DeepHalo: A Neural Choice Model with Controllable Context Effects
context effectcontext-dependent choice functionsdecision-makingdeephalofeature-based settinghalo effecthigher-order interactionshuman-ai alignmentinteraction structuresinterpretabilityneural modeling frameworkpairwise interactionspredictive performancepreference learningrecommendationuniversal approximator
Modeling human decision-making is central to applications such as recommendation, preference learning, and human-AI alignment. While many classic models assume context-independent choice behavior, a large body of behavioral research shows that preferences are often influenced by the composition of the choice set itself