Embodied sequential sampling models and dynamic neural fields for decision-making: Why hesitate between two when a continuum is the answer.

As two alternative options in a forced choice task are separated by design, two classes of computational models of decision-making have thrived independently in the literature for nearly five decades. While sequential sampling models (SSM) focus on response times and keypresses in binary decisions in experimental paradigms, dynamic neural fields (DNF) focus on continuous sensorimotor dimensions and tasks found in perception and robotics. Recent attempts have been made to address limitations in their application to other domains, but strong similarities and compatibility between prominent models from both classes were hardly considered.

Conflict in moral and nonmoral decision making: an empirical study coupled with a computational model.

While moral psychology research has extensively studied decision making using moral dilemmas, such high-conflict situations may not fully represent all moral decisions. Moreover, most studies on the effect of conflict have focused on nonmoral decisions, and it is unclear how it applies to the moral realm. The present mixed-method research investigates how conflict impacts moral compared to nonmoral decision making.

When ethics also matter: Influence of taste, health, and ethical attributes on food decisions traced with a novel mouse-tracking paradigm.

Understanding which food attributes influence food decisions is a matter of public health and a lever for interventions promoting healthy diets. Research shows that food decisions are strongly influenced by taste, with health having a weaker and later influence in the food decision process. Yet, the influence of other food attributes and specifically ethical attributes in food decision processes-as traceable in mouse-tracking data-has not been investigated.

The Effects of Intent, Outcome, and Causality on Moral Judgments and Decision Processes.

Over the past decade, moral judgments and their underlying decision processes have more frequently been considered from a dynamic and multi-factorial perspective rather than a binary approach (e.g., dual-system processes).