Design explorations for more efficient data filtering interaction principles in VR for map based information visualizations
Year: 2018
Type: dissertation
Abstract: When using web interfaces to filter data on map-based visualizations, filtering interfaces tend to acquire space that otherwise could be used by the visualization. This study examines how to make use of virtual reality's strengths to design more efficient data filtering interaction principles for map-based visualizations. To do this, a virtual reality application was developed and tested on 19 subjects performing 9 predetermined tasks. Qualitative data was gathered through semi-structured interviews and observations along with quantitative data derived from logging user interactions. These results were compared to a control study with subjects using an already existing web based filtering interface. Results indicate that using some of virtual reality's strengths such as 3D space, two-hand interaction and body movement when designing filtering interfaces can increase efficiency of data filtering interactions on map-based visualizations. The main advantages of interfaces like these seems to be that the strengths of virtual reality provides room for efficient solutions to observe and filter data simultaneously.
Author: Gustav Fridh
Language: English
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3113931723