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User Interaction Modelling for Adaptive Human Computer Interaction

Samara, Anas, Galway, Leo, Bond, Raymond and Wang, Hui (2017) User Interaction Modelling for Adaptive Human Computer Interaction. In: British HCI Conference 2017, Doctoral Consortium, Sunderland, United Kingdom. ACM. 4 pp. [Conference contribution]

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URL: http://hci2017.bcs.org/doctoral-consortium/

Abstract

The advancement of technology and computer systems requires continuous enhancement by means of the interaction between users and computers. Subsequently, the availability of unobtrusive visualised input modalities, such as eye trackers and RGB cameras has enabled the viable detection of users’ emotions and cognitive states. However, how to utilise such pervasive input modalities to enable a computer to actively interact with a user based on their current emotional and cognitive states is a challenging problem. This paper presents a research study that is currently taking place at Ulster University, which seeks to investigate creating a user model that facilitates future creation of Adaptive Human Computer Interaction. In other words, this research project focuses on exploiting visual-based input modalities to perceive and infer a user’s emotional and cognitive states in order to predicate adaptation of the graphical user interface or indeed the user interaction.

Item Type:Conference contribution (Paper)
Keywords:User Modelling, Adaptive Human-Computer Interaction, Visual-Based, Input Perception Modality
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:38362
Deposited By: Dr Raymond Bond
Deposited On:14 Jul 2017 11:34
Last Modified:03 Jul 2018 22:23

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