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Record W2588515875 · doi:10.1145/2998181.2998247

Flex-N-Feel

2017· article· en· W2588515875 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
KeywordsFLEXAppropriationHuman–computer interactionComputer scienceConversationMultimediaPsychologyCommunicationTelecommunications

Abstract

fetched live from OpenAlex

Many couples live apart due to work, educational situations, or frequent travel. While technology can help mediate these relationships, there is a lack of designs that allow couples to share a sense of touch over distance. We present a design case study of a tangible communication system called Flex- N-Feel--a pair of gloves that allows distance-separated couples to feel the flexing of their remote partners' fingers through vibrotactile sensations on their skin. We evaluated our design with nine couples where the system was augmented with either a Skype audio call or a video connection. Our study showed that participants enjoyed their conversation more with the gloves, felt more emotionally connected, and experienced intimate moments together. Couples used the glove for shared actions, playful episodes, intimate touches, and to simply feel each other's presence. Video was important to aid couples in understanding each other's actions. Our results illustrate that designs focusing on physical touch over distance should be open to appropriation such that they can augment existing communication routines and technologies.

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: none
Teacher disagreement score0.922
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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.032
GPT teacher head0.323
Teacher spread0.290 · 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

Citations79
Published2017
Admission routes1
Has abstractyes

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