Automatic prediction of frustration
International Journal of Human-Computer Studies
What is user engagement? A conceptual framework for defining user engagement with technology
Journal of the American Society for Information Science and Technology
Recognizing Affective Dimensions from Body Posture
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Development and testing of a device for human kinematics measurement
WSEAS TRANSACTIONS on SYSTEMS
The measurability and predictability of user experience
Proceedings of the 3rd ACM SIGCHI symposium on Engineering interactive computing systems
Automatic Recognition of Non-Acted Affective Postures
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Proceedings of the 31st European Conference on Cognitive Ergonomics
Engagement: the inputs and the outputs: conference overview
Proceedings of the 2013 Inputs-Outputs Conference: An Interdisciplinary Conference on Engagement in HCI and Performance
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Objective metrics of engagement are valuable for estimating user experience or progression through interactional narratives. Postural micromovements of seated individuals during computer engagement have been previously measured with magnetic field sensors and chair-mounted force matrix detection mats. Here we compare readings from a head-mounted accelerometer, single camera sagittal motion tracking, and force distribution changes using floor-mounted force plates against a Vicon 8-camera motion capture system. Measurements were recorded on five participants who were watching or interacting with a computer monitor. Our results show that sagittal and coronal plane measurements for Vicon, the accelerometer and the single camera produced nearly identical data, were precisely synchronized in time, and in many cases proportional in amplitude. None of the systems tested were able to match the Vicon's measurement of yaw.