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Record W2611438617 · doi:10.1145/3027063.3053205

Connecting Family Members Across Time Through Shared Media

2017· article· en· W2611438617 on OpenAlex
Yasamin Heshmat, Carman Neustaedter, Lillian Yang, Thecla Schiphorst

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
TopicInnovative Human-Technology Interaction
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsAsynchronous communicationComputer sciencePoint (geometry)NarrativePersonalizationMIMOValue (mathematics)MultimediaHuman–computer interactionWorld Wide WebTelecommunicationsMathematics

Abstract

fetched live from OpenAlex

Family members often rely on technology to connect and maintain their relationships over distance. Yet because of conflicting schedules and time zone differences, it can be hard to communicate synchronously with others. To help address this problem we explored the design of an asynchronous media sharing application called Mimo. Mimo allows family members to capture and share moments with each other using audio narratives as a way to connect time and activities together. We evaluated Mimo with participants who thought about and reflected on its design. Our results point to the value of connecting family members in a one-to-one, private fashion and how personalization is necessary in systems designed for asynchronous media sharing.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.564
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
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.057
GPT teacher head0.346
Teacher spread0.289 · 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

Citations12
Published2017
Admission routes1
Has abstractyes

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