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 […]

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 […]

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.

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 […]

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 […]

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) […]

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 […]

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: 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 […]

Abstract: In a collaboration between architecture, interior design, and cognitive science, we conducted an eye tracking study at the Institute for Human Centered Design, a non-profit in Boston. Our thirtythree volunteer viewers, ages 18 to 80 and from various occupations, looked at 60 images on a computer screen for 15 seconds each. Half of the […]