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Examining Course Layouts in Blackboard: Using Eye-Tracking to Evaluate Usability in a Learning Management System
Abstract: This paper describes an exploratory usability study designed to investigate how college students locate information in a Learning Management System and to establish a set of guidelines for creating the best course layouts that can increase the student’s learning experience. Using observations, perception survey data, and a high-fidelity eye-tracker that recorded where participants’ eyes […] -
Eye-Tracking Boston City Hall to Better Understand Human Perception and the Architectural Experience
Abstract: Learning how architecture impacts human perception can help us understand how civic monuments bring us together or drive us apart, create community cohesion and identity or the reverse: anomie, placelessness and the fragmentation of the public realm. Boston City Hall and Plaza, an urban renewal project from the 1960s, intended to revitalize a historic […] -
Classification of Strategies for Solving Programming Problems using AoI Sequence Analysis
Abstract: This eye tracking study examines participants’ visual attention when solving algorithmic problems in the form of programming problems. The stimuli consisted of a problem statement, example output, and a set of multiple-choice questions regarding variables, data types, and operations needed to solve the programming problems. We recorded eye movements of students and performed an […] -
Eye Tracking as a Method of Neuromarketing for Attention Research—An Empirical Analysis Using the Online Appointment Booking Platform from Mercedes-Benz
Abstract: A good user experience can only be achieved by knowing and understanding users’ wishes, needs and cognitive abilities. The aim of this study is to find out how the user of the online appointment booking interacts with the interface as well as the visualizations. The focus is on the question of whether the new […] -
Human-virtual character interaction: Toward understanding the influence of haptic feedback
Abstract: In this study, we compare haptic feedback and nonhaptic feedback conditions in which virtual characters bump into the participant who is immersed in a virtual environment. A questionnaire was developed to determine the influence of haptic feedback on a number of concepts (presence, embodiment, positive and negative affect, interaction realism with virtual character, and […] -
FaceSync: Open ​source ​​framework ​​for ​recording facial ​expressions with ​head-mounted ​cameras
Abstract:Â Advances in computer vision and machine learning algorithms have enabled researchers to extract facial expression data from face video recordings with greater ease and speed than standard manual coding methods, which has led to a dramatic increase in the pace of facial expression research. However, there are many limitations in recording facial expressions in laboratory […] -
Predicting Learners’ Performance Using EEG and Eye Tracking Features
Abstract: In this paper, we aim to predict students’ learning performance by combining two-modality sensing variables, namely eye tracking that monitors learners’ eye movements and electroencephalography (EEG) that measures learners’ cerebral activity. Our long-term goal is to use both data to provide appropriate adaptive assistance for students to enhance their learning experience and optimize their […] -
Mitigating passive fatigue during monotonous drives with thermal stimuli: Insights into the effect of different stimulation durations
Abstract: Driving on monotonous roads has been shown to cause passive fatigue as even non-sleep-deprived drivers suffer from the lack of stimuli. Consequently, alertness is reduced and the risk of accidents increases. To counteract this risk, measures need to be taken to mitigate driver fatigue. While in the past, some studies have been focused on […] -
Basic Emotion Recogniton using Automatic Facial Expression Analysis Software
Abstract: Facial expression was proven to show a person’s emotions, including 6 basic human emotions, namely happy, sad, surprise, disgusted, angry, and fear. Currently, the recognition of basic emotions is applied using the automatic facial expression analysis software. In fact, not all emotions are performed with the same expressions. This study aims to analyze whether […] -
Investigating the Relationship Between Mental State (Workload and Affect) and Physiology in a Control Room Setting (Ship Bridge Simulator)
Abstract: This paper discusses how to investigate the human element in a control room setting in terms of situational settings (monitoring and active control) and mental state (workload and affect). We show an explorative experiment in a ship bridge simulator context to investigate measurement practices and uncover correlations between mental state and changes in physiology. […]
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