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Record W2040066601 · doi:10.1115/detc2014-35285

The Affordance of Absence

2014· article· en· W2040066601 on OpenAlexaff
Jayesh Srivastava, L. H. Shu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAffordancePerceptionDimension (graph theory)Context (archaeology)Computer scienceHuman–computer interactionProduct (mathematics)Resource (disambiguation)PsychologyMathematicsGeography

Abstract

fetched live from OpenAlex

We originally studied affordances to design products that encourage resource-efficient behavior in users. This paper was motivated by the observation that a lack of resources affected the ability of impoverished slum residents to perceive affordances. Data gathered from a trip to Bangladesh support recent postulations that affordance perception depends on user intention and socio-cultural norms, which are also influenced by fixation and training. We thus became interested in how absence, whether of material, components, or entire products, affected the utility of objects. We describe three dimensions of absence, one major and two minor. The major dimension is used to express the range of physical absence, i.e., of material in a part, of a part in a product, and of the entire product. Minor dimensions include the extent of user control and the permanence of absence, each of which can be used to increase utility in objects. We provide existing examples along these dimensions and describe concepts along the major, physical dimension of absence. We propose that the affordance of absence can be used as an approach to identify novel affordances, and conclude by placing it in the context of existing affordance-based design methods.

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.

How this classification was reachedexpand

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.947
Threshold uncertainty score0.120

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 communication0.0000.000
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 head0.008
GPT teacher head0.242
Teacher spread0.234 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2014
Admission routes1
Has abstractyes

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