Memorability of Visual Features in Network Diagrams
We investigate the cognitive impact of various layout features-symmetry, alignment, collinearity, axis alignment and orthogonality - on the recall of network diagrams (graphs). This provides insight into how people internalize these diagrams and what features should or shouldn't be utilised whe...
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| Veröffentlicht in: | IEEE transactions on visualization and computer graphics 2012-12, Vol.18 (12), p.2477-2485 |
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| container_title | IEEE transactions on visualization and computer graphics |
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| creator | Marriott, K. Purchase, H. Wybrow, M. Goncu, C. |
| description | We investigate the cognitive impact of various layout features-symmetry, alignment, collinearity, axis alignment and orthogonality - on the recall of network diagrams (graphs). This provides insight into how people internalize these diagrams and what features should or shouldn't be utilised when designing static and interactive network-based visualisations. Participants were asked to study, remember, and draw a series of small network diagrams, each drawn to emphasise a particular visual feature. The visual features were based on existing theories of perception, and the task enabled visual processing at the visceral level only. Our results strongly support the importance of visual features such as symmetry, collinearity and orthogonality, while not showing any significant impact for node-alignment or parallel edges. |
| doi_str_mv | 10.1109/TVCG.2012.245 |
| format | Article |
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Our results strongly support the importance of visual features such as symmetry, collinearity and orthogonality, while not showing any significant impact for node-alignment or parallel edges.</description><subject>Algorithm design and analysis</subject><subject>Alignment</subject><subject>Collinearity</subject><subject>diagram recall</subject><subject>Educational institutions</subject><subject>experiment</subject><subject>graph layout</subject><subject>Image edge detection</subject><subject>Interactive</subject><subject>Layout</subject><subject>Network diagrams</subject><subject>Networks</subject><subject>Perception</subject><subject>perceptual theories</subject><subject>Recall</subject><subject>Shape</subject><subject>Tasks</subject><subject>Topology</subject><subject>Visual</subject><subject>visual features</subject><subject>Visualization</subject><issn>1077-2626</issn><issn>1941-0506</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqFkDtPwzAQgC0EoqUwMiGhSCwsKT4_mxEVWpAKDFRdLcdxkEvSFDsR6r_HVUsHFobTnXSf7vEhdAl4CICzu_liPB0SDGRIGD9CfcgYpJhjcRxrLGVKBBE9dBbCEmNgbJSdoh4RlEvgoo_oi60br3NXuXaTNGWycKHTVTKxuu28DYlbJa-2_W78Z_Lg9IfXdThHJ6Wugr3Y5wF6nzzOx0_p7G36PL6fpYYBbVMrmSFGCqmLLBdYCExFIWLonJcFyzGnAIUWhkkMnAtphLFFXkJJM87pAN3upq5989XZ0KraBWOrSq9s0wUFEoCzESXyf5QQGIm4hkb05g-6bDq_im8oACCUZNs7ByjdUcY3IXhbqrV3tfYbBVhttautdrXVrqL2yF_vp3Z5bYsD_es5Alc7wFlrD20Rjyec0h_DU4Mo</recordid><startdate>20121201</startdate><enddate>20121201</enddate><creator>Marriott, K.</creator><creator>Purchase, H.</creator><creator>Wybrow, M.</creator><creator>Goncu, C.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| source | IEEE Electronic Library (IEL) |
| subjects | Algorithm design and analysis Alignment Collinearity diagram recall Educational institutions experiment graph layout Image edge detection Interactive Layout Network diagrams Networks Perception perceptual theories Recall Shape Tasks Topology Visual visual features Visualization |
| title | Memorability of Visual Features in Network Diagrams |
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