The Community for Technology Leaders
RSS Icon
Issue No.02 - July-December (2008 vol.1)
pp: 130-141
Nesra Yannier , Koc University, Istanbul
Cagatay Basdogan , Koc University, Istanbul
Serdar Tasiran , Koc University, Istanbul
Omer Lutfi Sen , Istanbul Technical University, Istanbul
We investigate the potential role of haptics in climate visualization. In existing approaches to climate visualization, different dimensions of climate data such as temperature, humidity, wind, precipitation, and cloud water are typically represented using different visual markers and dimensions such as color, size, intensity, and orientation. Since the number of dimensions in climate data is large and climate data needs to be represented in connection with the topography, purely visual representations overwhelm users. Rather than overloading the visual channel, we investigate an alternative approach in which some of the climate information is displayed through the haptic channel in order to alleviate the perceptual and cognitive load of the user. In this approach, haptic feedback is further used to provide guidance while exploring climate data in order to enable natural and intuitive learning of cause and effect relationships between climate variables. Our experiments with 33 human subjects show that haptic feedback significantly improves the understanding of climate data and the cause and effect relations between climate variables as well as the interpretation of the variations in climate due to changes in terrain.
data and information visualization, education, human-computer interaction, human factors
Nesra Yannier, Cagatay Basdogan, Serdar Tasiran, Omer Lutfi Sen, "Using Haptics to Convey Cause-and-Effect Relations in Climate Visualization", IEEE Transactions on Haptics, vol.1, no. 2, pp. 130-141, July-December 2008, doi:10.1109/TOH.2008.16
[1] P. Tsai and B.E. Doty, “A Prototype Java Interface for the Grid Analysis and Display System (GrADS),” Proc. 14th Int'l Conf. Interactive Information and Processing Systems for Meteorology, Oceanography, and Hydrology, pp. 11-16,, 1998.
[2] NCAR (National Center for Atmospheric Research), http://www. ncar.ucar.edutools/, 2008.
[3] R.B. Telfeyan, D.M. Rozema, and I. Gotchel, “Interactive Forecast Visualization Tools for the US Armed Forces,” Proc. 22nd Int'l Conf. Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, , 2006.
[4] CLIMVIS (The Climate Visualization System), http://gcmd.nasa. gov/recordsCLIMVIS.html , 2008.
[5] C.G. Healey, “Formulizing Artistic Techniques and Scientific Visualization for Painted Renditions of Complex Information Spaces,” Proc. 17th Int'l Joint Conf. Artificial Intelligence (IJCAI '01), pp. 371-376, 2001.
[6] C. Harding, I.A. Kakadiaris, J.F. Casey, and R.B. Loftin, “Visualization of Very Large Datasets: A Multi-Sensory System for the Investigation of Geoscientific Data,” Computers and Graphics, vol. 26, no. 2, pp. 259-269, 2002.
[7] W. Jeong and M. Gluck, “Multimodal Geographic Information Systems: Adding Haptic and Auditory Display,” J. Am. Soc. for Information, Science and Technology, vol. 54, pp. 229-242, 2003.
[8] J. Rekimoto and M. Green, “The Information Cube: Using Transparency in 3D Information Visualization,” Proc. Third Ann. Workshop Information Technologies and Systems (WITS '93), pp. 125-132, 1993.
[9] Regional Climate Model (RegCM3),, 2008.
[10] C. Ho, C. Basdogan, and M.A. Srinivasan, “Efficient Point-Based Rendering Techniques for Haptic Display of Virtual Objects,” Presence, vol. 8, pp. 477-491, 1999.
[11] K. Joe, S. Hayashida, N. Nide, H. Kamo, K. Yamauchi, and E. Touma, “Gateau: A 3D Visualization System for Intuitive Analysis of Atmospheric Science,” Proc. World Congress in Computer Science, Computer Eng. and Applied Computing (WORLDCOMP '06), pp.860-866, 2006.
[12] D.A. Lawrence, L.Y. Pao, C.D. Lee, and R.Y. Novoselov, “Synergistic Visual/Haptic Rendering Modes for Scientific Visualization,” IEEE Computer Graphics and Applications, vol. 24, no. 6, pp. 22-30, Nov./Dec. 2004.
[13] D.N. Gordin and R.D. Pea, “Prospects for Scientific Visualization as an Educational Tool,” J. Learning Sciences, vol. 4, no. 3, pp. 249-279, 1995.
[14] D.C. Edelson and D. Gordin, “Visualization for Learners: A Framework for Adapting Scientists' Tools,” Computers and Geosciences, vol. 24, no. 7, pp. 507-616, 1998.
[15] R.L. Williams, M. Chen, and J.M. Seaton, “Haptics-Augmented Simple-Machine Educational Tools,” J. Science Education and Technology, vol. 12, Mar. 2003.
[16] G. Sankaranarayanan, S. Weghorst, M. Sanner, A. Gillet, and A. Olson, “Role of Haptics in Teaching Structural Molecular Biology,” Proc. 11th IEEE Symp. Haptic Interfaces for Virtual Environment and Teleoperator Systems (HAPTICS '03), pp. 363-366, 2003.
[17] D. Feygin, M. Keehner, and F. Tendick, “Haptic Guidance: Experimental Evaluation of a Haptic Training Method for a Perceptual Motor Skill,” Proc. 10th IEEE Symp. Haptic Interfaces for Virtual Environment and Teleoperator Systems (HAPTICS '02), pp.40-47, 2002.
[18] M. Omata, M. Ishihara, M.G. Kwok, and A. Imamiya, “Haptizing Wind on a Weather Map with Reactive Force and Vibration,” Proc. 10th IFIP TC13 Int'l Conf. Human-Computer Interaction (INTERACT'05), pp. 18-29, 2005.
[19] C. Lee, B.D. Adelstein, and S. Choi, “Haptic Weather,” Proc. 16th IEEE Symp. Haptic Interfaces for Virtual Environment and Teleoperator Systems (HAPTICS '08), pp. 473-474, 2008.
[20] N. Yannier, “Using Haptics to Convey Cause and Effect Relations in Climate Visualization,” MS thesis, Computational Sciences and Eng., Koc Univ., Sept. 2007.
[21] S.J. Lederman and R.L. Klatzky, “Hand Movements: A Window into Haptic Object Recognition,” Cognitive Psychology, vol. 19, pp.342-368, 1987.
[22] S.J. Lederman and R.L. Klatzky, “Action for Perception: Manual Exploratory Movements for Haptically Processing Objects and Their Features,” Hand and Brain: The Neurophysiology and Psychology of Hand Movements, p. 431, Academic Press, 1996.
[23] K. Kahol and S. Panchanathan, “Neuro-Cognitively Inspired Haptic User Interfaces,” Multimedia Tools and Applications, vol. 37, pp. 15-38, 2008.
[24] C. Basdogan and M.A. Srinivasan, “Haptic Rendering in Virtual Environments,” Handbook of Virtual Environments, K. Stanney, ed., pp. 117-134, Lawrence Earlbaum, 2002.
[25] D. Morris, H. Tan, F. Barbagli, T. Chang, and K. Salisbury, “Haptic Feedback Enhances Force Skill Learning,” Proc. Second World Haptics Conf. (WHC '07), pp. 21-26, 2007.
[26] M.O. Ernst and M.S. Banks, “Humans Integrate Visual and Haptic Information in a Statistically Optimal Fashion,” Nature, pp. 429-433, 2002.
39 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool