MétaCan
Menu
Back to cohort
Record W2063161528 · doi:10.1145/1520340.1520528

Sharing digital photographs in the home by tagging memorabilia

2009· article· en· W2063161528 on OpenAlexaff
Saul Greenberg, Michael Nunes

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInteractive and Immersive Displays
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAffordanceComputer scienceMobile deviceMultimediaComputer graphics (images)Human–computer interactionWorld Wide Web

Abstract

fetched live from OpenAlex

Within the home, digital photos lack the physical affordances that make collocated photo-sharing easy and opportunistic. Family members have difficulty accessing the personal accounts of the photo organizer, navigating to these photos, or finding the desired ones within the vast number of photos stored on disk. Viewing photos on a standard PC screen is also awkward due to crowding. To promote in-home photo sharing, we designed Souvenirs, an RFID-based system that lets people quickly link digital photo sets to physical memorabilia. These memorabilia trigger memories and serve as social instruments; a person can enrich their story-telling by moving the physical memorabilia close to their large-format television screen, and the associated photos are immediately displayed. A person can also bring a mobile device near memorabilia: the photos appear on that display. Through pick and drop, a person can also transfer the photo display from the mobile device to the large screen for easier viewing. This video motivates and illustrates how all this works.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score0.337

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 communication0.0000.001
Open science0.0010.000
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 head0.007
GPT teacher head0.233
Teacher spread0.226 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations2
Published2009
Admission routes1
Has abstractyes

Explore more

Same topicInteractive and Immersive DisplaysFrench-language works237,207