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Record W4403576011 · doi:10.1145/3643834.3661508

Designing Smart Home Technology For Passive Co-Presence Over Distance

2024· article· en· W4403576011 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

VenueDesigning Interactive Systems Conference · 2024
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsMcMaster UniversitySimon Fraser University
Fundersnot available
KeywordsSynchronicityFrame (networking)Human–computer interactionComputer scienceSightLiving roomSpace (punctuation)Home automationTable (database)MultimediaArchitectural engineeringTelecommunicationsEngineeringPsychology

Abstract

fetched live from OpenAlex

When families live in the same home, they feel a sense of connection through the subtle, passive aspects of family life. Over distance, these passive aspects are hard to experience as most communication technologies support sharing conversations or activities. Through a research-through-design methodology, we explored the design of smart home technologies for passive co-presence over distance. Based on our design explorations, we arrived at an interaction space which includes the dimensions of Activity, Solitude, Synchronicity, and Spontaneity. Our research-through-design process additionally resulted in the design of two smart home systems. The There Chair employs the senses of touch and sight to passively display when a remote family member is sitting at the dining room table. The Fragrance Frame is a paired picture frame that detects when a remote family member is passing by their frame, and emits a scent reminiscent of togetherness. We reflect on our design decisions and propose considerations for future design.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.966
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.003
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 head0.035
GPT teacher head0.317
Teacher spread0.282 · 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