Publications by authors named "A KAPPAS"
AI research focused on interactions with humans, particularly in the form of robots or virtual agents, has expanded in the last two decades to include concepts related to affective processes. Affective computing is an emerging field that deals with issues such as how the diagnosis of affective states of users can be used to improve such interactions, also with a view to demonstrate affective behavior towards the user. This type of research often is based on two beliefs: (1) artificial emotional intelligence will improve human computer interaction (or more specifically human robot interaction), and (2) we understand the role of affective behavior in human interaction sufficiently to tell artificial systems what to do.
View Article and Find Full Text PDFWe comment on an article by Sheldon et al. from a previous issue of (May 2021). They argued that the presence of positive emotion (Hypothesis 1), the intensity of positive emotion (Hypothesis 2), and chronic positive mood (Hypothesis 3) are reliably signaled by the Duchenne smile (DS).
View Article and Find Full Text PDFResearch over the past decades has demonstrated the explanatory power of emotions, feelings, motivations, moods, and other affective processes when trying to understand and predict how we think and behave. In this consensus article, we ask: has the increasingly recognized impact of affective phenomena ushered in a new era, the era of affectivism?
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- John Cacioppo, who passed away in 2018, significantly advanced the field of social neuroscience through his methodological and theoretical contributions.
- This paper introduces nine articles that honor his work and highlights four key milestones in his career that shaped social neuroscience: research on physiological measurements, training others in the field, emphasizing sound inference, and defining social neuroscience itself.
- Cacioppo believed that social neuroscience should incorporate various levels of explanation and different types of physiological evidence, suggesting it's more than just brain activity.
Women engage in multiple strategies to cope with the impact of intimate partner violence (IPV). Prior research has focused predominantly on women's service utilization and help seeking as individual acts, yet it is likely that women engage in distinct patterns of multiple help-seeking strategies to achieve safety. As such, the current article examines patterns of service-related help-seeking strategies survivors employ.
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