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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Pascoal, R., de Almeida, A. & Sofia, R. C. (2020). Mobile pervasive augmented reality systems - MPARS: the role of user preferences in perceived quality of experience in outdoor applications. ACM Transactions on Internet Technology. 20 (1), 1-17
Exportar Referência (IEEE) 
R. M. Pascoal et al.,  "Mobile pervasive augmented reality systems - MPARS: the role of user preferences in perceived quality of experience in outdoor applications", in ACM Transactions on Internet Technology, vol. 20, no. 1, pp. 1-17, 2020
Exportar BibTeX 
@article{pascoal2020_1714841998503,
	author = "Pascoal, R. and de Almeida, A. and Sofia, R. C.",
	title = "Mobile pervasive augmented reality systems - MPARS: the role of user preferences in perceived quality of experience in outdoor applications",
	journal = "ACM Transactions on Internet Technology",
	year = "2020",
	volume = "20",
	number = "1",
	doi = "10.1145/3375458",
	pages = "1-17",
	url = "https://dl.acm.org/doi/abs/10.1145/3375458"
}
Exportar RIS 
TY  - JOUR
TI  - Mobile pervasive augmented reality systems - MPARS: the role of user preferences in perceived quality of experience in outdoor applications
T2  - ACM Transactions on Internet Technology
VL  - 20
IS  - 1
AU  - Pascoal, R.
AU  - de Almeida, A.
AU  - Sofia, R. C.
PY  - 2020
SP  - 1-17
SN  - 1533-5399
DO  - 10.1145/3375458
UR  - https://dl.acm.org/doi/abs/10.1145/3375458
AB  - After briefly introducing aspects concerning Mobile Augmented Reality Systems, this article delves into the evolution of these systems as pervasive technology. The work debates also on acceptance of this technology in the context of outdoor applications. The need to develop context-aware, close-to-real-time feedback mechanisms that take into consideration a continuous measurement of Quality of Experience is also discussed. For this purpose, the work goes over how to integrate user preferences into context-aware feedback systems, proposing a theoretical model for measuring Quality of Experience. The model is derived from an analysis of previous technology adoption models and incorporates the knowledge of user preferences. This knowledge has been gathered via a public questionnaire.
ER  -