Quantitative analyses of behavior involve describing, forecasting and explaining behavior. It is an approach that can generate accurate, precise descriptions of behavioral processes. It makes objective comparison of different explanations possible. Sometimes, models generate surprising predictions and explain things you would not expect from verbal descriptions alone!
We investigate choice and timing, decision making under uncertainty, and factors that affect behavior in dynamic environments.
We investigate choice and timing, decision making under uncertainty, and factors that affect behavior in dynamic environments.
|
RECENT RESEARCHInternet Consequences Questionnaire: A Pilot Study
This brief report introduces the preliminary Internet Consequences Questionnaire (ICQ-P) as a functional assessment that quantifies the self-reported reinforcing value of internet use and parses value derived from conditioned tangible reinforcement, attention, sensory reinforcement, escape from demands, social avoidance, and covert avoidance.
Kyonka, Naidu, Torres, & Garcia 2024
|
|
|
HUMAN TIMING
Human temporal learning with mixed signals
People learned to time 2-s and 4-s intervals in a multiple and mixed peak procedure.
When the same signal was associated with both intervals, some participants covered both bases by responding at both times. Others used an either/or strategy; they only responded at the short OR long interval. These experiments demonstrated that informative signals not only help people learn what to do, but also when to do it. |
|