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Human Vision at a Glance (Invited Talk)

Authors Ruth Rosenholtz , Dian Yu

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Subject Classification

ACM Subject Classification
  • Human-centered computing → Visualization design and evaluation methods
  • Human-centered computing → Visualization theory, concepts and paradigms
Keywords
  • human vision
  • information visualization
  • attention
  • eye movements
  • peripheral vision
  • gist
  • ensemble perception
  • search
  • saliency

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Abstract

Recent advances in human vision research have pointed toward a theory that unifies many aspects of vision relevant to information visualization. According to this theory, loss of information in peripheral vision determines performance on many visual tasks. This theory subsumes old concepts such as visual saliency, selective attention, and change blindness. It predicts the rich details we have access to at a glance. Furthermore, it provides insight into tasks not commonly studied in human vision, such as ability to comprehend connections in a network diagram, or to compare information in one part of a display with that in another.

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Ruth Rosenholtz and Dian Yu. Human Vision at a Glance (Invited Talk). In 14th International Conference on Spatial Information Theory (COSIT 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 142, pp. 1:1-1:4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/LIPIcs.COSIT.2019.1

Author Details

Ruth Rosenholtz
  • Massachusetts Institute of Technology, Department of Brain & Cognitive Sciences, CSAIL, USA
Dian Yu
  • Massachusetts Institute of Technology, Department of Brain & Cognitive Sciences, CSAIL, USA

Funding

  • Rosenholtz, Ruth: funded in part by NSF BCS-1826757
  • Yu, Dian: funded in part by NSF/NIH/BMBF IIS-1607486 to R. Rosenholtz

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