This study explores consumers’ reactions and responses to calorie labelling of restaurant menus. A convenience sample of 36 participants aged 18 and older, who dine out at least monthly, engaged with menus using eye-tracking technology to measure involuntary attention. Participants visited the lab twice: first with a menu without calorie labelling and, at least two […]

This pilot study used heart rate variability (HRV) as an indicator of cognitive load to examine student engagement in the learning process. We investigated the dynamics of students’ (N = 45, paired sample) cognitive load in classes with and without video tutorials and compared differences in cognitive load between development phases of lessons where students are acquiring […]

Understanding human responses to the built environment is vital for effective urban design and sustainable transportation planning. This study presents a methodology that employs eye-tracking technology and facial expression analysis to compare conscious and unconscious reactions to street designs featuring differing levels of Green and Complete Street (GCS) elements. Conducted in Devens, Massachusetts, the research […]

Purpose This paper aims to examine the influence of information load and brand familiarity on consumer preferences, attention and cognitive processes in the context of smartphone product decision-making. Design/methodology/approach Using the theoretical lens of bounded rationality, this paper tests a series of hypotheses on the impact of high and low information load and brand familiarity […]

Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current techniques, such as multisensor data fusion (e.g. electroencephalogram, heart rate, eye movements, and other physiologicalsignals), suffer from excessive dimensionality, intersubject variability, imbalanced feature vectors, and poor data alignment between sensors. This […]

Background Migraine with aura (MwA) is a common neurological disorder often accompanied by visual and cognitive difficulties, including impaired attention and reading. Although previous studies have examined oculomotor function in migraine using specific and highly controlled paradigms, findings have been mixed, and eye movements during more natural tasks like reading remain understudied. The aim of […]

This paper presents a case study usability evaluation of a graphical user interface (GUI) used in the Virtual Terrain Image Generation System (VTIGS) developed by AMST Systemtechnik GmbH. The GUI is used by instructors to configure night vision training scenarios for pilots using Night Vision Goggles (NVG). However, many instructors are non-aviation professionals. This study […]

Gaze attention estimation is the task that aims to understand where each person is looking in each scene. In this study, we introduce a new annotated dataset that is derived from medical simulation training videos, capturing diverse and authentic clinical scenarios from a practical medical environment and annotated by the ground truth data from eye-tracking […]

Background:. Usability plays an important role in user experience and directly influences users’ satisfaction and overall perception of the IT solution. A combination of subjective and objective evaluation methods can increase the overall usability assessment. Methods: This paper presents a comparative analysis of eye-tracking and survey data that provided a comparison of the graphical user […]

Robot-Assisted Language Learning (RALL) has emerged as an innovative method to support children’s language development. However, limited research has examined how its effectiveness is compared to other digital and human-led storytelling approaches, particularly among young learners. This study involved 81 children (M age = 5.58), who were randomly assigned to one of three storyteller conditions: a researcher-developed social […]