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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 […] -
Choice certainty in Discrete Choice Experiments: Will eye tracking provide useful measures?
Abstract: In this study, we conduct a Discrete Choice Experiment (DCE) using eye tracking technology to investigate if eye movements during the completion of choice sets reveal in-formation about respondents’ choice certainty. We hypothesise that the number of times that respondents shift their visual attention between the alternatives in a choice set reflects their stated […] -
Uncertainty in Stated Choice Experiments: Will Eye-Tracking provide useful measures?
Abstract:Â 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 […] -
Context shapes social judgments of positive emotion suppression and expression
Abstract: It is generally considered socially undesirable to suppress the expression of positive emotion. However, previous research has not considered the role that social context plays in governing appropriate emotion regulation. We investigated a context in which it may be more appropriate to suppress than express positive emotion, hypothesizing that positive emotion expressions would be […] -
Correlation between subjective driver state measures and psychophysiological and vehicular data in simulated driving
Abstract: Advanced driver assistance systems require better knowledge of the driver’s state. This would allow for adapting driving support functions, e.g. adaptive automation. To detect the emotional and cognitive state of the driver, it is necessary to know which signals contain accurate information about the state. In this paper the results of a driving simulator […] -
Design of Public Sector Websites: Findings from an Eye Tracking Study Emphasizing Visual Attention and Usability Metrics
Abstract: This explorative eye tracking study investigates visual attention and perceptions of usability within eGovernment environments. We argue that such insights help in understanding users for better design of user Web experiences. In an initial test to identify areas of interest (AOI) on public sector websites, subjects (n = 8) were exposed to the start […] -
The Effects of Self-Control on Subsequent Purchasing Decisions
The effect of self-control on individual behavior has long been a subject of debate. The psychology literature has advanced three theories to explain self-control. However, those theories carry contradictory predictions as they were restricted to linear relationships between an initial act of self-control and subsequent self-control ability. This study uses biometric measures collected in a […] -
The Impact of Reviews and Average Rating on Hotel-Booking-Intention: A Qualitative Study
Abstract: User-generated information types (ratings and reviews) are highly used when booking hotel rooms on Online Travel Agency (OTA) websites. The impact of user-generated information on decision-making is often investigated through quantitative research, thereby not examining in depth how and why travelers use this information. This paper therefore presents a qualitative study conducted to achieve […] -
Detecting Student Emotions in Computer-Enabled Classrooms
Abstract: Affect detection is a key component of intelligent educational interfaces that can respond to the affective states of students. We use computer vision, learning analytics, and machine learning to detect students’ affect in the real-world environment of a school computer lab that contained as many as thirty students at a time. Students moved around, […]
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