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Record W118694321

Comparing tangible and multi-touch interfaces for a spatial problem solving task

2010· dissertation· en· W118694321 on OpenAlexfundno aff
Sijie Wang

Bibliographic record

VenueSummit (Simon Fraser University) · 2010
Typedissertation
Languageen
FieldComputer Science
TopicInteractive and Immersive Displays
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsHuman–computer interactionTask (project management)Multi-touchComputer scienceEngineeringSystems engineering
DOInot available

Abstract

fetched live from OpenAlex

This thesis presents the results of an exploratory study of a tangible and a multi-touch interface. The study investigates the effect of interface style on users’ performance, problem solving strategies and preference for a spatial problem solving task. Participants solved a jigsaw puzzle using each interface on a digital tabletop. The effect of interface style was explored through efficiency measures; a comparative analysis of hands-on actions based on a video coding schema for complementary actions; participants’ responses to questionnaires; and observational notes. Main findings are that tangible interaction better enabled complementary actions and was more efficient. Its 3D tactile interaction facilitated more effective search, bi-manual handling and visual comparison of puzzle pieces. For spatial problem solving activities where an effective and efficient strategy is not important, a multi-touch approach is sufficient. The thesis uniquely contributes to understanding the hands-on computational design space through its theoretical framing and empirical findings.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.017
GPT teacher head0.242
Teacher spread0.225 · 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.

Study designBench or experimental
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

Citations4
Published2010
Admission routes1
Has abstractyes

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