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References for the perfect tool project

[1] J. Almgren et al., Tangible User Interface for Chemistry Education: Visualization, Portability, and Database, in SIGRAD 2005 The Annual SIGRAD Conference Special Theme - Mobile Graphics, (Lund, Sweden), pp. 19-24, Nov. 2005. [ bib | http ]
[2] J. Brickmann et al., Molecular Graphics - Trends and Perspectives, J. Mol. Model., vol. 6, pp. 328-340, Feb. 2000. [ bib ]
[3] J. Dyck, D. Pinelle, B. Brown, and C. Gutwin, Learning from Games: HCI Design Innovations in Entertainment Software, in Proc. Graphics Interface 2003, Feb. 2003. [ bib | pdf ]
[4] E. Francoeur, The Forgotten Tool: The Design and Use of Molecular Models, Social Studies of Science, vol. 27, pp. 7-40, Feb. 1997. [ bib | http ]
[5] B. P. Gaber and D. S. Goodsell, The art of molecular graphics Irving Geis: Dean of molecular illustration, Journal of Molecular Graphics and Modeling, vol. 15, pp. 57-59, Feb. 1997. [ bib | http ]
[6] D. S. Goodsell, Visual Methods from Atoms to Cells, Structure, vol. 13, pp. 347-354, Mar. 2005. [ bib ]
[7] R. Hoffmann and P. Laszlo, Representation in Chemistry, Angewandte Chemie (int.l edition), vol. 30, pp. 1-16, Jan. 1991. [ bib | .pdf ]
[8] R. van Liere, A. Kok, J.-B. Martens, and M. van Tienen, Interacting with Molecular Structures: User Performance versus System Complexity, in Eurographics Symposium on Virtual Environments, (Aalborg University, Denmark), pp. 147-156, Oct. 2005. [ bib ]

Effective interaction in a virtual environment requires that the user can adequately judge the spatial relationships between the objects in a 3D scene. In order to accomplish adequate depth perception, existing virtual environments create useful perceptual cues through stereoscopy, motion parallax and (active or passive) haptic feedback. Specific hardware, such as high-end monitors with stereoscopic glasses, head-mounted tracking and mirrors are required to accomplish this. Many potential VR users however refuse to wear cumbersome devices and to adjust to an imposed work environment, especially for longer periods of time. It is therefore important to quantify the repercussions of dropping one or more of the above technologies. These repercussions are likely to depend on the application area, so that comparisons should be performed on tasks that are important and/or occur frequently in the application field of interest. In this paper, we report on a formal experiment in which the effects of different hardware components on the speed and accuracy of three-dimensional (3D) interaction tasks are established. The tasks that have been selected for the experiment are inspired by interactions and complexities, as they typically occur when exploring molecular structures. From the experimental data, we develop linear regression models to predict the speed and accuracy of the interaction tasks. Our findings show that hardware supported depth cues have a significant positive effect on task speed and accuracy, while software supported depth cues, such as shadows and perspective cues, have a negative effect on trial time. The task trial times are smaller in a simple fish-tank like desktop environment than in a more complex co-location enabled environment, sometimes at the cost of reduced accuracy.

[9] P. Murray-Rust, H. S. Rzepa, S. M. Tyrrella, and Y. Zhang, Representation and use of Chemistry in the Global Electronic Age, Org. Biomol. Chem., vol. 2, pp. 3192-3203, 2004. [ bib | http ]
[10] T. C. Palmer, A Language for Molecular Visualization, IEEE Computer Graphics and Applications, vol. 12, pp. 23-32, May/June 1992. [ bib ]
[11] A. J. Rocke, Hypothesis and Experiment in the Early Development of Kekulé's Benzene Theory, Annals of Science, vol. 42, pp. 355-381, 1985. [ bib ]
[12] E. Steinhart, The Logic of Metaphor: Analogous Parts of Possible Worlds, vol. 299. Dordrecht: Kluwer Academic, 2001. [ bib ]

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