Abstract: Procedure invariance is a basic assumption of rational theories of choice, however, it has been shown to be violated: Different response modes, or task frames, sometimes reveal opposite preferences. The current study focused on selection and rejection task frames, involving a unique type of problem with enriched and impoverished options, which has previously led […]

Abstract: Using electroencephalography (EEG) to predict design outcomes could be used in many applications as it facilitates the correlation of engagement and cognitive workload with ideation effectiveness. It also establishes a basis for the connection between EEG measurements and common constructs in engineering design research. In this paper, we propose a support vector machine (SVM)-based […]

Abstract:  For drivers on monotonous routes, cognitive fatigue causes discomfort and poses an important risk for traffic safety. Countermeasures against this type of fatigue are required and thermal stimulation is one intervention method. Surprisingly, there are hardly studies available to measure the effect of cooling while driving. Hence, to better understand the effect of short-term cooling […]

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 […]

Background: Adult gaze plays an important role in early infant development, and infants are highly sensitive to its presence and direction. Little is known, however, about how adults look at infants while interacting with them. Using eye-tracking technology, this study investigated maternal gaze during naturalistic interactions, and how it was influenced by infant age, focusing on […]

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:  The current study examined the impact of agency on college students’ emotions and learning during gameplay with CRYSTAL ISLAND, a game-based learning environment designed to foster microbiology learning. 96 undergraduate students (59% female) from a large North American university participated in the study. Participants were randomly assigned to one of three experimental conditions (i.e., […]

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 […]

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: 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 […]