Abstract—A model of user behaviour based automated planning is introduced in this work. The behaviour of users of web interactive systems can be described in term of a planning domain encapsulating the timed actions patterns representing the intended user profile. The user behaviour recognition

This paper summarises findings from a survey of user behaviours and intentions towards digital media and information in Australia. It was undertaken in the first quarter of 2009 by the Queensland University of Technology Creative Industries Faculty and was funded by the Smart Services Cooperative

Abstract. Pervasive computing requires infrastructures that adapt to changes in user behaviour while minimising user interactions. Policybased approaches provide adaptability but, at present, require policy rules to be provided by users. This paper presents preliminary work on using Inductive Logic

Abstract–We present empirical analysis of human searches for information from mobile devices, focusing on temporal dynamics, semantics, and topics of queries. Our analysis is based on a large scale data of mobile search logs over a week period from a major US mobile service provider. We find that human searches appear in bursts over time with the distribution of the query inter arrival time following a power law decay up to a day and decays exponentially beyond. Interestingly, this finding conforms to some other measures of human activity reported in previous studies. We also provide preliminary characterisation results of the semantics and topics of queries, some of which conform to that of previous studies. The results would be of general interest for understanding the dynamics of human activity and, in particular, may be leveraged for the design of mobile services. I.

In this position paper we suggest that a user will most often choose the solution (device) that will fulfill her (information) needs with the least effort. We call this “lazy user behavior”. We suggest that the principle components responsible for solution selection are the user need and the user

In this paper we investigate whether the behaviour of non-expert subjects who interact with a fully implemented multimodal application is comparable to the behaviours observed with Wizard-of-Oz systems. To that end we have implemented in the COMIC project an application for bathroom design

Handling information overload online, from the user’s point of view is a big challenge, especially when the number of websites is growing rapidly due to growth in e-commerce and other related activities. Personalization based on user needs is the key to solving the problem of information overload

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in understanding this situation is to explore future user behaviour (and the resulting traffic patterns) when user can choose a mix of broadcast TV and a large number of on-demand channels and services. This paper reports on the first steps to develop an understanding of IPTV user behaviour by investigating

Abstract. The i-Zone initiative proposes a new approach to urban mobility management by using the latest mobile ICT technologies. It is about mobile phones that measure and analyse user behaviour in order to influence travel behaviour. By providing feedback to the traveller (self monitoring