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Related Concept Videos

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
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Creating a Bot-tleneck for malicious AI: Psychological methods for bot detection.

Christopher Rodriguez1, Daniel M Oppenheimer2

  • 1Department of Social and Decision Sciences, Carnegie Mellon University, 5000 Forbes Avenue, BP 208, Pittsburgh, PA, 15213, USA. crodrig3@andrew.cmu.edu.

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Summary
This summary is machine-generated.

New automated bot-screening questions, based on psychological research, effectively identify bots missed by CAPTCHAs. These novel methods outperform traditional bot detection, addressing limitations of manual analysis and generative AI.

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Psychology

Background:

  • Traditional bot detection methods like CAPTCHAs are increasingly ineffective against advanced AI.
  • Manual analysis of bot behavior is labor-intensive and inefficient.
  • Generative AI poses a future threat to current bot-screening techniques.

Purpose of the Study:

  • To develop and evaluate automated bot-screening questions grounded in psychological research.
  • To create a proactive screen against sophisticated bots.
  • To assess the efficacy of novel bot-screeners against existing methods.

Main Methods:

  • Developed automated, psychologically-grounded bot-screening questions.
  • Recruited MTurkers for a Qualtrics survey.
  • Compared bot identification rates between novel screeners, manual analysis, and Google's reCAPTCHA V3.

Main Results:

  • Novel bot-screeners identified 18.9% of participants as potential bots, significantly higher than reCAPTCHA V3's 1.7%.
  • The developed automated questions demonstrated superior performance compared to CAPTCHAs.
  • Analysis revealed varying strengths and weaknesses among the novel bot-screener types.

Conclusions:

  • Automated, psychologically-grounded questions offer a more effective approach to bot detection than CAPTCHAs.
  • Current bot-screening methods require significant improvement to counter advanced AI.
  • The developed bot-screeners show promise for proactive and efficient bot mitigation.