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Related Concept Videos

Social Scripts02:10

Social Scripts

People tend to know what behavior is expected of them in specific, familiar settings. A script is a person’s knowledge about the sequence of events expected in a specific setting (Schank & Abelson, 1977). Essentially, scripts are a particular kind of schema, one containing default values for the features within an event. In the restaurant example, the script's features include the props (e.g., tables, menu, food, and money), the roles to be played (e.g., customer and waiter), the opening...
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Determination of Expected Frequency

Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
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Schemas

A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.

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Driving Under the Influence: How Music Listening Affects Driving Behaviors
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Expectations while car following--the consequences for driving behaviour in a simulated driving task.

Elke Muhrer1, Mark Vollrath

  • 1Technische Universität Braunschweig, Department of Engineering and Traffic Psychology, Gaussstrasse 23, 38106 Braunschweig, Germany. e.muhrer@tu-bs.de

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|August 24, 2010
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Driver expectations influence reactions to sudden braking, but not car-following distance. Understanding these expectations can improve driver assistance systems to prevent rear-end crashes.

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Area of Science:

  • Traffic safety research
  • Human factors in driving
  • Automotive engineering

Background:

  • Rear-end crashes are common, often occurring in seemingly low-risk situations.
  • Driver inattention or unmet expectations regarding traffic cues contribute to these crashes.
  • Understanding how drivers anticipate and react to lead vehicle behavior is crucial for accident prevention.

Purpose of the Study:

  • To investigate the role of driver expectations in rear-end crash scenarios.
  • To determine if environmental cues influence a driver's anticipation of braking or stopping.
  • To experimentally test the hypothesis that a lack of relevant cues leads to underestimation of risk.

Main Methods:

  • A driving simulator experiment was conducted.
  • Lead vehicle behavior (braking, signaling) was manipulated to create different driver expectations.
  • Driver reactions, including braking time and following distance, were measured and analyzed.

Main Results:

  • Driver expectations partially influenced behavior, with expected actions leading to faster reactions to sudden braking.
  • Drivers reacted more quickly when the lead vehicle signaled before turning.
  • However, drivers did not adjust their following distance or speed based on these expectations during car-following phases.

Conclusions:

  • Driver expectations, shaped by lead vehicle cues, can impact immediate reactions but not necessarily sustained car-following behavior.
  • The findings suggest a need for driver assistance systems to actively manage driver expectations and intervene when anticipation is low.
  • Adaptive systems could enhance safety by warning drivers and intervening in situations where they fail to anticipate necessary actions, thus reducing rear-end collisions.