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Intelligent Inclusive Human Machine Interaction

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If you have a question about this talk, please contact Mari Huhtala.

How can we design inclusive intelligent interface or interaction? Say for example you have decided to launch a new tablet which will be easier to use than existing devices by people with disabilities and elderly users and thus will conquer a wider market segment than competitors. One possibility is to enlighten the development team about the problems faced by people with different range of abilities with existing devices and ask them to develop a solution which does not have such problems. Another possibility will be to take an existing tablet, load it with a few profiles tuned for different range of abilities – like profile for low vision, colour blindness, Parkinson’s Disease and so on and ask end users to activate an appropriate profile after buying the tablet. The third possibility is more ambitious – we can have an online intelligent agent observing human machine interaction as part of the operating system of the tablet and adapting user interfaces as users kept on using their devices. I invented the Inclusive User Model that supports all these possibilities. It has a simulator which can help designers to visualize, understand and measure effect of physical impairment on designs. I published a few of these models as web service which can be used to create an online user profile that can adapt user interface irrespective of device and application. A part of the user profile is standardized by publishing through an ITU -T report. I have also investigated eye gaze, hand and finger movements of users and developed a few models using neural network, polynomial regression and Bayesian logic that can predict users’ pointing target in a graphical user interface and can significantly reduce pointing and selection times. This talk will present a few applications and demonstrations of the Inclusive User Model and multimodal eye gaze tracking technology.

This talk is part of the Methodology in design research series.

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