Work

Optimizing Performance and Satisfaction in Matching and Movement Tasks in Virtual Reality with Interventions Using the Data Visualization Literacy Framework

Year: 2021

Type: dataset

Abstract: Thank you for visiting this repository, which contains a ZIP file with the data for our user study and paper titled "Optimizing Performance and Satisfaction in Matching and Movement Tasks in Virtual Reality with Interventions Using the Data Visualization Literacy Framework."

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.5658724

Authors: Bueckle, Andreas, Buehling, Kilian, Shih, Patrick C., Börner, Katy

Institutions: Indiana University, Technische Universität Dresden

Language: English

Topic: Virtual Reality Applications and Impacts

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4393536568

Cites:

Cited by: 1

Related to: 10