Social Attentive User Interfaces for the Age of Interruption
Grant number: DE180100315 | Funding period: 2018 - 2021
This proposal aims to enable the development of social attentive user interfaces—those that employ sensors such as eye trackers and thermal cameras to monitor the locus and level of users' attention and adapt their behaviour accordingly. The project lies in the field of Human-Computer Interaction, drawing from machine learning methods to design novel user experiences. Expected outcomes include insights into how people manage their attention, new methods for attention estimation and classification, and novel systems for e-learning and work productivity that demonstrate these new capabilities. As a result, this project will provide the benefit of enabling system to no longer be blind to users’..View full description
Related publications (13)
Exploring the usage of thermal imaging for understanding video lecture designs and students' experiences
N Srivastava, S Nawaz, JM Lodge, E Velloso, S Erfani, J Bailey
Video is becoming a dominant medium for the delivery of educational material. Despite the widespread use of video for learning, th..
Classifying Attention Types with Thermal Imaging and Eye Tracking
Yomna Abdelrahman, Anam Ahmad Khan, Joshua Newn, Eduardo Velloso, Sherine Ashraf Safwat, James Bailey, Andreas Bulling, Frank Vetere, Albrecht Schmidt
Despite the importance of attention in user performance, current methods for attention classification do not allow to discriminate..
A Tale of Two Perspectives: A Conceptual Framework of User Expectations and Experiences of Instructional Fitness Apps
Ahed Aladwan, R Kelly, Steven Baker, Eduardo Velloso
We present a conceptual framework grounded in both users’ reviews and HCI theories, residing between practices and theories as a f..
Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report
Namrata Srivastava, Eduardo Velloso, Jason M Lodge, Sarah Erfani, James Bailey
With the increased reach and impact of video lectures, it is crucial to understand how they are experienced. Whereas previous stud..
Designing Interactions with Intention-Aware Gaze-Enabled Artificial Agents
Joshua Newn, Ronal Singh, Fraser Allison, Prashan Madumal, Eduardo Velloso, Frank Vetere
As it becomes more common for humans to work alongside artificial agents on everyday tasks, it is increasingly important to design..
Measuring the Effects of Stress on Mobile Interaction
Zhanna Sarsenbayeva, Niels van Berkel, Danula Hettiachchi, Weiwei Jiang, Tilman Dingler, Eduardo Velloso, Vassilis Kostakos, Jorge Goncalves
Research shows that environmental factors such as ambient noise and cold ambience can render users situationally impaired, adverse..