Saliency metric for subadditive dissimilarity judgments of rectangles

Lazarte, Alejandro A.; Schönemann, Peter H.

doi:10.3758/bf03205034

Cited by 5 publications

(7 citation statements)

References 34 publications

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“…As expected, the degree that different features affected similarity judgements varied across participants. This disparity is consistent with the finding in other perception experiments that different people judge similarity using different features [11]. What was surprising was that the participants seemed to be clumped into two distinct groups.…”

Section: Correlated Features (In Order Of Decreasing Importance)supporting

confidence: 91%

“…When the range of differences is large, the relationship between stimuli value and similarity is not linear, and the stimuli do not combine linearly. Lazarte and colleagues studied how rectangle height and width affected perceived similarity [11]. They found that reported similarity was related to rectangle width and height and they derived a model to fit the reported similarity data.…”

Section: Perceptual Similaritymentioning

confidence: 99%

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Visual similarity of pen gestures

Long

Landay

Rowe

et al. 2000

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

110

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+ 1 -5 1 0 -6 4 3 -7 1 0 6 h t t p : / / w w w . c s . b e r k e l e y . e d u / -{ allanl,landay, r o w e } ABSTRACT Pen-based user interfaces are becoming ever more popular. G e s t u r e s (i.e., m a r k s made with a pen to i n v o k e a command) are a valuable aspect of pen-based UIs, but they also have drawbacks. The challenge in designing good gestures is to make them easy for people to learn and remember. With the goal of better gesture design, we performed a pair of experiments to determine why users find gestures similar. From these experiments, we have derived a computational model for predicting perceived gesture similarity that correlates 0.56 with observation. We will incorporate the results of these experiments into a gesture design tool, which will aid the pen-based UI designer in creating gesture sets that are easier to learn and more memorable. KeywordsPen-based user interfaces, pen gestures, multi-dimensional scaling, similarity, perception el=iv ::a'OOO CHI Letters volume 2 • issue 1

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Section: Correlated Features (In Order Of Decreasing Importance)supporting

confidence: 91%

Section: Perceptual Similaritymentioning

confidence: 99%

Visual similarity of pen gestures

Long

Landay

Rowe

et al. 2000

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

110

View full text Add to dashboard Cite

show abstract

“…Schonernann and his colleagues (Lazarte & Schonemann, 1991;Schonemann et aI., 1985;Schonemann & Lazarte, 1987) have developed a method for inferring the metric from the actual dissimilarity judgments (which are not subject to arbitrary transformation). The metrics that they infer are not members of the Minkowski class and are not the same for all observers.…”

mentioning

confidence: 99%

The mean-integral representation of rectangles

Macmillan¹,

Ornstein²

1998

Perception & Psychophysics

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To assess perceptual interaction between the height and width of rectangles, we used an accuracy variant of the Gamer paradigm. Wemeasured the discriminability of height and width (baseline tasks) and size and shape (correlated tasks). From the d' values in these conditions, we estimated perceptual distances and inferred a mean-integral representation in which height and width corresponded to nonindependent dimensions in a perceptual space. This model accounted well for performance in these two-stimulus conditions, and it also explained 70% -80%of the decline in performance in selective and divided attention. In a second experiment, conducted for purposes of comparison with the rectangle discrimination Experiment, we studied the discrimination of horizontal and vertical line segments connected in an L-shape. In size discrimination, observers were equally good with line pairs and rectangles,suggesting holistic perception; but in shape discrimination, they appeared to combine information from the two line-pair components of the rectangle independently. The mean-integral model was again successful in relating performance in the Gamer tasks quantitatively.Rectangles are among the simplest visual forms, and the manner in which they are perceived is of some importance in visual perception. In addition, many studies of rectangles have been motivated by psychophysical considerations. Complex perceptual objects (faces, say, or speech) are often said to be "multidimensional," meaning that such objects depend perceptually on several characteristics, and rectangle perception has provided a workshop for trying out alternative realizations of the multidimensional idea.As illustrated by the minimal set in Figure 1, rectangles can differ in height (vertical axis), width (horizontal axis), size (along the minor diagonal), and shape (along the major diagonal). Any or all of these dimensions may be psychologically important, and a critical research question has been whether height and width, or size and shape, are the defining dimensions for perception. A second question has been whether the dimensions used in the representation interact, or whether they are independent. As Schonemann (1990) has pointed out, there has not been full agreement; the answers have depended in part on the psychophysical methodology used to ask the questions.One useful experimental approach has been to measure identification (absolute judgment) of sets of rectangles. Weintraub (1971) combined 15 values ofheight and 15 values ofwidth to form a group of225 forms. Subsets of 15, one for each possible height, were constructed in a variety ofways, and stimuli within each subset were preThis research was supported by NSF grant DBS 92-12043 and a PSC-CUNY award to the first author. A preliminary report of the data was presented at the Psychonomic Society meetings in Washington, DC, November 1993. We are grateful to John Kingston and Todd Maddox for their comments on an earlier draft. Please address correspondence to N. A. Macmillan, Department of Psychology, Br...

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“…However, on a more mundane level, I cannot help thinking that the development of these generalizations-as useful as they may be in practical data analysis-are an indication that at least some of the most fundamental scientific requirements of invariance -unidimensionality, additivity, and specific objectivity-mostly do not hold in psychology (cf. Cliff, 1992;Lazarte & Schonemann, 1991;Schonemann, 1982Schonemann, , 1983Schonemann, , 1994Schonemann & Lazarte, 1987). This and Humphry's direct reference to measurement in physics brings me to the final point of my commentary.…”

mentioning

confidence: 89%

An Old Problem with a New Solution, Raising Classical Questions: A Commentary on Humphry

Heene

2011

Measurement: Interdisciplinary Res. & Perspective

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Saliency metric for subadditive dissimilarity judgments of rectangles

Cited by 5 publications

References 34 publications

Visual similarity of pen gestures

Visual similarity of pen gestures

The mean-integral representation of rectangles

An Old Problem with a New Solution, Raising Classical Questions: A Commentary on Humphry

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