Layer-based Interaction on Elastic Displays: Study Data
Authors/Creators
Description
Raw and processed study data, analysis procedure and results for study on Layer-based Interaction on Elastic Displays, published at AVI 2022.
Abstract
Elastic displays afford a natural stacking of information layers in their haptic interaction space. So far, research has focused on technical issues and interaction concepts by pushing and pulling the surface of such displays. We report a study with 24 participants that investigates the feasibility and limitations of interaction with 6 to 21 layers. We measured completion times and error rates for reaching and holding specific target layers and observed performed gestures. Our findings show that solution time increases with more layers while precision is maintained with a mean success rate of holding a layer of 70 %, even when using up to 21 layers. User experience measurements show that hedonic qualities of the interaction were rated higher than pragmatic qualities. Our investigation proves the general feasibility of using layer-based interaction with an elastic display and provides guidelines on the limitations.
Files
- reflex-avi2022-results-1.1.zip
Study data: zipped release of github repositoy v1.1 (https://github.com/visualengineers/reflex-avi2022-results)
- layerinteractionstudy.zip
React client application for the user study
- TrackingServer_Setup_0.6.0.exe
Setup for Windows Server Application used in the user study
- linux-unpacked_0.6.0.zip
Linux binary of server (Bonus, not needed for reprodcution of results / no compatible sensors)
- TrackingServer.mac.app_0.6.0.zip
Mac App (Intel Mac) of server (Bonus, not needed for reprodcution of results / no compatible sensors)
Files
reflex-avi2022-results-1.1.zip
Files
(947.2 MB)
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Additional details
Related works
- Is supplement to
- Conference paper: 10.1145/3531073.3531101 (DOI)
Funding
- Freistaat Sachsen
- ZELASTO 100376687
Dates
- Submitted
-
2022-06-06Study Data v1.0
- Updated
-
2026-02-12Study Data v1.1
Software
- Repository URL
- https://github.com/visualengineers/reflex-avi2022-results
- Programming language
- Jupyter Notebook
- Development Status
- Active