R. Amar, J. Eagan, and J. Stasko, Low-level components of analytic activity in information visualization, IEEE Symposium on Information Visualization, 2005. INFOVIS 2005. IEEE, pp.111-117, 2005.

T. Asahi, D. Turo, and B. Shneiderman, Using Treemaps to Visualize the Analytic Hierarchy Process, Information Systems Research, vol.6, issue.4, pp.357-375, 1995.
DOI : 10.1287/isre.6.4.357

T. Bon-adriel-aseniero, D. Wun, . Ledo, A. Guenther-ruhe, S. Tang et al., STRATOS: Using Visualization to Support Decisions in Strategic Software Release Planning, Proc. of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pp.1479-1488, 2015.

B. Bach, N. Kerracher, K. W. Hall, S. Carpendale, J. Kennedy et al., Telling Stories about Dynamic Networks with Graph Comics, Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, CHI '16, 2016.
DOI : 10.1145/2858036.2858387
URL : https://hal.archives-ouvertes.fr/hal-01256099

J. Bautista and G. Carenini, An empirical evaluation of interactive visualizations for preferential choice, Proceedings of the working conference on Advanced visual interfaces, AVI '08, pp.207-214, 2008.
DOI : 10.1145/1385569.1385603

S. Michael, G. Bernstein, . Little, C. Robert, B. Miller et al., Soylent: a word processor with a crowd inside, Commun. ACM, vol.58, issue.8, pp.85-94, 2015.

E. Sarah, R. Bonner, . Hastie, B. Geoffrey, . Sprinkle et al., A review of the effects of financial incentives on performance in laboratory tasks: Implications for management accounting, Journal of Management Accounting Research, vol.12, issue.1, pp.19-64, 2000.

N. Boukhelifa, A. Bezerianos, T. Isenberg, and J. Fekete, Evaluating Sketchiness as a Visual Variable for the Depiction of Qualitative Uncertainty, IEEE Transactions on Visualization and Computer Graphics, vol.18, issue.12, pp.2769-2778, 2012.
DOI : 10.1109/TVCG.2012.220
URL : https://hal.archives-ouvertes.fr/hal-00717441

L. Bounegru, T. Venturini, J. Gray, and M. Jacomy, Narrating Networks, Digital Journalism, vol.111, issue.4, pp.1-32, 2016.
DOI : 10.4018/978-1-4666-0312-7.ch006

J. Boy, F. Detienne, and J. Fekete, Storytelling in Information Visualizations, Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI '15, pp.1449-1458, 2015.
DOI : 10.1145/2702123.2702452
URL : https://hal.archives-ouvertes.fr/hal-01133305

J. Boy, R. A. Rensink, E. Bertini, and J. Fekete, A Principled Way of Assessing Visualization Literacy, IEEE Transactions on Visualization and Computer Graphics, vol.20, issue.12, pp.1963-1972, 2014.
DOI : 10.1109/TVCG.2014.2346984
URL : https://hal.archives-ouvertes.fr/hal-01027582

S. Cheng and K. Mueller, The Data Context Map: Fusing Data and Attributes into a Unified Display, IEEE Transactions on Visualization and Computer Graphics, vol.22, issue.1, pp.121-130, 2016.
DOI : 10.1109/TVCG.2015.2467552

M. Daradkeh, C. Churcher, and A. Mckinnon, Supporting informed decision-making under uncertainty and risk through interactive visualisation, Proc. of the Fourteenth Australasian User Interface Conference, pp.23-32, 2013.

E. Dimara, A. Bezerianos, and P. Dragicevic, The Attraction Effect in Information Visualization, IEEE Transactions on Visualization and Computer Graphics, vol.23, issue.1, 2017.
DOI : 10.1109/TVCG.2016.2598594
URL : https://hal.archives-ouvertes.fr/hal-01355750

P. Dragicevic, Fair Statistical Communication in HCI. In Modern Statistical Methods for HCI, pp.291-330, 2016.
DOI : 10.1007/978-3-319-26633-6_13
URL : https://hal.archives-ouvertes.fr/hal-01377894

S. Egelman, H. Ed, S. Chi, and . Dow, Crowdsourcing in HCI Research, Ways of Knowing in HCI, pp.267-289, 2014.
DOI : 10.1007/978-1-4939-0378-8_11

F. Fischer and D. Keim, Vacs: Visual analytics suite for cyber security-visual exploration of cyber security datasets, IEEE VIS, 2013.

S. Gratzl, A. Lex, N. Gehlenborg, H. Pfister, and M. Streit, LineUp: Visual Analysis of Multi-Attribute Rankings, IEEE Transactions on Visualization and Computer Graphics, vol.19, issue.12, pp.2277-2286, 2013.
DOI : 10.1109/TVCG.2013.173

C. Melanie, . Green, C. Timothy, and . Brock, The role of transportation in the persuasiveness of public narratives, JPSP, vol.79, issue.5, p.701, 2000.

C. Melanie, . Green, J. Jeffrey, . Strange, C. Timothy et al., Narrative impact: Social and cognitive foundations, 2003.

J. Heer and M. Bostock, Crowdsourcing graphical perception, Proceedings of the 28th international conference on Human factors in computing systems, CHI '10, pp.203-212, 2010.
DOI : 10.1145/1753326.1753357

J. Heer, F. B. Viégas, and M. Wattenberg, Voyagers and voyeurs, Proceedings of the SIGCHI conference on Human factors in computing systems , CHI '07, pp.1029-1038, 2007.
DOI : 10.1145/1240624.1240781

T. Hollt, A. Magdy, P. Zhan, G. Chen, G. Gopalakrishnan et al., Ovis: A Framework for Visual Analysisof Ocean Forecast Ensembles, IEEE Transactions on Visualization and Computer Graphics, vol.20, issue.8, pp.1114-1126, 2014.
DOI : 10.1109/TVCG.2014.2307892

J. Horton and L. B. Chilton, The labor economics of paid crowdsourcing, Proceedings of the 11th ACM conference on Electronic commerce, EC '10, pp.209-218, 2010.
DOI : 10.1145/1807342.1807376

J. Hullman and N. Diakopoulos, Visualization Rhetoric: Framing Effects in Narrative Visualization, IEEE Transactions on Visualization and Computer Graphics, vol.17, issue.12, pp.2231-2240, 2011.
DOI : 10.1109/TVCG.2011.255

J. Hullman, N. Diakopoulos, and E. Adar, Contextifier, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '13, pp.2707-2716, 2013.
DOI : 10.1145/2470654.2481374

J. Hullman, S. Drucker, N. Henry-riche, and B. Lee, Danyel Fisher, and Eytan Adar. 2013b. A deeper understanding of sequence in narrative visualization, pp.2406-2415, 2013.

R. Jessica and . Hullman, Not All HITs Are Created Equal: Controlling for Reasoning and Learning Processes in MTurk, Proc. of the ACM CHI Workshop on Crowdsourcing and Human Computation. Citeseer, 2011.

D. Kahneman, Thinking, fast and slow, 2011.

G. Kalton and H. Schuman, The Effect of the Question on Survey Responses: A Review, Journal of the Royal Statistical Society. Series A (General), vol.145, issue.1, pp.42-73, 1982.
DOI : 10.2307/2981421

A. Kittur, H. Ed, B. Chi, and . Suh, Crowdsourcing user studies with Mechanical Turk, Proceeding of the twenty-sixth annual CHI conference on Human factors in computing systems , CHI '08, pp.453-456, 2008.
DOI : 10.1145/1357054.1357127
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.2320

R. Kohavi, M. Randal, D. Henne, and . Sommerfield, Practical guide to controlled experiments on the web, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '07, pp.959-967, 2007.
DOI : 10.1145/1281192.1281295

M. Krzywinski and N. Altman, Points of Significance: Error bars, Nature Methods, vol.10, issue.10, pp.921-922, 2013.
DOI : 10.1083/jcb.200611141

B. Lee, R. Habib-kazi, and G. Smith, SketchStory: Telling more engaging stories with data through freeform sketching, pp.2416-2425, 2013.

K. Ma, I. Liao, J. Frazier, H. Hauser, and H. Kostis, Scientific storytelling using visualization, IEEE Computer Graphics and Applications, vol.32, issue.1, pp.12-19, 2012.

W. Mason, J. Duncan, and . Watts, Financial incentives and the "performance of crowds", ACM SIGKDD Explorations Newsletter, vol.11, issue.2, pp.100-108, 2010.
DOI : 10.1145/1809400.1809422

L. Micallef, P. Dragicevic, and J. Fekete, Assessing the Effect of Visualizations on Bayesian Reasoning through Crowdsourcing, IEEE Transactions on Visualization and Computer Graphics, vol.18, issue.12, pp.2536-2545, 2012.
DOI : 10.1109/TVCG.2012.199
URL : https://hal.archives-ouvertes.fr/hal-00717503

H. Müller, A. Sedley, and E. Ferrall-nunge, Survey Research in HCI, Ways of Knowing in HCI, pp.229-266, 2014.
DOI : 10.1007/978-1-4939-0378-8_10

T. Munzner, Visualization Analysis and Design, 2014.

M. Daniel, T. Oppenheimer, N. Meyvis, and . Davidenko, Instructional manipulation checks: Detecting satisficing to increase statistical power, JESP, vol.45, issue.4, pp.867-872, 2009.

G. Paolacci, J. Chandler, G. Panagiotis, and . Ipeirotis, Running experiments on amazon mechanical turk, Judgment and Decision making, vol.5, issue.5, pp.411-419, 2010.

F. Steven, J. Roth, and . Mattis, Data characterization for intelligent graphics presentation, Proc. of the SIGCHI Conference on Human Factors in Computing Systems, pp.193-200, 1990.

P. Saraiya, C. North, and K. Duca, An Insight-Based Methodology for Evaluating Bioinformatics Visualizations, IEEE Transactions on Visualization and Computer Graphics, vol.11, issue.4, pp.443-456, 2005.
DOI : 10.1109/TVCG.2005.53
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.204.8424

A. Satyanarayan and J. Heer, Authoring Narrative Visualizations with Ellipsis, Proc. of the 16th Eurographics Conference on Visualization (EuroVis '14). Eurographics Association, pp.361-370, 2014.
DOI : 10.1111/cgf.12392
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.692.3607

E. Segel and J. Heer, Narrative Visualization: Telling Stories with Data, IEEE Transactions on Visualization and Computer Graphics, vol.16, issue.6, pp.1139-1148, 2010.
DOI : 10.1109/TVCG.2010.179
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.3510

B. Fernanda, D. Viégas, . Boyd, H. David, J. Nguyen et al., Digital artifacts for remembering and storytelling: Posthistory and social network fragments, System Sciences Proc. of the 37th Annual Hawaii International Conference on. IEEE, p.10, 2004.

S. Wehrend and C. Lewis, A problem-oriented classification of visualization techniques, Proceedings of the First IEEE Conference on Visualization: Visualization `90, pp.139-143, 1990.
DOI : 10.1109/VISUAL.1990.146375

W. Bernard, I. H. Jr, and . Frieze, Measuring causal attributions for success and failure: A meta-analysis of the effects of question-wording style, Basic and Applied Social Psychology, vol.7, issue.1, pp.35-51, 1986.

C. Williamson and B. Shneiderman, The dynamic HomeFinder, Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '92, pp.338-346, 1992.
DOI : 10.1145/133160.133216

J. Soo-yi, R. Melton, J. Stasko, and J. A. Jacko, Dust & magnet: multivariate information visualization using a magnet metaphor, Information Visualization, vol.4, issue.4, pp.239-256, 2005.