2013
DOI: 10.1016/j.scico.2013.03.002
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Designing for user attention: A method for supporting unobtrusive routine tasks

Abstract: The automation of user routine tasks is one of the most important challenges in the development of Ambient Intelligence systems. However, this automation may be annoying since some tasks may grab users attention in inappropriate situations. Since user attention is a valuable resource, task automation must behave in a considerate manner demanding user attention only when it is required. To address this issue, this work presents a systematic method for supporting the design and automation of unobtrusive routine … Show more

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Cited by 7 publications
(5 citation statements)
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References 32 publications
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“…Attempts have been made to understand the ways in which health information seekers cope with the unruly structure of the Internet. For example, investigators have examined the general intuitive strategies information seekers use to process complex online information [ 3 - 5 ].…”
Section: Introductionmentioning
confidence: 99%
“…Attempts have been made to understand the ways in which health information seekers cope with the unruly structure of the Internet. For example, investigators have examined the general intuitive strategies information seekers use to process complex online information [ 3 - 5 ].…”
Section: Introductionmentioning
confidence: 99%
“…same time, location, device, and so on). Furthermore, we are investigating how to apply a previous research work focused on considerate computing [56] studied how to achieve a considerate interaction with users (i.e. disturbing them as less as possible) when executing services.…”
Section: Conclusion and Further Workmentioning
confidence: 99%
“…Gil et al 10 and Serral et al 11 extended this framework into the AdaptIO (Adaptive Interaction Obtrusiveness) framework (see Figure 1). AdaptIO was proposed to build ubiquitous and mobile systems capable of adapting its services' interaction obtrusiveness according to the user's situational context.…”
Section: Notification Frameworkmentioning
confidence: 99%