Javascript must be enabled for the correct page display

Improving human-machine cooperation through eye tracking

Everts, D.J.H. (2007) Improving human-machine cooperation through eye tracking. Master's Thesis / Essay, Artificial Intelligence.

[img]
Preview
Text
AI_Ma_2007_DJHEverts.CV.pdf - Published Version

Download (1MB) | Preview

Abstract

In order to improve human-machine interaction, both human and machine need a model which describes (to a certain degree) the state, workings and intentions of the other. Information has to be exchanged in order to keep their models up to date. When for example a computer is busy calculating a request, an hour glass informs the user that the machine is busy and has not crashed. However, humans are less transparent for the machine, when it presents an operator with urgent information it has limited ways of knowing whether the operator is busy thinking or has gone away to fetch coffee. In this research an eye tracker is used to widen the information channel from human to machine. Through the eye tracker the machine knows what the operator is looking at and consequently it can estimate what the operator is doing and is interested in. A multi-agent system was built that improves human-machine interaction through the use of eye tracking. Agent technologies were used, since the computation and data sources are distributed and because flexibility was needed both in the development and deployment phase.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Artificial Intelligence
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 07:30
Last Modified: 15 Feb 2018 07:30
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/9018

Actions (login required)

View Item View Item