nach oben

Erschienen in:

2019 | OriginalPaper | Buchkapitel

Influence of Color and Size of Particles on Their Perceived Speed in Node-Link Diagrams

verfasst von : Hugo Romat, Dylan Lebout, Emmanuel Pietriga, Caroline Appert

Erschienen in: Human-Computer Interaction – INTERACT 2019

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Edges in networks often represent transfer relationships between vertices. When visualizing such networks as node-link diagrams, animated particles flowing along the links can effectively convey this notion of transfer. Variables that govern the motion of particles, their speed in particular, may be used to visually represent edge data attributes. Few guidelines exist to inform the design of these particle-based network visualizations, however. Empirical studies so far have only looked at the different motion variables in isolation, independently from other visual variables controlling the appearance of particles, such as their color or size. In this paper, we report on a study of the influence of several visual variables on users’ perception of the speed of particles. Our results show that particles’ luminance, chromaticity and width do not interfere with their perceived speed. But variations in their length make it more difficult for users to compare the relative speed of particles across edges.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Customizing Websites Through Automatic Web Search

Nächstes Kapitel Augmented Reality Technology for Displaying Close-Proximity Sub-Surface Positions

Nur mit Berechtigung zugänglich

Which is redundant with the green vs. orange color and with the actual motion when animating the visualization, but becomes more useful when looking at a still image.

Marks are presented in isolation or in pairs at best.

Marks do not vary in their size and shape.

Distance between links is computed as the minimum distance among all four pairs of endpoints between the two links.

Calculation of link length ignores the link’s curvature.

To keep the submission anonymous, the companion website is provided only as supplemental material for now.

We use formula (8) in [35] considering that particles are small elongated marks that can have various orientations.

Archambault, D., Purchase, H.C.: On the effective visualisation of dynamic attribute cascades. Inf. Vis. 15(1), 51–63 (2016). https://doi.org/10.1177/1473871615576758CrossRef

Bach, B., Henry Riche, N., Hurter, C., Marriott, K., Dwyer, T.: Towards unambiguous edge bundling: investigating confluent drawings for network visualization. IEEE Trans. Visual. Comput. Graph. 23(1), 541–550 (2017). https://doi.org/10.1109/TVCG.2016.2598958CrossRef

Bartram, L.: Perceptual and interpretative properties of motion for information visualization. In: Proceedings of the Workshop on New Paradigms in Information Visualization and Manipulation, NPIV 1997, pp. 3–7. ACM (1997). https://doi.org/10.1145/275519.275520

Bartram, L., Ware, C.: Filtering and brushing with motion. Inf. Vis. 1(1), 66–79 (2002). https://doi.org/10.1057/palgrave.ivs.9500005CrossRef

Bartram, L., Yao, M.: Animating causal overlays. In: Computer Graphics Forum, vol. 27, pp. 751–758. Wiley Online Library (2008). https://doi.org/10.1111/j.1467-8659.2008.01204.xCrossRef

Birk, K., Dickson, C., Schroh, D.: Data flow in the Tor network (2015). https://torflow.uncharted.software/

Blaas, J., Botha, C., Grundy, E., Jones, M., Laramee, R., Post, F.: Smooth graphs for visual exploration of higher-order state transitions. IEEE Trans. Visual. Comput. Graph. 15(6), 969–976 (2009). https://doi.org/10.1109/TVCG.2009.181CrossRef

Blakemore, M.R., Snowden, R.J.: The effect of contrast upon perceived speed: A general phenomenon? Perception 28(1), 33–48 (1999). https://doi.org/10.1068/p2722CrossRef

Bostock, M., Ogievetsky, V., Heer, J.: D3 data-driven documents. IEEE Trans. Visual. Comput. Graph. 17(12), 2301–2309 (2011). https://doi.org/10.1109/TVCG.2011.185CrossRef

10.

Brychtová, A., Çöltekin, A.: The effect of spatial distance on the discriminability of colors in maps. Cartography Geogr. Inf. Sci. 44(3), 229–245 (2017). https://doi.org/10.1080/15230406.2016.1140074CrossRef

11.

Buschmann, S., Trapp, M., Döllner, J.: Animated visualization of spatial-temporal trajectory data for air-trac analysis. Vis. Comput. 32(3), 371–381 (2016). https://doi.org/10.1007/s00371-015-1185-9CrossRef

12.

Cornec, O., Vuillemot, R.: Visualizing the scale of world economies. In: VisWeek 2015 Electronic Conference Proceedings - Poster (2015)

13.

Cruz, P.: Wrongfully right: applications of semantic figurative metaphors in information visualization. In: IEEE VIS Arts Program, pp. 14–21. VISAP (2015)

14.

Etemadpour, R., Murray, P., Forbes, A.G.: Evaluating density-based motion for big data visual analytics. In: IEEE International Conference on Big Data, pp. 451–460, October 2014. https://doi.org/10.1109/BigData.2014.7004262

15.

Fechner, G.: Elements of Psychophysics, vol. 1. American Psychological Association, Washington, DC (1966)

16.

Fisher, D.: Animation for visualization: opportunities and drawbacks. In: Beautiful Visualization, chap. 19, pp. 329–352. O’Reilly Media (2010)

17.

Gegenfurtner, K.R., Hawken, M.J.: Perceived velocity of luminance, chromatic and non-fourier stimuli: influence of contrast and temporal frequency. Vision Res. 36(9), 1281–1290 (1996). https://doi.org/10.1016/0042-6989(95)00198-0CrossRef

18.

Haroz, S., Ma, K.L., Heitmann, K.: Multiple uncertainties in time-variant cosmological particle data. In: IEEE Pacific Visualization Symposium, pp. 207–214, March 2008. https://doi.org/10.1109/PACIFICVIS.2008.4475478

19.

Haroz, S., Whitney, D.: Temporal thresholds for feature detection in flow visualization. In: Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization, APGV 2010, p. 163. ACM (2010). https://doi.org/10.1145/1836248.1836285

20.

Henry Riche, N., Dwyer, T., Lee, B., Carpendale, S.: Exploring the design space of interactive link curvature in network diagrams. In: Proceedings of the International Working Conference on Advanced Visual Interfaces, AVI 2012, pp. 506–513. ACM (2012). https://doi.org/10.1145/2254556.2254652

21.

Hinrichs, U., Butscher, S., Müller, J., Reiterer, H.: Diving in at the deep end: the value of alternative in-situ approaches for systematic library search. In: Proceedings of the CHI Conference on Human Factors in Computing Systems, pp. 4634–4646. ACM (2016). https://doi.org/10.1145/2858036.2858549

22.

Holten, D., Isenberg, P., Van Wijk, J.J., Fekete, J.D.: An extended evaluation of the readability of tapered, animated, and textured directed-edge representations in node-link graphs. In: 2011 IEEE Pacific Visualization Symposium, pp. 195–202. IEEE (2011)

23.

Huber, D.E., Healey, C.G.: Visualizing data with motion. In: Proceedings of IEEE Visualization, pp. 527–534 (2005). https://doi.org/10.1109/VISUAL.2005.1532838

24.

Itoh, M., Yokoyama, D., Toyoda, M., Tomita, Y., Kawamura, S., Kitsuregawa, M.: Visual exploration of changes in passenger flows and tweets on mega-city metro network. IEEE Trans. Big Data 2(1), 85–99 (2016). https://doi.org/10.1109/TBDATA.2016.2546301CrossRef

25.

von Landesberger, T., Diel, S., Bremm, S., Fellner, D.W.: Visual analysis of contagion in networks. Inf. Vis. 14(2), 93–110 (2015). https://doi.org/10.1177/1473871613487087CrossRef

26.

McLoughlin, T., Laramee, R.S., Peikert, R., Post, F.H., Chen, M.: Over two decades of integration-based, geometric flow visualization. In: Computer Graphics Forum, vol. 29, pp. 1807–1829. Wiley Online Library (2010). https://doi.org/10.1111/j.1467-8659.2010.01650.xCrossRef

27.

Michotte, A.: The Perception of Causality. Methuen’s Manuals of Modern Psychology. Basic Books, New York (1963)

28.

Nagel, T., Pietsch, C., Dork, M.: Staged analysis: from evocative to comparative visualizations of urban mobility. In: VIS Arts Program (VISAP), pp. 1–8. IEEE (2017). https://doi.org/10.1109/VISAP.2017.8282374

29.

Romat, H., Appert, C., Bach, B., Henry-Riche, N., Pietriga, E.: Animated edge textures in node-link diagrams: a design space and initial evaluation. In: Proceedings of the CHI Conference on Human Factors in Computing Systems, CHI 2018, pp. 187:1–187:13. ACM (2018). https://doi.org/10.1145/3173574.3173761

30.

Segel, E., Heer, J.: Narrative visualization: telling stories with data. IEEE Trans. Visual. Comput. Graph. 16(6), 1139–1148 (2010). https://doi.org/10.1109/TVCG.2010.179CrossRef

31.

Sekuler, R., Watamaniuk, S., Blake, R.: Perception of visual motion. In: Stevens’ Handbook of Experimental Psychology: Vol. 1 Sensation and Perception, 3rd edn. pp. 121–176. Wiley (2004)

32.

Smith, D.R.R., Derrington, A.M.: What is the denominator for contrast normalisation? Vision Res. 36(23), 3759–3766 (1996). https://doi.org/10.1016/0042-6989(96)00100-9CrossRef

33.

Sotiropoulos, G., Seitz, A.R., Seriès, P.: Contrast dependency and prior expectations in human speed perception. Vision Res. 97, 16–23 (2014). https://doi.org/10.1016/j.visres.2014.01.012CrossRef

34.

Stone, L.S., Thompson, P.: Human speed perception is contrast dependent. Vision Res. 32(8), 1535–1549 (1992). https://doi.org/10.1016/0042-6989(92)90209-2CrossRef

35.

Szafir, D.A.: Modeling color difference for visualization design. IEEE Trans. Visual. Comput. Graph. 24(1), 392–401 (2018). https://doi.org/10.1109/TVCG.2017.2744359CrossRef

36.

Ware, C., Bobrow, R.: Motion to support rapid interactive queries on node-link diagrams. ACM Trans. Appl. Percept. 1(1), 3–18 (2004). https://doi.org/10.1145/1008722.1008724CrossRef

37.

Weiskopf, D.: On the role of color in the perception of motion in animated visualizations. In: IEEE Visualization. pp. 305–312, October 2004. https://doi.org/10.1109/VISUAL.2004.73

38.

Willis, A., Anderson, S.J.: Colour and luminance interactions in the visual perception of motion. Proc. Roy. Soc. London B Biol. Sci. 269(1495), 1011–1016 (2002). https://doi.org/10.1098/rspb.2002.1985CrossRef

39.

Yong, Z., Hsieh, P.J.: Speed-size illusion correlates with retinal-level motion statistics. J. Vis. 17(9), 1 (2017)CrossRef

Titel: Influence of Color and Size of Particles on Their Perceived Speed in Node-Link Diagrams
verfasst von: Hugo Romat
Dylan Lebout
Emmanuel Pietriga
Caroline Appert
Verlag: Springer International Publishing
Buch: Human-Computer Interaction – INTERACT 2019
Print ISBN: 978-3-030-29383-3

Electronic ISBN: 978-3-030-29384-0

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-29384-0_37

Neuer Inhalt

Bildnachweise

VDI-Icon, Profil Icon, inhalt2, Springer Professional Modul/© Springer Fachmedien Wiesbaden GmbH, Nachhaltigkeitsaward Key Visual/© Cometis AG/Global ESG Monitor | Daniel Rupp | Generiert mit KI, Search Icon, Banner Hanser, Arbeitszeit/© granata68 / Fotolia, E-Autos im Fuhrpark: Lohnt sich das noch?/© Petair / stock.adobe.com, Kryptowährungen/© gopixa / Getty Images / iStock, Zeitschrift Wissensmanagement Cover, PatentFit-Logo/© Springer Fachmedien Wiesbaden GmbH, Sustainibility Finance/© Robert Kneschke / stock.adobe.com / Springer Fachmedien Wiesbaden GmbH, Zukunftswerkstatt Sales Excellence 2024/© AndreyPopov / Getty Images / iStock, 2023_Antrieb/© supervisuell

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Neuer Inhalt

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.