Extending In-Home User and Context Models to Provide Ubiquitous Adaptive Support Outside the Home

Aizpurua, Amaia; Cearreta, Idoia; Gamecho, Borja; Miñón, Raúl; Garay-Vitoria, Nestor; Gardeazabal, Luis; Abascal, Julio

doi:10.1007/978-1-4471-4778-7_2

Cited by 6 publications

(4 citation statements)

References 38 publications

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“…User modeling should contain information about preferences, interests and cognitive characteristics (Aizpurua et al, 2013), and helps a socially intelligent system to adapt to the users' behaviors by constantly monitoring it and by continuously collecting their direct and indirect feedback (De Carolis et al, 2013).…”

Section: User Modelingmentioning

confidence: 99%

Living with robots : investigating the user acceptance of social robots in domestic environments

Graaf¹

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Section: User Modelingmentioning

confidence: 99%

Living with robots : investigating the user acceptance of social robots in domestic environments

Graaf¹

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“…They state that the deployment must be achieved bearing in mind the requirements of the system components, as well as the characteristics of the computing resources available. In [8] the authors provide a good overview of the specific problematic of supporting mobility in AmI, while [9] provides a more insightful view of the problems associated with the migration of user interfaces in AmI environments. The two main problems identified are: detecting and integrating the different devices available in each environment; and the need to provide users with an adequate UI able to use the available devices.…”

Section: Related Workmentioning

confidence: 99%

Autonomous adaptation of user interfaces to support mobility in ambient intelligence systems

Varela

2013

Proceedings of the 5th ACM SIGCHI Symposium on Engineering Interactive Computing Systems

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The work presented in this paper is focused on building Ambient Intelligence (AmI) applications capable of moving from one environment to another, while their user interface keeps adapting itself, autonomously, to the variable environment conditions and the available interaction resources.AmI applications are expected to interact with users naturally and transparently, therefore, most of their interaction relies on embedded devices that obtain information from the user and environment. This work implements a framework for AmI systems that elevates those embedded devices to the class of interaction resources. It does so by providing a new level of abstraction that decouples applications, conceptually and physically, from the different specific interaction resources available and their underlying heterogeneous technologies.In order to drive the adaptation process to environment changes, the system makes use of a set of models that describe the user, environment conditions and devices, and algorithms for context-aware selection of the interaction devices.

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“…(Accessible Technologies Observatory, n.d.). More recently, advances in mobile technology and wireless data networks have allowed the development of the ubiquitous computing concept, which can be applied to support people to carry out daily life activities (Aizpurua et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Accessible Ubiquitous Services for Supporting Daily Activities: A Case Study with Young Adults with Intellectual Disabilities

Aizpurua

Miñón

Gamecho³

et al. 2018

International Journal of Human–Computer Interaction

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Ubiquitous environments have considerable potential to provide services supporting daily activities (using public transportation to and from workplace, using ATM machines, selecting and purchasing goods in ticketing or vending machines, etc.) in order to assist people with disabilities. Nevertheless, the ubiquitous service providers generally supply generic user interfaces which are not usually accessible for all potential end users. In this article, a case study to verify the adequacy of the user interfaces automatically generated by the Egoki system for two supporting ubiquitous services adapted to young adults with moderate intellectual disabilities was presented. The task completion times and the level of assistance required by participants when using the interfaces were analyzed. Participants were able to access services through a tablet and successfully complete the tasks, regardless of their level of expertise and familiarity with the service. Moreover, results indicate that their performance and confidence improved with practice, as they required fewer direct verbal and pointer cues to accomplish tasks. By applying observational methods during the experimental sessions, several potential improvements for the automated interface generation process were also detected.

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Extending In-Home User and Context Models to Provide Ubiquitous Adaptive Support Outside the Home

Cited by 6 publications

References 38 publications

Living with robots : investigating the user acceptance of social robots in domestic environments

Living with robots : investigating the user acceptance of social robots in domestic environments

Autonomous adaptation of user interfaces to support mobility in ambient intelligence systems

Accessible Ubiquitous Services for Supporting Daily Activities: A Case Study with Young Adults with Intellectual Disabilities

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