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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, […] -
A Quantitative Way for Measuring the Building User Design Feedback and Evaluation
Computers are not smart enough yet to design and thus alleviate the need for a designer, although they can offer various possibilities of assistant to the designer. Various learning techniques provided in machine learning and artificial intelligence, such as dynamic programming and reinforcement learning, are making computers smarter at so many of the tasks humans […] -
The Forensic Biometric Analysis of Emotions from Facial Expressions and Physiological Processes from the Heart and Skin
Abstract: Decision-making, perception, memory and social interactions are greatly driven by emotion. Emotions can be measured from facial expressions through the facial muscles. A group of four students were exposed to emotionally loaded stimuli (videos and images) in its full complexity to assess the valence of the emotional expression, the associated arousal, skin respiration and […] -
Predicting User Learning Performance From Eye Movements During Interaction With a Serious Game
Abstract: This paper explored the relationship between eye movements’ measures and learners’ performance during interaction with Crystal Island, a narrative-centered learning game environment. We gathered gaze data from 20 participants using Tobii Tx300 eye tracker while they were reading books and answering multiple-choices quizzes. Statistical analysis as well as classifications were performed. Random forest classifier […] -
Unique Object Characteristics Differentially Affect Visual Attention During Viewing of Dynamic Stimuli: The Influence of Location and Luminosity
Abstract: Understanding which characteristics of dynamic stimuli affect visual attention is crucial to usability research. We explored how object location and object luminosity differentially affect visual attention. Thirty-seven American participants viewed 34 Australian commercials, which were broken down by scene (N = 606) to identify all pertinent Areas of Interest (NAOIs = 2,695). Each AOI […] -
Automatic Analysis of Eye-Tracking Data for Augmented Reality Applications: A Prospective Outlook
Abstract: Eye-tracking technology is becoming easier and cheaper to use, resulting in its increasing application to numerous fields of research. Recent years have seen rapid developments in this area. In light of the foregoing, in the context of Cultural Heritage (CH), the definition of a modern approach to understand how individuals perceive art is challenging. […]
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