- Objective 1: Experimental test and development of a 3DUI for networked home control
- Setup and configure device network
- Setup and configure UI client
- Design and prepare the experiment to analyze usefulness and ease of use with respect to a given set of tasks and usage context
- Document and report
- Objective 2: Evaluation of methods for pointing at physical targets using mobile 3D user interfaces
- Do 3DUIs improve the physical target selection performance in context of smart homes? If yes, to which extent? And how about pointing task performance? How to measure pointing performance?
- How does the input method (stylus / touch used on a mobile device) perform compared to alternative input methods (pointing device, laser pointer, human gesture, tangible UI)?
- What other i/o modalities and devices can be considered?
- Which research design can be used to study the above questions?
- Describe your research steps, including
- Intended audience
- Describe tasks and usage context
- Describe metrics
- Describe overall research design: qualitative vs. quantitative methods; subjective vs. objective; within vs. between groups
- Describe instruments (competitive focus groups, competitive usability test, discount usability test)
- Describe measurement methods
- Describe recruiting method and sample size (5-7 users)
- Describe data collection and cleaning
- Describe analysis methods
- check this website for more information
- Research design
- Experimental setup to analyze the feasibility and performance of a 3D based UI for physical object selection in context of smart homes
- Data acquisition and analysis of results
- Recommendations for design / user interface improvement
- System Documentation
- Start a literature analysis; Keywords: 3D user interfaces; mobile home control; ambient intelligence user interfaces; mobile user interface for networked homes; ubiquitous user interfaces; multimedia home control; tangible user interface for home control; interacting with physical objects; measuring selection performance in 3DUI; Fitts’ law for 3DUI and physical object selection;
- Domaszewicz, J., Lalis, S., Pruszkowski, A., Koutsoubelias, M., Tajmajer, T., Grigoropoulos, N., & Gluhak, A. (2016). Soft actuation: Smart home and office with human-in-the-loop. IEEE Pervasive Computing, 15(1), 48-56.
- Using Fitts Law to model 3D target acqusition performanceF. Argelaguet and C. Andujar. Efficient 3D Pointing Selection in Cluttered Virtual Environments. IEEE Computer Graphics and Applications, 29(6):34–43, 2009.R. Kopper, D. A. Bowman, M. G. Silva, and R. P. McMahan. A human motor behavior model for distal pointing tasks. International Journal of Human-Computer Studies, 68(10):603–615, Oct. 2010.R. J. Teather and W. Stuerzlinger. Pointing at 3D Targets in a Stereo Head-Tracked Virtual Environment. In IEEE Symposium on 3D User Interfaces (3DUI’11), pages 87–94, 2011.
- Selection In Dense and Dynamic EnvironmentsCashion, J. and LaViola, J., “Dynamic Adaptation of 3D Selection Techniques for Suitability Across Diverse Scenarios”, Proceedings of the IEEE Symposium on 3D User Interfaces 2014, 165-166, March 2014.Cashion, J., Wingrave, C., and LaViola, J. “Optimal 3D Selection Technique Assignment Using Real-Time Contextual Analysis”, Proceedings of the IEEE Symposium on 3D User Interfaces 2013, 107-110, March 2013.Cashion, J., Wingrave, C., and LaViola, J. “Automatic 3D Selection Technique Assignment Using Real-time Scenario Analysis”, Proceedings of IEEE Virtual Reality 2013, 103-104, March 2013.
Cashion, J., Wingrave, C., and LaViola, J. “Dense and Dynamic 3D Selection for Game-based Virtual Environments”, IEEE Transactions of Visualization and Computer Graphics (Proceedings of Virtual Reality 2012), 18(4):634-642, April 2012.