During crises like COVID-19, individuals are inundated with conflicting and time-sensitive information that drives a need for rapid assessment of the trustworthiness reliability sources platforms. This parallels evolutions in infrastructures, ranging from social media to government data Distinct current literature, which presumes static relationship between presence or absence trust people's behaviors, our mixed-methods research focuses on situated trust, is shaped by information-seeking...

In the era of digital communication, misinformation on social media threatens foundational trust in these platforms. While myriad measures have been implemented to counteract misinformation, complex relationship between interventions and multifaceted dynamics distrust remains underexplored. To bridge this gap, we surveyed 1,769 participants U.S. gauge their examine experiences with anti-misinformation features. Our research demonstrates how are not simply two ends a spectrum; but can also...

As the frequency of school shooting incidents grows in United States, understanding student behavior response to shootings is crucial for policy development. A total 545 participants from Prolific.com participated an immersive virtual experience on a computer screen simulation using 3x3 factorial design varying social influence (all run, all hide, or mixed) non-player characters (NPCs) and threat uncertainty (high, medium, low) proximity where begins. Results showed that were more likely...

Abstract We stumble upon new and repeating information daily. As comes from many sources, social media continues to play a predominant role in disseminating information, ultimately impacting individuals’ perceptions behaviors. A prime example of this impact was observed during the COVID-19 pandemic, which use influencing willingness receive vaccine. While studies on relationship between vaccination intent have been widely investigated, less is known about mechanisms that link these two...

Gestures perform a variety of communicative functions that powerfully influence human face-to-face interaction. How this function is achieved varies greatly between individuals and depends on the role speaker context Approaches to automatic gesture generation vary not only in degree which they rely data-driven techniques but also can produce specific gestures. However, these approaches face two major challenges: The first obtaining sufficient training data appropriate for goal application....

Large Language Models (LLM) like ChatGPT have significantly advanced in recent years and are now being used by the general public. As more people interact with these systems, improving our understanding of black box models is crucial, especially regarding their human psychological aspects. In this work, we investigate emotion perception through lens appraisal coping theory using Stress Coping Process Questionaire (SCPQ). SCPQ a validated clinical instrument consisting multiple stories that...

People often encounter highly stressful, emotion-evoking situations. Modeling and predicting people's behavior in such situations, how they cope, is a critical research topic. To that end, we propose computational model of coping casts Lazarus's theory into Partially Observable Markov Decision Process (POMDP) framework. This includes an appraisal process models the factors leading to stress by assessing person's relation environment people seek reduce directly altering or changing one's...

Large Language Models (LLM) have recently been shown to perform well at various tasks from language understanding, reasoning, storytelling, and information search theory of mind. In an extension this work, we explore the ability GPT-4 solve related emotion prediction. performs across multiple tasks; it can distinguish theories come up with emotional stories. We show that by prompting identify key factors experience, is able manipulate intensity its own Furthermore, GPT-4's on reverse...

Older adults are at greater risk of experiencing negative physical and psychological impacts the novel coronavirus 2019 (COVID-19) pandemic. Our ongoing study is assessing COVID-19 information exposure in aged 55 above compared to other age groups living Massachusetts Georgia. This work investigates potential association between wellbeing as well adherence protective measures. initial results show that older received related less frequently than middle-aged group, yet they feel more content...

People experience many stressful, emotion-evoking situations in everyday life. How they cope with these is crucial to their well-being. Research shows that people may change beliefs perceive the a better, less-stressful light. Therefore, understanding how stress and emotion an important research question. Toward end, we model coping, based on Lazarus's appraisal theory of emotion, as two-step decision problem. However, do not hallucinate arbitrary alternative realities order reduce stress....

Large Language Models (LLM) like ChatGPT have significantly advanced in recent years and are now being used by the general public. As more people interact with these systems, improving our understanding of black box models is crucial, especially regarding their human psychological aspects. In this work, we investigate emotion perception through lens appraisal coping theory using Stress Coping Process Questionaire (SCPQ). SCPQ a validated clinical instrument consisting multiple stories that...

Gestures perform a variety of communicative functions that powerfully influence human face-to-face interaction. How this function is achieved varies greatly between individuals and depends on the role speaker context Approaches to automatic gesture generation vary not only in degree which they rely data-driven techniques but also can produce specific gestures. However, these approaches face two major challenges: The first obtaining sufficient training data appropriate for goal application....

Large Language Models (LLM) have recently been shown to perform well at various tasks from language understanding, reasoning, storytelling, and information search theory of mind. In an extension this work, we explore the ability GPT-4 solve related emotion prediction. performs across multiple tasks; it can distinguish theories come up with emotional stories. We show that by prompting identify key factors experience, is able manipulate intensity its own Furthermore, GPT-4's on reverse...

Natural disasters such as hurricanes are increasing and causing widespread devastation. People's decisions actions regarding whether to evacuate or not critical have a large impact on emergency planning response. Our interest lies in computationally modeling complex relationships among various factors influencing evacuation decisions. We conducted study the of Hurricane Irma 2017 Atlantic hurricane season. The was guided by Protection motivation theory (PMT), widely-used framework understand...