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  1.  15
    Effects of Dynamic Aspects of Facial Expressions: A Review.Eva G. Krumhuber, Arvid Kappas & Antony S. R. Manstead - 2013 - Emotion Review 5 (1):41-46.
    A key feature of facial behavior is its dynamic quality. However, most previous research has been limited to the use of static images of prototypical expressive patterns. This article explores the role of facial dynamics in the perception of emotions, reviewing relevant empirical evidence demonstrating that dynamic information improves coherence in the identification of affect (particularly for degraded and subtle stimuli), leads to higher emotion judgments (i.e., intensity and arousal), and helps to differentiate between genuine and fake expressions. The findings (...)
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  2.  14
    Emotion and Regulation Are One!Arvid Kappas - 2011 - Emotion Review 3 (1):17-25.
    Emotions are foremost self-regulating processes that permit rapid responses and adaptations to situations of personal concern. They have biological bases and are shaped ontogenetically via learning and experience. Many situations and events of personal concern are social in nature. Thus, social exchanges play an important role in learning about rules and norms that shape regulation processes. I argue that (a) emotions often are actively auto-regulating—the behavior implied by the emotional reaction bias to the eliciting event or situation modifies or terminates (...)
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  3.  23
    The Affective Computing Approach to Affect Measurement.Sidney D’Mello, Arvid Kappas & Jonathan Gratch - 2018 - Emotion Review 10 (2):174-183.
    Affective computing adopts a computational approach to study affect. We highlight the AC approach towards automated affect measures that jointly model machine-readable physiological/behavioral signals with affect estimates as reported by humans or experimentally elicited. We describe the conceptual and computational foundations of the approach followed by two case studies: one on discrimination between genuine and faked expressions of pain in the lab, and the second on measuring nonbasic affect in the wild. We discuss applications of the measures, analyze measurement accuracy (...)
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  4.  14
    Appraisals Are Direct, Immediate, Intuitive, and Unwitting… and Some Are Reflective….Arvid Kappas - 2006 - Cognition and Emotion 20 (7):952-975.
  5.  10
    Emotion is Not Just an Alarm Bell—It's the Whole Tootin' Fire Truck.Arvid Kappas - 2011 - Cognition and Emotion 25 (5):785-788.
  6.  6
    Do Relative Positions and Proxemics Affect the Engagement in a Human-Robot Collaborative Scenario?Fotios Papadopoulos, Dennis Küster, Lee J. Corrigan, Arvid Kappas & Ginevra Castellano - 2016 - Latest Issue of Interaction Studies 17 (3):321-347.
    This paper investigates the effects of relative position and proxemics in the engagement process involved in Human-Robot collaboration. We evaluate the differences between two experimental placement conditions for an autonomous robot in a collaborative task with a user across two different types of robot behaviours. The study evaluated placement and behaviour types around a touch table with 80 participants by measuring gaze, smiling behaviour, distance from the task, and finally electrodermal activity. Results suggest an overall user preference and higher engagement (...)
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  7.  2
    Do Relative Positions and Proxemics Affect the Engagement in a Human-Robot Collaborative Scenario?Fotios Papadopoulos, Dennis Küster, Lee J. Corrigan, Arvid Kappas & Ginevra Castellano - 2016 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 17 (3):321-347.
    This paper investigates the effects of relative position and proxemics in the engagement process involved in Human-Robot collaboration. We evaluate the differences between two experimental placement conditions for an autonomous robot in a collaborative task with a user across two different types of robot behaviours. The study evaluated placement and behaviour types around a touch table with 80 participants by measuring gaze, smiling behaviour, distance from the task, and finally electrodermal activity. Results suggest an overall user preference and higher engagement (...)
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  8.  7
    Brief Report Don't Wait for the Monsters to Get You: A Video Game Task to Manipulate Appraisals in Real Time.Arvid Kappas - 1999 - Cognition and Emotion 13 (1):119-124.
  9.  10
    Magda B. Arnold's Contributions to Emotions Research.Stephanie A. Shields & Arvid Kappas - 2006 - Cognition and Emotion 20 (7):898-901.