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Decision Making01:20

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
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Social cognitive perspectives on personality emphasize the importance of conscious awareness, beliefs, expectations, and goals in shaping behavior. These perspectives incorporate behaviorist principles, such as learning through reinforcement and conditioning, but extend beyond them by highlighting human reasoning and planning. Unlike traditional behaviorist views, social cognitive theory focuses on how individuals reflect on their past experiences and plan for future outcomes by considering...
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Psychological factors affecting potential users' intention to use autonomous vehicles.

Tianyang Huang1

  • 1School of Mechanical Engineering, Guangdong Ocean University, Zhanjiang, China.

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User acceptance of autonomous vehicles (AVs) is driven by perceived enjoyment, trust, usefulness, and attitude. Perceived value and ease of use also influence attitudes and usefulness, crucial for AV adoption.

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Area of Science:

  • Human-Computer Interaction
  • Transportation Technology
  • Psychology

Background:

  • Autonomous vehicles (AVs) represent an emerging intelligent transport mode with significant potential.
  • User acceptance is critical for the successful adoption and integration of AVs.
  • Existing technology acceptance models require adaptation to the unique context of AVs.

Purpose of the Study:

  • To investigate the psychological factors influencing user acceptance of autonomous vehicles.
  • To extend the Technology Acceptance Model (TAM) by incorporating perceived trust, value, and enjoyment.
  • To identify key predictors for autonomous vehicle (AV) usage intention.

Main Methods:

  • A quantitative study utilizing questionnaire data from 232 participants.
  • Structural Equation Modeling (SEM) was employed to test the proposed research model.
  • Nine hypotheses regarding the relationships between psychological factors and AV acceptance were examined.

Main Results:

  • Perceived enjoyment, trust, usefulness, and attitude directly and positively impact AV usage intention.
  • Perceived value, usefulness, and ease of use directly and positively influence user attitudes towards AVs.
  • Perceived ease of use was found to directly enhance perceived usefulness.

Conclusions:

  • A validated model for autonomous vehicle acceptance was constructed, offering a framework for future research.
  • The findings expand the theoretical applications of the Technology Acceptance Model in the domain of intelligent transport.
  • Provides actionable insights for AV designers, policymakers, and practitioners to foster user acceptance and adoption.