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Record W4307366294 · doi:10.1145/3569887

An Underdeveloped Metaphor: The Mismatched Designs and Motivations of Digital Picture Interactions

2022· article· en· W4307366294 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

VenueACM Transactions on Computer-Human Interaction · 2022
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMetaphorReminiscenceAsideSpace (punctuation)AestheticsVisual artsSociologyComputer sciencePsychologyArtCognitive psychologyLiteratureLinguistics

Abstract

fetched live from OpenAlex

Picture interactions are key to daily and long-term social connections between families and communities, especially through reminiscence. Across the nearly 200-year history of domestic photography, this social reminiscence has been accomplished largely through photo albums. However, in the now common digital setting, albums are pushed aside for the endless film roll metaphor. In this article, we explore this metaphor through the 20-year history of proposed digital picture interactions from Human–Computer Interaction research, and compare this to ongoing interactions with modern picture tools. Through these, we reveal that this prominent design metaphor does not create space for social reminiscence, but does fit the novel use of immediate sharing seen across social networking. Furthermore, the endless and ever-growing nature of digital film rolls are not meaningfully browsable for either intended use. We close by reconnecting to the past works that explore the broad potential of digital pictures.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.783
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.002
Open science0.0020.000
Research integrity0.0000.001
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 head0.054
GPT teacher head0.312
Teacher spread0.258 · 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