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Found 9 papers, 1 papers with code
A Graphical Model of Hurricane Evacuation Behaviors
We conducted a study on the evacuation of Hurricane Irma of the 2017 Atlantic hurricane season.
A Unified Dynamic Model for the Decomposition of Skin Conductance and the Inference of Sudomotor Nerve Activities
A key physiological signal in this endeavor is electrodermal activity (EDA), often quantified as skin conductance (SC), known for its sensitivity to a variety of psychological stimuli.
Large language models in textual analysis for gesture selection
However, these approaches face two major challenges: The first is obtaining sufficient training data that is appropriate for the context and the goal of the application.
Investigating Large Language Models' Perception of Emotion Using Appraisal Theory
The results show that LLMs' responses are similar to humans in terms of dynamics of appraisal and coping, but their responses did not differ along key appraisal dimensions as predicted by the theory and data.
What's Next in Affective Modeling? Large Language Models
Large Language Models (LLM) have recently been shown to perform well at various tasks from language understanding, reasoning, storytelling, and information search to theory of mind.
EvolvingBehavior: Towards Co-Creative Evolution of Behavior Trees for Game NPCs
To assist game developers in crafting game NPCs, we present EvolvingBehavior, a novel tool for genetic programming to evolve behavior trees in Unreal Engine 4.
Study of detecting behavioral signatures within DeepFake videos
Our results indicate that there could be a behavioral signature that is detectable from a person's movements that is separate from their visual appearance, and that this behavioral signature could be used to distinguish a deep fake from a properly captured video.
Design-Driven Requirements for Computationally Co-Creative Game AI Design Tools
We evince deep connections between game AI design and the design of co-creative tools, and present implications for future co-creativity tool research and development.
The Distress Analysis Interview Corpus of human and computer interviews
The Distress Analysis Interview Corpus (DAIC) contains clinical interviews designed to support the diagnosis of psychological distress conditions such as anxiety, depression, and post traumatic stress disorder.
