User, Context and Device Modeling for Adaptive User Interface Systems

Castillejo, Eduardo; Almeida, Aitor; López-de-Ipiña, Diego

doi:10.1007/978-3-319-03176-7_13

Cited by 9 publications

(4 citation statements)

References 17 publications

(15 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Casas et al [30] proposed a user-modeling methodology based on personas, i.e., archetypical representations of real individuals that can help designers in being aware of the information that can impact on the design of an AAL or AmI system; this approach has proven to be useful also when it comes to modeling ontologies that take into account inhabitants [31]. To overcome the problem of a static definition of the users, Castillejo, et al [32] introduced the concept of dynamic capabilities, which takes into account a user, his/her specific needs, and the characteristics of the context in which he/she operates. In this regard, the SH needs to encompass also dwellers' data regarding their needs and health conditions, and ontologies can provide the means to formalize this non-static information.…”

Section: Related Workmentioning

confidence: 99%

ComfOnt: A Semantic Framework for Indoor Comfort and Energy Saving In Smart Homes

et al. 2019

View full text Add to dashboard Cite

This work introduces ComfOnt, a semantic framework developed within the context of ambient assisted living, context awareness, and ambient intelligence Italian research projects. ComfOnt leverages knowledge regarding Smart Home inhabitants and their particular needs, the devices deployed inside the domestic environment (appliances, sensors, and actuators), the amount of their energy consumption, and indoor comfort metrics to provide dwellers with customized services. Developed reusing widely adopted ontologies, ComfOnt aims at providing inhabitants with the possibility of having personalized indoor comfort in their living environments and at helping them in scheduling their daily activities requiring appliances; in fact, the proposed semantic framework enables the representation of appliances' energy consumption and the energy profile of the Smart Home, thus assisting the dwellers in avoiding power cuts and fostering energy savings. ComfOnt serves as a knowledge base for a prototypical application (DECAM) dedicated to Smart Home inhabitants; the architecture and the functionalities of DECAM are here presented.Although research in the fields of SH, ambient assisted living (AAL), ambient intelligence (AmI), context awareness (CA), and IoT leveraging semantic formalization of knowledge has acquired a growing importance in the last years, only a few works dedicated to the SH tackled the issue of modeling indoor comfort metrics. This work aims at contributing to the field of domain ontologies dedicated to the representation of knowledge necessary to customize services within an SH, including comfort metrics leveraging on already existing models. The proposed set of domain ontologies arises from the experiences of three Italian research projects funded by the Lombardy Region: i-Zeb, Future Homes for Future Communities (FHfFC), and CasAware. i-Zeb [4] is a project aimed at researching and investigating the use of innovative building materials and technological solutions to foster the implementation of Nearly Zero-Energy Buildings. FHfFC [5] focuses on deploying a semantic architecture to enable a set of assistive services aimed at improving inhabitants' daily lives; the services are addressed to an ageing population and encompass a wide range of fields, such as indoor comfort, device interoperability, and domestic rehabilitation. CasAware [6,7] leverages ontological representation of domestic appliances and their energy consumption to foster energy saving behavior, help the dwellers to better schedule their operations with appliances, and avoid domestic power cuts.The set of domain ontologies developed within these three projects-named ComfOnt-allows the formalization of some fundamental indoor comfort metrics, including Italian regulations and laws, and knowledge regarding sensors, actuators, and measurements; ComfOnt can be adopted to describe environmental conditions within the SH and to trigger comfort actuation after detecting an unsafe or uncomfortable situation, exploiting the results deriving from reasoning proc...

show abstract

Section: Related Workmentioning

confidence: 99%

ComfOnt: A Semantic Framework for Indoor Comfort and Energy Saving In Smart Homes

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Furthermore, a bad conception induces more inconvenience for older drivers, whereas the system's role is to encourage mobility and security of the driver who uses it [6,7]. User tests allow to assess a system and to verify its credibility [8]. A previous study was made with older drivers to assess a new driving system during user tests.…”

Section: Related Workmentioning

confidence: 99%

Designing a Navigation System for Older Adults: A Case Study Under Real Road Condition

Ruer

Brun

Vallerand

et al. 2019

How AI Impacts Urban Living and Public Health

View full text Add to dashboard Cite

Recent research allows envisioning what kind of sensory devices could be used for drivers' navigation in the future, particularly for older adults. Population all around the world is aging, older adults will be more on the road. In this paper, we present a contact-less navigation system dedicated to this category of people based on a mobile head-up display. The aim of this system is to preserve their mobility in order to promote their autonomy and daily social activities. To do so, we interviewed older drivers to design a driving assistance system and we assessed the system under real road conditions (N = 34) with measurement of older drivers' mental workload and the adequacy of users' expectations. We emphasize the need to combine both measures of mental workload. The contribution aims at providing a richer understanding of how older people experience navigation technologies and to discuss the design recommendations of digital devices for older people.

show abstract

“…Currently, a number of environment context-models exist [4,6,15]. For our concrete adaptation purpose, we focus on those models, which focus mainly on the environmental factors in a physical manner.…”

Section: The Environment Context-modelmentioning

confidence: 99%

Visualization Adaptation Based on Environmental Influencing Factors

Burkhardt

Nazemi

Encarnacao

et al. 2014

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Working effectively with computer-based devices is challenging, especially under mobile conditions, due to the various environmental influences. In this paper a visualization adaptation approach is described, to support the user under discriminatory environmental conditions. For this purpose, a context model for environmental influencing factors is being defined. Based on this context model, an approach to adapt visualizations in regards of certain environmental influences is being evolved, such as the light intensity, air quality, or heavy vibrations.

show abstract

User, Context and Device Modeling for Adaptive User Interface Systems

Cited by 9 publications

References 17 publications

ComfOnt: A Semantic Framework for Indoor Comfort and Energy Saving In Smart Homes

ComfOnt: A Semantic Framework for Indoor Comfort and Energy Saving In Smart Homes

Designing a Navigation System for Older Adults: A Case Study Under Real Road Condition

Visualization Adaptation Based on Environmental Influencing Factors

Contact Info

Product

Resources

About