Visualisera fritt är stor men visualisera rätt är större
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1 Visualisera fritt är stor men visualisera rätt är större Stefan Seipel 1,2 1 Högskolan i Gävle 2 Uppsala Universitet
2
3 Visibility Gartner s Hype Cycle of Emerging Technologies Maturity
4 Virtual Reality Hype Cycles ~1965 ~1986 ~2013 Idea & Proof of Concept Graphics (Tracking) Displays Better Displays (Vision Based Tracking)
5 Virtual Reality Hype Cycles ~1965 ~1986 ~2013 Idea & Proof of Concept Graphics (Tracking) Displays (Vision Based Tracking) 3D Games & Visualization Augmented Reality
6 Virtual Reality Hype Cycles ~1965 ~1985 ~2013 Idea & Proof of Concept Graphics (Tracking) Displays (Vision Based Tracking) 3D Games & Visualization Augmented Reality
7 Augmented Reality Hype Cycles ~1985 ~2010 ~2012 Real Apps Idea & Proof of Concept
8 Story Telling Human Computer Interaction Game Mechanics 3D Models Sensors Pedagogy Gameplay Graphics Engine Cognitive Psychology Rendering 3D Sound 3D Displays Haptics 3D Goggles Animation Experimental Validation Feedback Perception Mature Techniques for 3D Games & Visualization
9 Story Telling Human Computer Interaction Game Mechanics 3D Models Sensors Pedagogy Gameplay Graphics Engine Cognitive Psychology Rendering 3D Sound 3D Displays Haptics 3D Goggles Animation Experimental Validation Feedback Perception Games Experience
10 Story Telling Human Computer Interaction Game Mechanics 3D Models Sensors Pedagogy Gameplay Graphics Engine Cognitive Psychology Rendering 3D Sound 3D Displays Haptics 3D Goggles Animation Experimental Validation Feedback Perception Games Experience Serious Games Learning/Training/Motivation
11 Story Telling Human Computer Interaction Game Mechanics 3D Models Sensors Pedagogy Gameplay 3D Sound Graphics Engine Cognitive Psychology Rendering 3D Displays Haptics 3D Goggles Animation Experimental Validation Feedback Perception Games Experience Serious Games Learning/Training/Motivation Visualization Information Comprehension
12 There is no right nor wrong, only different requirements Inspiring and creative visualizations are good as long as we avoid nonsense designs There exist different shades of well designed visualizations.
13 Informed Visualizations Empiricism Evidence Science (Visualization&Human Factors) Best practice Inspired by examples
14 Validation of Goals Experience (Qualitative) Comprehension (Quantitative) User studies, Experiments, Tests, Observations, Interviews
15 Experience Comprehension Collaborative spatial problem solving Project AQUA Designers tend to overestimate technology
16 Experience Comprehension Task Experimental setup Designers tend to overestimate technology User response (performance)
17 Experience Comprehension Augmented Reality is currently hot in BIM and SmartCities Own development and validation Studies at HiG/UU High expectations and biased perception
18 Experience Comprehension Overestimation of technology and own performance
19 Informed Visualizations Empiricism Evidence Science (Visualization&Human Factors) Best practice Inspired by examples
20 Example Use of color Color theories and color perception are well studied is fundamental to visualization is one of only few visual variables is often misused An experiment
21 Visualize
22 Visualize
23 Visualize
24 Example Use of color Background Target trial #1 Target trial #2 Target trial #3 Just noticeable difference (JND)
25 A design case from process industry Lime Kiln one of many critical process components Collapsed rotary kiln due to overheating as a result of insulation defects
26 A design case from process industry A process operator s work A lot of things to keep track of Most of the time little action
27 A design case from process industry The task: Change detection The visualization: Current state Manual transitions Issues with colors
28 Pre-studies Color mapping designs for JND tasks Graphical mappings 2D map 3D map 3D cylindrical
29 Validation study in the field Degrees C Temperature increase 40s Interval
30 Detection Time [s] Some results Detection Times (Median) Between Teams D Map 3D Field 3D Tube B-Team F-Team
31 Conclusion Visualisera rätt Empiricism Evidence Science (Visualization&Human Factors) Visualisera fritt Best practice Inspired by examples
32 Conclusion Scientific Community Visualization Experts Empiricism Evidence Domain Experts Science (Visualization&Human Factors) Media Society Best practice Inspired by examples Universities Companies/Organizations
33 Thanks for listening! Questions?
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