Social Attentive User Interfaces For The Age Of Interruption

Grant number: DE180100315 | Funding period: 2018 - 2021

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Abstract

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’..

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Related publications (10)

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We propose a context-free semantic localisation approach to visualise and analyse indoor movements. We focus on settings where ind..

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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

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We present a conceptual framework grounded in both users’ reviews and HCI theories, residing between practices and theories as a f..

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Cognitive Aid: Task Assistance Based On Mental Workload Estimation

Qiushi Zhou, Joshua Newn, Namrata Srivastava, Tilman Dingier, Jorge Goncalves, Eduardo Velloso

2019-01-01

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Combining implicit gaze and AI for real-time intention projection

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Intention recognition is the process of using behavioural cues to infer an agent's goals or future behaviour. In face-to-face comm..

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Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report

Namrata Srivastava, Eduardo Velloso, Jason M Lodge, Sarah Erfani, James Bailey

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With the increased reach and impact of video lectures, it is crucial to understand how they are experienced. Whereas previous stud..

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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

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Research shows that environmental factors such as ambient noise and cold ambience can render users situationally impaired, adverse..

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SpinalLog: Visuo-Haptic Feedback in Musculoskeletal Manipulation Training

D Antony Chacon, Eduardo Velloso, Katrin Wolf, Thuong Hoang

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Current techniques for teaching spinal mobilisation follow the traditional classroom approach: an instructor demonstrates a techni..

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Combining Low and Mid-Level Gaze Features for Desktop Activity Recognition

Namrata Srivastava, Joshua Newn, E Velloso

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Human activity recognition (HAR) is an important research area due to its potential for building context-aware interactive systems..

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Q Zhou, E Velloso

2017-01-01