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Factors Affecting Perception01:25

Factors Affecting Perception

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Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
An illustrative example of a perceptual set is the scenario where an airline pilot told...
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Related Experiment Video

Updated: May 6, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

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Network structure and travel time perception.

Pavithra Parthasarathi1, David Levinson, Hartwig Hochmair

  • 1CDM Smith, New Haven, Connecticut, United States of America.

Plos One
|November 9, 2013
PubMed
Summary
This summary is machine-generated.

Traveler perception of commute time varies systematically with street network structure. This study used travel data to link perceived travel time differences to specific network characteristics, influencing how people experience their commute.

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Area of Science:

  • Urban Planning
  • Transportation Geography
  • Cognitive Psychology

Background:

  • Travel time perception significantly impacts transportation choices and user satisfaction.
  • Understanding factors influencing travel time perception is crucial for effective urban and transportation planning.

Purpose of the Study:

  • To investigate systematic variations in perceived travel time among commuters.
  • To correlate these perceptual variations with the structural characteristics of street networks.

Main Methods:

  • Utilized travel survey data from the Twin Cities metropolitan area.
  • Classified travelers into groups based on perceived vs. estimated commute time ratios.
  • Analyzed street network structure along commute routes using statistical methods (t-tests, regression).

Main Results:

  • Statistically significant differences in network structure measures were found between traveler groups.
  • Regression models confirmed that network characteristics influence travel time perception.

Conclusions:

  • The underlying street network structure demonstrably influences how travelers perceive their commute duration.
  • Findings provide insights for designing urban environments that better align with traveler experiences.