Published February 12, 2026 | Version 1.1
Dataset Open

Layer-based Interaction on Elastic Displays: Study Data

  • 1. ROR icon Hochschule für Technik und Wirtschaft Dresden – University of Applied Sciences
  • 2. GTV - Gesellschaft für Technische Visualistik mbH

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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md5:717c71c7a50d60dbdf14ac2ff7a8f960
11.5 MB Preview Download
md5:7a1395ede85036c7d7fbb1de3478c973
461.4 MB Preview Download
md5:77dedc64881b39f53fdef6c4e0f2b998
1.4 MB Preview Download
md5:c7041cca8eafb6549f4d0b3ea28e3fcd
59.3 MB Preview Download
md5:45f87df17369ecc03f56f5aaf2156fb0
152.5 MB Preview Download
md5:9d82717a1c8f966f3111ee3625bddb15
147.3 MB Preview Download
md5:3256a64cdd82669efeb0f5774f7e403b
113.8 MB Download

Additional details

Related works

Is supplement to
Conference paper: 10.1145/3531073.3531101 (DOI)

Funding

Freistaat Sachsen
ZELASTO 100376687

Dates

Submitted
2022-06-06
Study Data v1.0
Updated
2026-02-12
Study Data v1.1

Software

Repository URL
https://github.com/visualengineers/reflex-avi2022-results
Programming language
Jupyter Notebook
Development Status
Active