FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2003146622> ?p ?o ?g. }

• W2003146622 endingPage "1186" @default.
• W2003146622 startingPage "1173" @default.
• W2003146622 abstract "When visualizing data with uncertainty, a common approach is to treat uncertainty as an additional dimension and encode it using a visual variable. The effectiveness of this approach depends on how the visual variables chosen for representing uncertainty and other attributes interact to influence the user's perception of each variable. We report a user study on the perception of graph edge attributes when uncertainty associated with each edge and the main edge attribute are visualized simultaneously using two separate visual variables. The study covers four visual variables that are commonly used for visualizing uncertainty on line graphical primitives: lightness, grain, fuzziness, and transparency. We select width, hue, and saturation for visualizing the main edge attribute and hypothesize that we can observe interference between the visual variable chosen to encode the main edge attribute and that to encode uncertainty, as suggested by the concept of dimensional integrality. Grouping the seven visual variables as color-based, focus-based, or geometry-based, we further hypothesize that the degree of interference is affected by the groups to which the two visual variables belong. We consider two further factors in the study: discriminability level for each visual variable as a factor intrinsic to the visual variables and graph-task type (visual search versus comparison) as a factor extrinsic to the visual variables. Our results show that the effectiveness of a visual variable in depicting uncertainty is strongly mediated by all the factors examined here. Focus-based visual variables (fuzziness, grain, and transparency) are robust to the choice of visual variables for encoding the main edge attribute, though fuzziness has stronger negative impact on the perception of width and transparency has stronger negative impact on the perception of hue than the other uncertainty visual variables. We found that interference between hue and lightness is much greater than that between saturation and lightness, though all three are color-based visual variables. We also found a compound relationship between discriminability level and the degree of dimensional integrality. We discuss the generalizability and limitation of the results and conclude with design considerations for visualizing graph uncertainty derived from these results, including recommended choices of visual variables when the relative importance of data attributes and graph tasks is known." @default.
• W2003146622 created "2016-06-24" @default.
• W2003146622 creator A5024455980 @default.
• W2003146622 creator A5030179454 @default.
• W2003146622 creator A5052381120 @default.
• W2003146622 date "2015-10-01" @default.
• W2003146622 modified "2023-10-10" @default.
• W2003146622 title "Representing Uncertainty in Graph Edges: An Evaluation of Paired Visual Variables" @default.
• W2003146622 cites W1550334873 @default.
• W2003146622 cites W1971132461 @default.
• W2003146622 cites W1972655527 @default.
• W2003146622 cites W1990662086 @default.
• W2003146622 cites W1994819260 @default.
• W2003146622 cites W2000972618 @default.
• W2003146622 cites W2008196074 @default.
• W2003146622 cites W2013060577 @default.
• W2003146622 cites W2015011409 @default.
• W2003146622 cites W2019966888 @default.
• W2003146622 cites W2044988964 @default.
• W2003146622 cites W2045025695 @default.
• W2003146622 cites W2079990928 @default.
• W2003146622 cites W2097173901 @default.
• W2003146622 cites W2100613188 @default.
• W2003146622 cites W2100822181 @default.
• W2003146622 cites W2107139603 @default.
• W2003146622 cites W2109911343 @default.
• W2003146622 cites W2132881639 @default.
• W2003146622 cites W2135415614 @default.
• W2003146622 cites W2136436991 @default.
• W2003146622 cites W2157316473 @default.
• W2003146622 cites W2163685257 @default.
• W2003146622 cites W300909183 @default.
• W2003146622 cites W4242372420 @default.
• W2003146622 cites W4298144194 @default.
• W2003146622 cites W2129901298 @default.
• W2003146622 doi "https://doi.org/10.1109/tvcg.2015.2424872" @default.
• W2003146622 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26340040" @default.
• W2003146622 hasPublicationYear "2015" @default.
• W2003146622 type Work @default.
• W2003146622 sameAs 2003146622 @default.
• W2003146622 citedByCount "45" @default.
• W2003146622 countsByYear W20031466222016 @default.
• W2003146622 countsByYear W20031466222017 @default.
• W2003146622 countsByYear W20031466222018 @default.
• W2003146622 countsByYear W20031466222019 @default.
• W2003146622 countsByYear W20031466222020 @default.
• W2003146622 countsByYear W20031466222021 @default.
• W2003146622 countsByYear W20031466222022 @default.
• W2003146622 countsByYear W20031466222023 @default.
• W2003146622 crossrefType "journal-article" @default.
• W2003146622 hasAuthorship W2003146622A5024455980 @default.
• W2003146622 hasAuthorship W2003146622A5030179454 @default.
• W2003146622 hasAuthorship W2003146622A5052381120 @default.
• W2003146622 hasConcept C104317684 @default.
• W2003146622 hasConcept C119857082 @default.
• W2003146622 hasConcept C126537357 @default.
• W2003146622 hasConcept C132525143 @default.
• W2003146622 hasConcept C134306372 @default.
• W2003146622 hasConcept C153180895 @default.
• W2003146622 hasConcept C154945302 @default.
• W2003146622 hasConcept C162307627 @default.
• W2003146622 hasConcept C169760540 @default.
• W2003146622 hasConcept C178253425 @default.
• W2003146622 hasConcept C182365436 @default.
• W2003146622 hasConcept C185592680 @default.
• W2003146622 hasConcept C26760741 @default.
• W2003146622 hasConcept C27574286 @default.
• W2003146622 hasConcept C2780233690 @default.
• W2003146622 hasConcept C31972630 @default.
• W2003146622 hasConcept C33923547 @default.
• W2003146622 hasConcept C36464697 @default.
• W2003146622 hasConcept C38652104 @default.
• W2003146622 hasConcept C41008148 @default.
• W2003146622 hasConcept C55493867 @default.
• W2003146622 hasConcept C66746571 @default.
• W2003146622 hasConcept C80444323 @default.
• W2003146622 hasConcept C86803240 @default.
• W2003146622 hasConceptScore W2003146622C104317684 @default.
• W2003146622 hasConceptScore W2003146622C119857082 @default.
• W2003146622 hasConceptScore W2003146622C126537357 @default.
• W2003146622 hasConceptScore W2003146622C132525143 @default.
• W2003146622 hasConceptScore W2003146622C134306372 @default.
• W2003146622 hasConceptScore W2003146622C153180895 @default.
• W2003146622 hasConceptScore W2003146622C154945302 @default.
• W2003146622 hasConceptScore W2003146622C162307627 @default.
• W2003146622 hasConceptScore W2003146622C169760540 @default.
• W2003146622 hasConceptScore W2003146622C178253425 @default.
• W2003146622 hasConceptScore W2003146622C182365436 @default.
• W2003146622 hasConceptScore W2003146622C185592680 @default.
• W2003146622 hasConceptScore W2003146622C26760741 @default.
• W2003146622 hasConceptScore W2003146622C27574286 @default.
• W2003146622 hasConceptScore W2003146622C2780233690 @default.
• W2003146622 hasConceptScore W2003146622C31972630 @default.
• W2003146622 hasConceptScore W2003146622C33923547 @default.
• W2003146622 hasConceptScore W2003146622C36464697 @default.
• W2003146622 hasConceptScore W2003146622C38652104 @default.
• W2003146622 hasConceptScore W2003146622C41008148 @default.
• W2003146622 hasConceptScore W2003146622C55493867 @default.

• next