What the body knows: Exploring the benefits of embodied metaphors in hybrid physical digital environments
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.
Bibliographic record
Abstract
A recent trend in ubiquitous computing is the development of new forms of interfaces, which rely on embodied interaction. We focus on the definition of embodiment that refers to the ways in which abstract concepts rely on metaphorical extensions of embodied schemata shaped by processes below the level of conscious awareness as explored by Lakoff and Johnson [Lakoff, G., Johnson, M., 1980. Metaphors We Live By. Chicago Press, Chicago, IL, USA]. Our inquiry focuses on understanding the role embodied metaphors may play in supporting people to understand the possibilities for physical interaction in augmented spaces. We explore this issue through the development and evaluation of an interactive audio environment. We instantiate metaphor theory by using embodied schemata as the basis for the interactional metaphor that relates full-body input actions to audio output responses. We demonstrate and explore the benefits of this approach through a comparative experiment in which adults and children learn to use our audio environment. The results from our experiment indicated that embodied metaphors improve usability however, other factors including discoverability, perceivability of feedback and duplicity of structural isomorphism may mediate these metaphor-based benefits. We have generalized our main findings as a set of suggestions for the design of embodied style interfaces that rely on physical interaction.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it