A survey on measuring cognitive workload in human-computer interaction
The ever-increasing number of computing devices around us results in more and more
systems competing for our attention, making cognitive workload a crucial factor for the user …
systems competing for our attention, making cognitive workload a crucial factor for the user …
Social cognition in the age of human–robot interaction
Artificial intelligence advances have led to robots endowed with increasingly sophisticated
social abilities. These machines speak to our innate desire to perceive social cues in the …
social abilities. These machines speak to our innate desire to perceive social cues in the …
Human-computer interaction: An empirical research perspective
IS MacKenzie - 2024 - books.google.com
Human-Computer Interaction: An Empirical Research Perspective is the definitive guide to
empirical research in HCI. The book begins with foundational topics including an historical …
empirical research in HCI. The book begins with foundational topics including an historical …
Hawkes processes for events in social media
This chapter provides an accessible introduction for point processes, and especially Hawkes
processes, for modeling discrete, inter-dependent events over continuous time. We start by …
processes, for modeling discrete, inter-dependent events over continuous time. We start by …
[HTML][HTML] Measuring mental workload variations in office work tasks using fNIRS
The motivation behind using physiological measures to estimate cognitive activity is typically
to build technology that can help people to understand themselves and their work, or indeed …
to build technology that can help people to understand themselves and their work, or indeed …
Classifying driver workload using physiological and driving performance data: two field studies
Understanding the driver's cognitive load is important for evaluating in-vehicle user
interfaces. This paper describes experiments to assess machine learning classification …
interfaces. This paper describes experiments to assess machine learning classification …
A model relating pupil diameter to mental workload and lighting conditions
In this paper, we present a proof-of-concept approach to estimating mental workload by
measuring the user's pupil diameter under various controlled lighting conditions. Knowing …
measuring the user's pupil diameter under various controlled lighting conditions. Knowing …
Deep learning for video classification and captioning
Deep learning for video classification and captioning Page 1 IPART MULTIMEDIA
CONTENT ANALYSIS Page 2 Page 3 1Deep Learning for Video Classification and …
CONTENT ANALYSIS Page 2 Page 3 1Deep Learning for Video Classification and …
Real-time state estimation in a flight simulator using fNIRS
Working memory is a key executive function for flying an aircraft. This function is particularly
critical when pilots have to recall series of air traffic control instructions. However, working …
critical when pilots have to recall series of air traffic control instructions. However, working …
Learn piano with BACh: An adaptive learning interface that adjusts task difficulty based on brain state
We present Brain Automated Chorales (BACh), an adaptive brain-computer system that
dynamically increases the levels of difficulty in a musical learning task based on pianists' …
dynamically increases the levels of difficulty in a musical learning task based on pianists' …