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Updated: Dec 18, 2025

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
Published on: August 2, 2018
A dynamic model of deciding not to choose
Angus Reynolds1, Roderick Garton1, Peter Kvam1
1Department of Psychology.
A new theory quantifies "do not know" decisions, crucial for memory and testing. The multiple threshold race (MTR) model accurately predicts response times and frequencies for both choosing and not choosing.
Area of Science:
- Cognitive psychology
- Decision-making theory
- Psychophysics
Background:
Purpose of the Study:
- Develop a quantitative theory for "do not know" judgments.
- Account for response times and frequencies of definitive vs. "do not know" responses.
- Investigate factors influencing "do not know" decisions, such as stimulus similarity and response incentives.
Main Methods:
- Proposed the multiple threshold race (MTR) model.
- Conducted recognition memory experiments with varying face similarity (morphing).
- Manipulated error penalties and response criteria (speed vs. accuracy).
Main Results:
- The MTR model successfully predicted response patterns across experiments.
- Increased stimulus similarity led to more "do not know" responses.
- Individual differences in "do not know" usage were observed and modeled.
Conclusions:
- The MTR model provides a robust framework for understanding "do not know" decisions.
- Parameter estimates offer insights into the psychological mechanisms underlying response selection.
- The theory has implications for educational testing and eyewitness testimony research.
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