Somnath Arjun
ABSTRACT
Information visualization is one of the major approach to analyse data. Though there are lot of visualization techniques, designing an adaptive visualization technique for different user and task characteristics is challenging. In this dissertation we are comparing different visualization techniques to find an optimal way for authoring, displaying datasets for two case studies - a crowd sourcing platform for people with different range of abilities and a sensor dashboard for a smart manufacturing set up. We also aspire to develop a user adaptive visualization system. A pilot study found that for numeric dataset, a Bar graph has maximum correct response and Area graph has lowest response time.
- Biswas P. and Springett M., Inclusive User Modelling, Wiley Handbook of Human-Computer Interaction 2018Google Scholar
- Steichen, B., Wu, M.M., Toker, D., Conati, C. and Carenini, G., 2014, July. Te, Te, Hi, Hi: Eye gaze sequence analysis for informing user-adaptive information visualizations. In International Conference on User Modeling, Adaptation, and Personalization (pp. 183--194). Springer, Cham.Google Scholar
- Gajos K. Z., Wobbrock J. O. and Weld D. S. "Automatically generating user interfaces adapted to users' motor and vision capabilities." ACM symposium on User interface software and technology 2007. Google ScholarDigital Library
- Gao H. and Barbier G., Harnessing the Crowdsourcing Power of Social Media for Disaster Relief, IEEE Intelligent Systems, 2011 Google ScholarDigital Library
- GoldUI, www.goldui.eu, Accessed on 17/4/2016Google Scholar
- Maheswary K., Arjun S. and Biswas P., Inclusive Crowd Sourcing based Disaster Reporting System, IEEE International Conference on Control, Instrumentation, Communication &Computational Technologies (ICCICCT-2016)Google Scholar
- Rapid Upper Limb Assessment (RULA) - Ergonomics Plus, Available at http://ergo-plus.com/wp-content/ uploads/RULA-A-Step-by-Step-Guide1.pdf, Accessed on 18/5/2017Google Scholar
- Sackett P. J, Al-Gaylani M. F., Tiwari A. and Williams D., A review of data visualization: Opportunities in manufacturing sequence management, International Journal of Computer Integrated Manufacturing 2006Google Scholar
- Tobii EyeX Tracker, Available at https://tobiigaming.com/ product/tobii-eyex/, Accessed on 23/3/2018Google Scholar
- Vrba P. et al. (2011), New Trends of Visualization in Smart Production Control Systems. V. Maffík, P. Vrba, and P. Leitão (Eds.): HoloMAS 2011, Springer LNAI 6867 Google ScholarDigital Library
- Wu K. and Yang M., A Cluster validity index for fuzzy clustering, Elsevier B.V 2004Google Scholar
Index Terms
- Personalizing data visualization and interaction
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