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  • Positive Affect Is Associated With Reduced Fixation in a Realistic Medical Simulation

    GatedPeer-Reviewed01/02/2017Macquarie University + 3

    Objective: This study extends previous research by exploring the association between mood states (i.e., positive and negative affect) and fixation in practicing anesthetists using a realistic medical simulation. Background: The impact of practitioner emotional states on fixation is a neglected area of research. Emerging evidence is demonstrating the role of positive affect in facilitating problem solving and […]

  • Real-Time Sensing of Trust in Human-Machine Interaction

    Open AccessPeer-Reviewed19/01/2017Purdue University

    Abstract: Human trust in automation plays an important role in successful interactions between humans and machines. To design intelligent machines that can respond to changes in human trust, real-time sensing of trust level is needed. In this paper, we describe an empirical trust sensor model that maps psychophysiological measurements to human trust level. The use of […]

  • What makes a smiling face look happy? Visual saliency, distinctiveness, and affect


    Abstract: We investigated the relative contribution of (a) perceptual (eyes and mouth visual saliency), (b) conceptual or categorical (eye expression distinctiveness), and (c) affective (rated valence and arousal) factors, and (d) specific morphological facial features (Action Units; AUs), to the recognition of facial happiness. The face stimuli conveyed truly happy expressions with a smiling mouth […]

  • HuSIS: A Dedicated Space for Studying Human Interactions


    Abstract: The Human-Surrogate Interaction Space (HuSIS) consists of a dedicated physical space, structures, and components designed specifically for carrying out controlled studies related to human-surrogate interactions. This article discusses the primary factors considered in the HuSIS design and the benefits of the common data-collection and analysis framework for HuSIS research.

  • Automatic expression recognition and expertise prediction in Bharatnatyam


    Abstract: Bharatnatyam is an ancient Indian Classical Dance form consisting of complex postures and expressions. One of the main challenges in this dance form is to perform expression recognition and use the resulting data to predict the expertise of a test dancer. In this paper, expression recognition is carried out for the 6 basic expressions […]

  • Alexithymia, but Not Autism Spectrum Disorder, May Be Related to the Production of Emotional Facial Expressions


    Abstract: Background: A prominent diagnostic criterion of autism spectrum disorder (ASD) relates to the abnormal or diminished use of facial expressions. Yet little is known about the mechanisms that contribute to this feature of ASD. Methods: We showed children with and without ASD emotionally charged video clips in order to parse out individual differences in spontaneous production […]

  • Deep Multimodal Fusion for Persuasiveness Prediction

    Open AccessPeer-Reviewed01/11/2016University of Central Florida + 2

    Abstract: Persuasiveness is a high-level personality trait that quantifies the influence a speaker has on the beliefs, attitudes, intentions , motivations, and behavior of the audience. With social multimedia becoming an important channel in propagating ideas and opinions, analyzing persuasiveness is very important. In this work, we use the publicly available Persuasive Opinion Multimedia (POM) […]

  • Asynchronous Video Interviews vs. Face-To-Face Interviews for Communication Skill Measurement: A Systematic Study


    Abstract: Communication skill is an important social variable in employment interviews. As recent trends point to, increasingly asynchronous or interface-based video interviews are becoming popular. Also getting increasing interest is automatic hiring analysis, of which automatic communication skill prediction is one such task. In this context, a research gap that exists and which our paper […]

  • Automatic assessment of communication skill in interface-based employment interviews using audio-visual cues


    Abstract: Being an effective communicator plays a major role in employment interviews. In this paper, we provide a computational framework to automatically predict the communication skill of a person in an interface-based interview setting. The advantage of interface-based interview setting compared to that of a face-to-face setting is, the participants get assessed without any human […]

  • Objective, computerized video-based rating of blepharospasm severity

    GatedPeer-Reviewed21/10/2016Salk Institute for Biological Studies; Institute for Neural Computation

    Objective: To compare clinical rating scales of blepharospasm severity with involuntary eye closures measured automatically from patient videos with contemporary facial expression software. Methods: We evaluated video recordings of a standardized clinical examination from 50 patients with blepharospasm in the Dystonia Coalition’s Natural History and Biorepository study. Eye closures were measured on a frame-by-frame basis […]

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