Eye tracking, usability, and user experience: A systematic review
Usability and user experience (UX) are emerging concerns around not only application
development but everything designed to be used by people. Evaluation of the UX is, by …
development but everything designed to be used by people. Evaluation of the UX is, by …
A framework for understanding artificial intelligence research: insights from practice
Purpose The current evolution of artificial intelligence (AI) practices and applications is
creating a disconnection between modern-day information system (IS) research and …
creating a disconnection between modern-day information system (IS) research and …
Advancing our understanding and assessment of cognitive effort in the cognitive fit theory and data visualization context: Eye tracking-based approach
Abstract In Cognitive Fit Theory (CFT) based research, there is a consensus about cognitive
effort as the underlying mechanism impacting performance. Although critical to the theory …
effort as the underlying mechanism impacting performance. Although critical to the theory …
A machine learning investigation of factors that contribute to predicting cognitive performance: Difficulty level, reaction time and eye-movements
Predicting accuracy in cognitively challenging tasks has potential applications in education
and industry. Task demand has been linked with increases in response time and variations …
and industry. Task demand has been linked with increases in response time and variations …
Estimating systemic cognitive states from a mixture of physiological and brain signals
As human–machine teams are being considered for a variety of mixed‐initiative tasks,
detecting and being responsive to human cognitive states, in particular systematic cognitive …
detecting and being responsive to human cognitive states, in particular systematic cognitive …
Inferring native and non-native human reading comprehension and subjective text difficulty from scanpaths in reading
Eye movements in reading are known to reflect cognitive processes involved in reading
comprehension at all linguistic levels, from the sub-lexical to the discourse level. This means …
comprehension at all linguistic levels, from the sub-lexical to the discourse level. This means …
Pupil localisation and eye centre estimation using machine learning and computer vision
Various methods have been used to estimate the pupil location within an image or a real-
time video frame in many fields. However, these methods lack the performance specifically …
time video frame in many fields. However, these methods lack the performance specifically …
Measuring cognitive load in augmented reality with physiological methods: A systematic review
Background Cognitive load during AR use has been measured conventionally by
performance tests and subjective rating. With the growing interest in physiological …
performance tests and subjective rating. With the growing interest in physiological …
[HTML][HTML] All eyes on me: Predicting consumer intentions on social commerce platforms using eye-tracking data and ensemble learning
Understanding what information is important for consumers when making a purchase-
related decision has been a key question for researchers and practitioners ever since the …
related decision has been a key question for researchers and practitioners ever since the …
[HTML][HTML] Effective presentation of ontological overlap of multiple conceptual models
Conceptual models are used to help professionals understand complex information systems
and solve problems during systems analysis and design. Because single model often do not …
and solve problems during systems analysis and design. Because single model often do not …