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Evaluations That Matter: Customer Preferences Using Industry-Based Evaluations and Eye-Gaze Data
Abstract: This study is the first stage of a research program aimed at understanding differences in how people process 2D and 3D automotive stimuli, using psychophysiological tools such as galvanic skin response (GSR), eye tracking, electroencephalography (EEG), and facial expressions coding, along with respondent ratings. The current study uses just one measure, eye tracking, and […] -
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 […] -
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 […] -
Deep Multimodal Fusion for Persuasiveness Prediction
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) […] -
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 […] -
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
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 […] -
Eye Tracking Architecture: A Pilot Study of Buildings in Boston
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 […] -
Advanced Driver Monitoring for Assistance System (ADMAS) based on emotions
Abstract: This work presents advances in research of emotions recognition by using facial expressions to be used in active security system focused in driver monitoring systems to provide efficient assistance through Advanced Driver Assistance Systems to drivers when poor driving performance is detected; researchers have called to this approach Advanced Driver Monitoring for Assistance Systems […] -
Uncertainty in Stated Choice Experiments: Will Eye-Tracking provide useful measures?
Abstract: In this study, we conduct a Stated Choice Experiment (SCE) using eye-tracking technology to investigate if eye movements during the completion of choice sets reveal information about response uncertainty. We hypothesise that the number of times a respondent’s eyes switch focus between the alternatives in a choice set reflects the respondent’s choice uncertainty. Based on […]
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