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Record W2781719090 · doi:10.18063/scr.v1i2.337

Effects of dynamic information display on the perception of public washroom cleanliness

2017· article· en· W2781719090 on OpenAlexaff
Yang S. Liu

Bibliographic record

VenueSmart Construction Research · 2017
Typearticle
Languageen
FieldEngineering
TopicEvacuation and Crowd Dynamics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTouchscreenPerceptionAffect (linguistics)Service (business)PsychologyMultimediaControl (management)Applied psychologyHuman–computer interactionComputer scienceAdvertisingInternet privacyCommunicationBusinessMarketing

Abstract

fetched live from OpenAlex

Washroom cleanliness is a key influence on our positive attitude towards public spaces. Recently, interactive technology has been introduced. While the role of physical cleanliness is obvious, interactive technology may affect the perception of cleanliness. This study investigates whether the most recent washroom service time displayed on a touchscreen influences the perception of washroom cleanliness. Participants leaving a washroom were asked to rate the cleanliness of the washroom. The touchscreen that showed the service time was visible for the experimental group and covered for the control group. Results showed that participants who noticed the most recent washroom service time in the experimental group perceived the washroom as cleaner than the control group. In addition, the touchscreen was preferred as an interface for washroom service request, compared with telephone calls and text messaging. The results suggest interactive technology has potential to enhance attitudes towards public space.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score0.231

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
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 head0.027
GPT teacher head0.316
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

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 designOther design
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
Published2017
Admission routes1
Has abstractyes

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