How Dimensional and Semantic Attributes of Visual Sign Influence Relative Value Estimation

Author:

Li Yi-Na1ORCID,Zhang Kang2,Li Dong-Jin1

Affiliation:

1. Nankai University, Tianjin, China

2. The University of Texas at Dallas, Richardson, USA

Abstract

High-quality decision making requires accurate estimation of relative values. The perceptual bias when estimating relative values displayed by a visual sign may weaken the accuracy and cause misjudgment. This research explores the heuristic estimation of relative values using visual cues, namely linear, areal, and volumetric information. We conduct experiments to empirically test the influences of dimensional information on perceptual biases. First, we investigate the conspicuity of areal information. Our experiments indicate that the responses of participants instructed to estimate rates defined by either linear or volumetric information are biased by the corresponding rates determined by areal information. Second, visual cues implying three-dimensional information (e.g., depth) can lead to overestimation. Third, we probe the influence of vividness as the boundary condition on relative value estimation. Empirical evidence on perceptual bias sheds light on the pragmatics of visual signs, helps suggest guidelines for visual persuasions, and improves decision-making quality.

Funder

China Postdoctoral Science Foundation

International Postdoctoral Exchange Fellowship

National Nature Science Foundation of China

Publisher

Association for Computing Machinery (ACM)

Subject

Experimental and Cognitive Psychology,General Computer Science,Theoretical Computer Science

Reference43 articles.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Neighborhood Perception in Bar Charts;Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems;2019-05-02

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