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Record W3038320719 · doi:10.1145/3357236.3395467

An Autobiographical Design Study of a Long Distance Relationship

2020· article· en· W3038320719 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
TopicInnovative Human-Technology Interaction
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsNature versus nurtureFeelingHuman–computer interactionRobotComputer scienceTeleroboticsDiversity (politics)Control (management)PsychologySocial psychologyMobile robotArtificial intelligence

Abstract

fetched live from OpenAlex

Long distance couples often face challenges in maintaining their relationship over distance because computer-mediated communication tools typically only support a limited range of relationship maintenance behaviors. To explore a broader design space that might help combat this problem, we conducted an autobiographical design study that explores the usage of a telepresence robot coupled with voice-activated smart home devices. The telepresence robot provided an embodiment for one remote partner who could talk through the robot to control the smart devices in the remote location. We studied how the setup was used by a long distance couple over a three month period to share their home and nurture and maintain their relationship. The study revealed how such a setup can promote feelings of ownership, belonging, and normalcy, as well as a diversity of interactions and social connections. Implications for design include the importance of supporting effortful, personalized, varied, and shared interactions.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.744
Threshold uncertainty score0.265

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.084
GPT teacher head0.319
Teacher spread0.235 · 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

Citations27
Published2020
Admission routes1
Has abstractyes

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