An Evaluation of Glyph Perception for Real Symmetric Traceless Tensor Properties

Abstract

A perceptual study of four tensor glyphs for symmetric, real, traceless tensors was performed. Each glyph encodes three properties of the system: Orientation, uniaxiality (alignment along the direction of orientation), and biaxiality (alignment along a vector orthogonal to the orientation). Thirty users over two studies were asked to identify these three properties for each glyph type under a variety of permutations in order to evaluate the effectiveness of visually communicating the properties; response time was also measured. We discuss the significant differences found between the methods as guidance to the use of these glyphs for traceless tensor visualization.

Superquadric Glyphs for Symmetric Second-Order Tensors

“…Following on recent work by Jankun-Kelly et al [24] for perceptually evaluating traceless tensor glyphs, future work may quantitatively investigate the effectiveness of our glyph for general symmetric tensors, perhaps in the context of particular application areas. Specialpurpose glyphs may offer advantages for particular applications in- (b) Our symmetric tensor glyphs, applied to the same traceless plane Fig.…”

A Systematic Review of Experimental Studies on Data Glyphs

“…In seven studies (10.94 percent) a single data point was shown to participants at a time [48], [49], [50], [54], [55], [64], [91]. These studies tried to control all parameters and avoid …”

“…Patients rated by psychiatrists [21] Minnesota Multiphasic Personality Inventory Medical data [32] unknown Medical images [56] unknown Cars dataset [34] http://davis.wpi.edu/ xmdv/datasets/cars.html Project plans [35] unknown MM5 weather information [36] unknown Weather information [37] NCEP forecast model Weather information [42] Operational Regional Atmospheric Prediction System Modified U.S. census data [38] unknown Financial data [40] Investment in education USA (2008) Financial data [84] Wall Street Journal Index (1974 and 1975) Financial data [85] Standard and Poor's firm list (1974 and 1975) Classical music data [41] unknown k data [43] Lostpedia wiki edits Network data [44] 10 best ranked movies (IMDb) Google search results [45] http://www.google.de Marathon runners [50] unknown Power plant statistics [53] unknown Audio information [62] One laptop per child sound library Biological data [70] unknown Economic variables [77] U.S. Department of commerce & labor Tensor data [92] DTI dataset possible confounding factors, so as to better reason about changes in performance when modifying specific aspects of the same design [91], or when comparing it with other representations [48], [49], [50], [54], [64], or layouts [55].…”

“…This is perhaps not surprising as glyphs are often meant to provide quick overviews over a large number of varying multi-dimensional data points-and the use of synoptic tasks may reflect the authors' desire to test glyphs in a realistic use context. Multi-dimensional [21], [34], [36], [37], [38], [40], [42], [45], [46], [48], [49], [50], [51], [53], [60], [65], [72], [79], [88], [90], [91] [32] [38], [84], [85] [17], [33], [45], [47], [52], [57], [58], [59], [61], [63], [64], [66], [73], [74], [75], [76], [77], [78], [80], [86], [87], [89], [92] [37], [39], [40], …”

Survey of glyph-based visualization techniques for spatial multivariate medical data

“…The distinct glyphs are placed at a regular grid and controlled by a fractional anisotropy threshold in order to minimize visual clutter. Jankun-Kelly et al [36] have evaluated the use of four different glyph visualizations for depicting traceless tensor data. They could show, that among the tested techniques, superquadric glyphs led to lower total error and lower response times.…”