation of archaeological sites

2012· article· en· W1972539544 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicAugmented Reality Applications
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsInterpretation (philosophy)Augmented realityCultural heritageComputer scienceArchaeologyKey (lock)HistoryHuman–computer interactionComputer security

Abstract

fetched live from OpenAlex

Heritage interpretation plays a key role in understanding, imagining, and appreciating tangible cultural heritage, including historic sites. Interpretation becomes critical for visitors to historic sites that are partially or fully buried or in ruins, which is most often the case for archaeological sites. However, it remains a challenge for developers of AR systems and content to navigate the plethora of technologies and requirements in this evolving area. In response, we present the design of Arbela Layers Uncovered (ALU), a mobile Augmented Reality (AR) system for the ancient site of Arbela, Iraq. The site consists of an accumulation of buried layers left by successive civilizations inhabiting the area. In addition to describing the objectives of ALU, we discuss the development of a proof-of-concept and the design decisions involved. ALU features media for guiding visitors and interpreting and presenting the complex and multifaceted history of the site.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.893
Threshold uncertainty score0.196

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)0.0000.000

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.

Opus teacher head0.041
GPT teacher head0.329
Teacher spread0.288 · 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

Quick stats

Citations26
Published2012
Admission routes1
Has abstractyes

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