AIMC Topic: Choice Behavior
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Autoshaped choice in artificial neural networks: implications for behavioral economics and neuroeconomics.
Behavioural processes
Feb 4, 2015
An existing neural network model of conditioning was used to simulate autoshaped choice. In this phenomenon, pigeons first receive an autoshaping procedure with two keylight stimuli X and Y separately paired with food in a forward-delay manner, inter...
Women's Preferences and Willingness to Pay for AI Chatbots in Women's Health: Discrete Choice Experiment Study.
Journal of medical Internet research
Jun 10, 2025
BACKGROUND: Over 96% of adult women face health issues, with 70% experiencing conditions like infections. Mobile health education is increasingly popular but faces challenges in personalization and readability. Artificial intelligence (AI) chatbots p...
Robot or human musicians? The modulating role of perceived performer on how music influences food choices.
Applied psychology. Health and well-being
Jun 1, 2025
Previous research has shown that music robots may reshape people's perceptions of music and health-related behaviors. We investigated how the perceived identity of the music performers (humans or robots) influenced people's music-induced mental image...
Application of machine learning algorithms to model predictors of informed contraceptive choice among reproductive age women in six high fertility rate sub Sahara Africa countries.
BMC public health
May 29, 2025
INTRODUCTION: Informed contraceptive choice is declared when a woman selects a methods of contraceptive after receiving comprehensive information on available alternatives, side effects, and management if adverse effect happens. Access to contracepti...
The robotic companion's choice encourages sustainable food choices: The moderating role of anthropomorphism.
Applied psychology. Health and well-being
May 1, 2025
Previous research has shown the impact of the food choices of others on individuals' own food choices. We conducted two studies to investigate how a robot's choice might influence people's choices between meat-heavy and vegetable-forward meals in ima...
Inverting Cognitive Models With Neural Networks to Infer Preferences From Fixations.
Cognitive science
Nov 1, 2024
Inferring an individual's preferences from their observable behavior is a key step in the development of assistive decision-making technology. Although machine learning models such as neural networks could in principle be deployed toward this inferen...
MedDietAgent: An AI-based Mobile App for Harmonizing Individuals' Dietary Choices with the Mediterranean Diet Pattern.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Recently, there has been an increasing interest in applying technological advances to offer specific dietary recommendations in the field of nutrition and health. Dietary recommendation systems are advanced tools designed to assist individuals in mak...
Using large-scale experiments and machine learning to discover theories of human decision-making.
Science (New York, N.Y.)
Jun 11, 2021
Predicting and understanding how people make decisions has been a long-standing goal in many fields, with quantitative models of human decision-making informing research in both the social sciences and engineering. We show how progress toward this go...
Categorization of digitized artworks by media with brain programming.
Applied optics
May 10, 2020
This work describes the use of brain programming applied to the categorization problem of art media. The art categorization problem-from the standpoint of materials and techniques used by artists-presents a challenging task and is considered an open ...
The Effectiveness of the Game of Dice Task in Predicting At-Risk and Problem Gambling Among Adolescents: The Contribution of the Neural Networks.
Journal of gambling studies
Mar 1, 2019
The Game of Dice Task (GDT; Brand et al. in Neuropsychology 19:267-277, 2005a; Psychiatry Res 133:91-99, 2005b) measures decision-making under objective risk conditions. Although disadvantageous decision-making has been shown in individuals with subs...
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