D. Acevedo, C. D. Jackson, F. Drury, and D. H. Laidlaw, Using Visual Design Experts in Critique-Based Evaluation of 2D Vector Visualization Methods, IEEE Transactions on Visualization and Computer Graphics, vol.14, issue.4, pp.877-88429, 2008.
DOI : 10.1109/TVCG.2008.29

N. Ahmed, Z. Zheng, and K. Mueller, Human Computation in Visualization: Using Purpose Driven Games for Robust Evaluation of Visualization Algorithms, IEEE Transactions on Visualization and Computer Graphics, vol.18, issue.12, pp.2104-2113234, 2012.
DOI : 10.1109/TVCG.2012.234

K. Andrews, Evaluating information visualisations, Proceedings of the 2006 AVI workshop on BEyond time and errors novel evaluation methods for information visualization, BELIV '06, pp.1-1, 2006.
DOI : 10.1145/1168149.1168151

I. Babuska and J. T. Oden, Verification and validation in computational engineering and science: basic concepts, Computer Methods in Applied Mechanics and Engineering, vol.193, issue.36-38, pp.36-384057, 2004.
DOI : 10.1016/j.cma.2004.03.002

R. Barker and Y. Li, Power Analysis for Experimental Research, 2002.

K. Bødker, F. Kensing, and J. Simonsen, Participatory IT Design: Designing for Business and Workplace Realities, 2004.

B. Brown, S. Reeves, and S. Sherwood, Into the wild, Proceedings of the 2011 annual conference on Human factors in computing systems, CHI '11, pp.1657-1666, 2011.
DOI : 10.1145/1978942.1979185

S. Bruckner, V. Soltészová, M. E. Gröller, J. Hlad?vka, K. Buhler et al., BrainGazer - Visual Queries for Neurobiology Research, Proc. Vis), pp.1497-1504121, 2009.
DOI : 10.1109/TVCG.2009.121

S. Carpendale, Evaluating information visualizations In Information Visualization: Human-Centered Issues and Perspectives, LNCS, vol.4950, pp.19-45, 2008.

C. Chen and M. P. Czerwinski, Empirical evaluation of information visualizations: an introduction, International Journal of Human-Computer Studies, vol.53, issue.5, pp.631-6350421, 2000.
DOI : 10.1006/ijhc.2000.0421

C. Chen and Y. Yu, Empirical studies of information visualization: a meta-analysis, International Journal of Human-Computer Studies, vol.53, issue.5, pp.851-8660422, 2000.
DOI : 10.1006/ijhc.2000.0422

J. Cohen, The earth is round (p < .05) American Psychologist, pp.997-1003, 1994.

G. Cumming, Understanding The New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis

N. Dell, V. Vaidyanathan, I. Medhi, E. Cutrell, and W. Thies, "Yours is better!", Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems, CHI '12, pp.1321-1330
DOI : 10.1145/2207676.2208589

D. L. Donoho, An invitation to reproducible computational research, Biostatistics, vol.11, issue.3, pp.385-388, 2010.
DOI : 10.1093/biostatistics/kxq028

T. Etiene, L. G. Nonato, C. Scheidegger, J. Tierny, T. J. Peters et al., Topology Verification for Isosurface Extraction, IEEE Transactions on Visualization and Computer Graphics, vol.18, issue.6, pp.952-965109, 2011.
DOI : 10.1109/TVCG.2011.109
URL : https://hal.archives-ouvertes.fr/hal-01211133

T. Etiene, C. Scheidegger, L. G. Nonato, R. M. Kirby, and C. T. Silva, Verifiable Visualization for Isosurface Extraction, Proc. Vis), pp.1227-1234, 0194.
DOI : 10.1109/TVCG.2009.194
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.6729

A. Field and G. Hole, How to Design and Report Experiments, 2003.

M. Gleicher, Why ask why? Considering motivation in visualization evaluation, Proc. BELIV, pp.1-10

A. Globus and S. Uselton, Evaluation of visualization software, ACM SIGGRAPH Computer Graphics, vol.29, issue.2, 1995.
DOI : 10.1145/204362.204372

B. N. Green, C. D. Johnson, and A. Adams, Writing narrative literature reviews for peer-reviewed journals: secrets of the trade, Journal of Chiropractic Medicine, vol.5, issue.3, pp.101-117, 2006.
DOI : 10.1016/S0899-3467(07)60142-6

S. Greenberg and B. Buxton, Usability evaluation considered harmful (some of the time), Proceeding of the twenty-sixth annual CHI conference on Human factors in computing systems , CHI '08, pp.111-1201357074, 2008.
DOI : 10.1145/1357054.1357074

M. J. Intons-peterson, Imagery paradigms: How vulnerable are they to experimenters' expectations? Journal of Experimental Psychology: Human Perception and Performance, pp.394-412, 1983.

P. Isenberg, N. Elmqvist, J. Scholtz, D. Cernea, K. Ma et al., Collaborative visualization: Definition, challenges, and research agenda, Information Visualization, vol.10, issue.4, pp.310-3261473871611412817, 2011.
DOI : 10.1177/1473871611412817
URL : https://hal.archives-ouvertes.fr/inria-00638540

B. Jackson, D. Coffey, L. Thorson, D. Schroeder, A. M. Ellingson et al., Toward mixed method evaluations of scientific visualizations and design process as an evaluation tool, Proceedings of the 2012 BELIV Workshop on Beyond Time and Errors, Novel Evaluation Methods for Visualization, BELIV '12, pp.1-4
DOI : 10.1145/2442576.2442580

C. D. Jackson, D. Acevedo, D. H. Laidlaw, F. Drury, E. Vote et al., Designer-critiqued comparison of 2D vector visualization methods, Proceedings of the SIGGRAPH 2003 conference on Sketches & applications in conjunction with the 30th annual conference on Computer graphics and interactive techniques, GRAPH '03, p.965505, 2003.
DOI : 10.1145/965400.965505

C. Johnson, Top scientific visualization research problems, IEEE Computer Graphics and Applications, vol.24, issue.4, pp.13-1720, 2004.
DOI : 10.1109/MCG.2004.20

D. F. Keefe, D. Acevedo, J. Miles, F. Drury, S. M. Swartz et al., Scientific Sketching for Collaborative VR Visualization Design, IEEE Transactions on Visualization and Computer Graphics, vol.14, issue.4, pp.835-84731, 2008.
DOI : 10.1109/TVCG.2008.31

D. F. Keefe, D. B. Karelitz, E. L. Vote, and D. H. Laidlaw, Artistic Collaboration in Designing VR Visualizations, IEEE Computer Graphics and Applications, vol.25, issue.2, pp.18-2334, 2005.
DOI : 10.1109/MCG.2005.34

R. M. Kirby and C. T. Silva, The Need for Verifiable Visualization, IEEE Computer Graphics and Applications, vol.28, issue.5, pp.78-83, 2008.
DOI : 10.1109/MCG.2008.103

R. B. Kline, What's wrong with statistical tests?and where we go from here In Beyond Significance Testing: Reforming Data Analysis Methods in Behavioral Research, pp.61-9110693, 2004.

P. Kok, M. Baiker, E. A. Hendriks, F. H. Post, J. Dijkstra et al., Articulated Planar Reformation for Change Visualization in Small Animal Imaging, Proc. Vis), pp.1396-1404134, 2010.
DOI : 10.1109/TVCG.2010.134

R. Kosara, Visualization Criticism - The Missing Link Between Information Visualization and Art, 2007 11th International Conference Information Visualization (IV '07), pp.631-636130, 2007.
DOI : 10.1109/IV.2007.130

R. Kosara, F. Drury, L. E. Holmquist, and D. H. Laidlaw, Visualization Criticism, IEEE Computer Graphics and Applications, vol.28, issue.3, pp.13-1563, 2008.
DOI : 10.1109/MCG.2008.63

R. Kosara, C. G. Healey, V. Interrante, D. H. Laidlaw, and C. Ware, User studies: why, how, and when?, IEEE Computer Graphics and Applications, vol.23, issue.4, pp.20-251210860, 2003.
DOI : 10.1109/MCG.2003.1210860

K. Krippendorff, Content Analysis: An Introduction to Its Methodology, 2013.

H. Lam, E. Bertini, P. Isenberg, C. Plaisant, and S. Carpendale, Empirical Studies in Information Visualization: Seven Scenarios, IEEE Transactions on Visualization and Computer Graphics, vol.18, issue.9, pp.1520-1536279, 2011.
DOI : 10.1109/TVCG.2011.279
URL : https://hal.archives-ouvertes.fr/hal-00932606

P. Lindstrom and M. Isenburg, Fast and Efficient Compression of Floating-Point Data, IEEE Transactions on Visualization and Computer Graphics, vol.12, issue.5, pp.1245-1250143, 2006.
DOI : 10.1109/TVCG.2006.143

M. A. Livingston, J. W. Decker, and Z. Ai, Evaluation of Multivariate Visualization on a Multivariate Task, Proc. SciVis), pp.2114-2121223, 2012.
DOI : 10.1109/TVCG.2012.223

B. Lorensen, On the death of visualization, Position Papers of the NIH/ NSF Fall 2004 Workshop on Visualization Research Challenges, 2004.

C. Lundström, T. Rydell, C. Forsell, A. Persson, and A. Ynnerman, Multi-Touch Table System for Medical Visualization: Application to Orthopedic Surgery Planning, Proc. VIS), pp.1775-1784224, 2011.
DOI : 10.1109/TVCG.2011.224

J. E. Mcgrath, METHODOLOGY MATTERS: DOING RESEARCH IN THE BEHAVIORAL and SOCIAL SCIENCES, Readings in Human-Computer Interaction: Towards the Year, pp.152-169, 1995.
DOI : 10.1016/B978-0-08-051574-8.50019-4

S. B. Merriam, Qualitative Research, 2009.
DOI : 10.4018/978-1-4666-7409-7.ch007

M. Meyer, T. Munzner, and H. Pfister, MizBee: A Multiscale Synteny Browser, Proc. InfoVis), pp.897-904167, 2009.
DOI : 10.1109/TVCG.2009.167

E. Morse, M. Lewis, and K. Olsen, Evaluating visualizations: using a taxonomic guide, International Journal of Human-Computer Studies, vol.53, issue.5, pp.637-6620412, 2000.
DOI : 10.1006/ijhc.2000.0412

T. Munzner, A Nested Model for Visualization Design and Validation, IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis), pp.921-928111, 2009.
DOI : 10.1109/TVCG.2009.111

B. Nelson, R. M. Kirby, and R. Haimes, GPU-Based Interactive Cut-Surface Extraction From High-Order Finite Element Fields, Proc. Vis), pp.1803-1811206, 2011.
DOI : 10.1109/TVCG.2011.206
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1000.434

J. Nielsen and R. Molich, Heuristic evaluation of user interfaces, Proceedings of the SIGCHI conference on Human factors in computing systems Empowering people, CHI '90, pp.249-25697281, 1990.
DOI : 10.1145/97243.97281

C. North, Toward measuring visualization insight, IEEE Computer Graphics and Applications, vol.26, issue.3, pp.6-970, 2006.
DOI : 10.1109/MCG.2006.70

M. T. Orne, Demand characteristics and the concept of quasi-controls, Artifacts in Behavioral Research: Robert Rosenthal and Ralph L. Rosnow's Classic Books, pp.110-137, 2009.

A. Perer and B. Shneiderman, Integrating Statistics and Visualization for Exploratory Power: From Long-Term Case Studies to Design Guidelines, IEEE Computer Graphics and Applications, vol.29, issue.3, pp.39-5144, 2009.
DOI : 10.1109/MCG.2009.44

C. Plaisant, The challenge of information visualization evaluation, Proceedings of the working conference on Advanced visual interfaces , AVI '04, pp.109-116989880, 2004.
DOI : 10.1145/989863.989880

K. Popper, The Logic of Scientific Discovery Routledge Classics, 2010.

M. Schmettow, Sample size in usability studies, Communications of the ACM, vol.55, issue.4, pp.64-70, 1145.
DOI : 10.1145/2133806.2133824

T. Schultz and G. L. Kindlmann, Superquadric Glyphs for Symmetric Second-Order Tensors, Proc. Vis), pp.1595-1604, 0199.
DOI : 10.1109/TVCG.2010.199

T. Schultz and H. Seidel, Estimating Crossing Fibers: A Tensor Decomposition Approach, Proc. Vis), pp.1635-1642128, 2008.
DOI : 10.1109/TVCG.2008.128

M. Sedlmair, P. Isenberg, D. Baur, and A. Butz, Information visualization evaluation in large companies: Challenges, experiences and recommendations, Information Visualization, vol.53, issue.5, pp.248-266, 2011.
DOI : 10.1177/1473871611413099
URL : https://hal.archives-ouvertes.fr/inria-00638541

M. Sedlmair, M. Meyer, and T. Munzner, Design Study Methodology: Reflections from the Trenches and the Stacks, Proc. InfoVis), pp.2431-2440213, 2012.
DOI : 10.1109/TVCG.2012.213

J. Seo and B. Shneiderman, Knowledge discovery in high-dimensional data: Case studies and a user survey for the rank-by-feature framework, IEEE Transactions on Visualization and Computer Graphics, vol.12, issue.3, pp.311-32250, 2006.

H. Sharp, Y. Rogers, and J. Preece, Interaction Design: Beyond Human- Computer Interaction, 2007.

B. Shneiderman and C. Plaisant, Strategies for evaluating information visualization tools, Proceedings of the 2006 AVI workshop on BEyond time and errors novel evaluation methods for information visualization, BELIV '06, pp.1-8, 2006.
DOI : 10.1145/1168149.1168158

J. P. Simmons, L. D. Nelson, and U. Simonsohn, False-Positive Psychology, Psychological Science, vol.47, issue.11, pp.1359-13660956797611417632, 2011.
DOI : 10.1093/biomet/64.2.191

M. Tory and T. Möller, Human factors in visualization research, IEEE Transactions on Visualization and Computer Graphics, vol.10, issue.1, pp.72-841260759, 2004.
DOI : 10.1109/TVCG.2004.1260759

M. Tory and T. Möller, Evaluating Visualizations: Do Expert Reviews Work?, IEEE Computer Graphics and Applications, vol.25, issue.5, pp.8-11102, 2005.
DOI : 10.1109/MCG.2005.102

S. P. Uselton, G. Dorn, C. Farhat, M. W. Vannier, K. Esbensen et al., Validation, verification and evaluation, Proceedings Visualization '94, pp.414-418346285, 1994.
DOI : 10.1109/VISUAL.1994.346285

J. Van-wijk, T. Isenberg, J. B. Roerdink, A. C. Telea, and M. Westenberg, Evaluation, Mastering the Information Age: Solving Problems with Visual Analytics, pp.131-144, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00696823

J. J. Van-wijk, The Value of Visualization, VIS 05. IEEE Visualization, 2005., pp.79-861532781, 2005.
DOI : 10.1109/VISUAL.2005.1532781
URL : https://hal.archives-ouvertes.fr/hal-00701741

J. J. Van-wijk, Views on Visualization, IEEE Transactions on Visualization and Computer Graphics, vol.12, issue.4, pp.421-43280, 2006.
DOI : 10.1109/TVCG.2006.80

G. R. Vandenbos, Publication Manual of the American Psychological Association, 2009.

J. Waser, R. Fuchs, H. Ribi?i´ribi?i´c, B. Schindler, G. Blöschl et al., World Lines, Proc. Vis), pp.1458-1467223, 2010.
DOI : 10.1109/TVCG.2010.223

A. Wiebel, F. Vos, D. Foerster, and H. Hege, WYSIWYP: What You See Is What You Pick, IEEE Transactions on Visualization and Computer Graphics, vol.18, issue.12, pp.2236-2244292, 2012.
DOI : 10.1109/TVCG.2012.292
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.6782

J. Wood, D. Badawood, J. Dykes, and A. Slingsby, BallotMaps: Detecting Name Bias in Alphabetically Ordered Ballot Papers, Proc. InfoVis), pp.2384-2391174, 2011.
DOI : 10.1109/TVCG.2011.174