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dc.contributor.authorTrendafilov, Dari
dc.contributor.authorMurray-Smith, Roderick
dc.identifier.citationTrendafilov , D & Murray-Smith , R 2013 , Information-theoretic characterization of uncertainty in manual control . in Procs 2013 IEEE Int Conf on Systems, Man, and Cybernetics, SMC 2013 . , 6722590 , IEEE , pp. 4913-4918 , 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 , Manchester , United Kingdom , 13/10/13 .
dc.identifier.otherPURE: 8699404
dc.identifier.otherPURE UUID: b904f34f-bb84-47e5-af29-6b18ea90fdf3
dc.identifier.otherScopus: 84893577536
dc.description.abstractWe present a novel approach for quantifying the impact of uncertainty in manual control, based on information and control theories and utilizing the information-theoretic capacity of empowerment, a task-independent universal utility measure. Empowerment measures, for agent-environment systems with stochastic transitions, how much influence, which can be sensed by the agent sensors, an agent has on its environment. It enables combining different types of disturbances, arising in human-machine systems (i.e. noise, delays, errors, etc.), into one single measure. We expand empowerment to manual control, demonstrate its application in the field of HCI and evaluate it in a user study. Results showed that empowerment is strictly monotonic in relation to the means of standard performance metrics total time off-target, perceived uncertainty, perceived performance and frustration, which suggests its potential in making theoretical predictions of other measures. Loss of empowerment implicated interesting trends in activity levels, which open a new area for future work. Results suggest the potential empowerment has in providing better theoretical foundations for the science of HCI.en
dc.relation.ispartofProcs 2013 IEEE Int Conf on Systems, Man, and Cybernetics, SMC 2013
dc.subjectHuman factors
dc.subjectHuman-computer interaction
dc.subjectInformation theory
dc.subjectManual control
dc.subjectHuman-Computer Interaction
dc.titleInformation-theoretic characterization of uncertainty in manual controlen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionAdaptive Systems

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