LiteVis: Integrated Visualization for Simulation-Based Decision Support in Lighting Design

State-of-the-art lighting design is based on physically accurate lighting simulations of scenes such as offices. The simulation results support lighting designers in the creation of lighting configurations, which must meet contradicting customer objectives regarding quality and price while conforming to industry standards. However, current tools for lighting design impede rapid feedback cycles. On the one side, they decouple analysis and simulation specification. On the other side, they lack capabilities for a detailed comparison of multiple configurations. The primary contribution of this paper is a design study of LiteVis, a system for efficient decision support in lighting design. LiteVis tightly integrates global illumination-based lighting simulation, a spatial representation of the scene, and non-spatial visualizations of parameters and result indicators. This enables an efficient iterative cycle of simulation parametrization and analysis. Specifically, a novel visualization supports decision making by ranking simulated lighting configurations with regard to a weight-based prioritization of objectives that considers both spatial and non-spatial characteristics. In the spatial domain, novel concepts support a detailed comparison of illumination scenarios. We demonstrate LiteVis using a real-world use case and report qualitative feedback of lighting designers. This feedback indicates that LiteVis successfully supports lighting designers to achieve key tasks more efficiently and with greater certainty.

[1]  Donald P. Greenberg,et al.  A user interface for interactive cinematic shadow design , 2002, SIGGRAPH.

[2]  Baoquan Chen,et al.  Crayon lighting: sketch-guided illumination of models , 2007, GRAPHITE '07.

[3]  Jyrki Wallenius,et al.  Multiple Criteria Decision Making: From Early History to the 21st Century , 2011 .

[4]  Alexander V. Lotov,et al.  Interactive Decision Maps: Approximation and Visualization of Pareto Frontier , 2004 .

[5]  Adam Finkelstein,et al.  Lighting with paint , 2007, TOGS.

[6]  Lance Williams,et al.  Casting curved shadows on curved surfaces , 1978, SIGGRAPH.

[7]  Wen-Chieh Lin,et al.  Interactive Lighting Design with Hierarchical Light Representation , 2013, Comput. Graph. Forum.

[8]  Jyrki Wallenius,et al.  Visualization in the Multiple Objective Decision-Making Framework , 2008, Multiobjective Optimization.

[9]  Daniel L. Schwartz,et al.  Parallel prototyping leads to better design results, more divergence, and increased self-efficacy , 2010, TCHI.

[10]  Eduard Gröller,et al.  Cupid: Cluster-Based Exploration of Geometry Generators with Parallel Coordinates and Radial Trees , 2014, IEEE Transactions on Visualization and Computer Graphics.

[11]  Stefan Bruckner,et al.  Visual Parameter Space Analysis: A Conceptual Framework , 2014, IEEE Transactions on Visualization and Computer Graphics.

[12]  Jeffrey Heer,et al.  SpanningAspectRatioBank Easing FunctionS ArrayIn ColorIn Date Interpolator MatrixInterpola NumObjecPointI Rectang ISchedu Parallel Pause Scheduler Sequen Transition Transitioner Transiti Tween Co DelimGraphMLCon IData JSONCon DataField DataSc Dat DataSource Data DataUtil DirtySprite LineS RectSprite , 2011 .

[13]  Ofer M. Shir,et al.  Self-organizing maps for multi-objective pareto frontiers , 2013, 2013 IEEE Pacific Visualization Symposium (PacificVis).

[14]  Yasuyuki Matsushita,et al.  Illumination Brush: Interactive Design of All-Frequency Lighting , 2007, 15th Pacific Conference on Computer Graphics and Applications (PG'07).

[15]  Wolfgang Berger,et al.  A Multi-Threading Architecture to Support Interactive Visual Exploration , 2009, IEEE Transactions on Visualization and Computer Graphics.

[16]  Jeffrey Heer,et al.  D³ Data-Driven Documents , 2011, IEEE Transactions on Visualization and Computer Graphics.

[17]  Holtzblatt Karen,et al.  Contextual Inquiry: A Participatory Technique for System Design , 2017 .

[18]  Kevin G. Suffern,et al.  Painting with light , 2002, SIGGRAPH '02.

[19]  Daniel F. Keefe,et al.  Design by Dragging: An Interface for Creative Forward and Inverse Design with Simulation Ensembles , 2013, IEEE Transactions on Visualization and Computer Graphics.

[20]  Peter Wonka,et al.  Procedural Design of Exterior Lighting for Buildings with Complex Constraints , 2014, ACM Trans. Graph..

[21]  Hanspeter Pfister,et al.  LineUp: Visual Analysis of Multi-Attribute Rankings , 2013, IEEE Transactions on Visualization and Computer Graphics.

[22]  Kaisa Miettinen,et al.  Synchronous approach in interactive multiobjective optimization , 2006, Eur. J. Oper. Res..

[23]  Michael J. McGuffin,et al.  Quantifying the Space-Efficiency of 2D Graphical Representations of Trees , 2010, Inf. Vis..

[24]  Stefan Bruckner,et al.  Result-Driven Exploration of Simulation Parameter Spaces for Visual Effects Design , 2010, IEEE Transactions on Visualization and Computer Graphics.

[25]  Michael Wimmer,et al.  Fast light-map computation with virtual polygon lights , 2013, I3D '13.

[26]  Pierre Poulin,et al.  Lights from highlights and shadows , 1992, I3D '92.

[27]  Gennady Andrienko,et al.  Constructing Parallel Coordinates Plot for Problem Solving , 2001 .

[28]  Tamara Munzner,et al.  A Nested Model for Visualization Design and Validation , 2009, IEEE Transactions on Visualization and Computer Graphics.

[29]  Ellen Yi-Luen Do,et al.  Developing architectural lighting representations , 2003, IEEE Symposium on Information Visualization 2003 (IEEE Cat. No.03TH8714).

[30]  Miguel J. Bagajewicz,et al.  Pareto Optimal Solutions Visualization Techniques for Multiobjective Design and Upgrade of Instrumentation Networks , 2003 .