Automating unobtrusive personalized services in ambient media environments

Serral, Estefanía; Gil, Míriam; Valderas, Pedro; Pelechano, Vicente

doi:10.1007/s11042-013-1634-2

Cited by 4 publications

(3 citation statements)

References 25 publications

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“…1) Possible solutions: In [24] simple message flows in BPMN between IoT tasks and human tasks have been proposed to facilitate co-existent resource communication. A more advanced approach can be found in [25], where the authors propose considerate notifications which interact with users in a way that is not disturbing for the user. They provide a possibility to personalise and adjust the level of obtrusiveness of the notifications.…”

Section: B Communication Challengesmentioning

confidence: 99%

Executing IoT Processes in BPMN 2.0: Current Support and Remaining Challenges

Hasić

Serral

2019

2019 13th International Conference on Research Challenges in Information Science (RCIS)

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The Internet of Things (IoT) has seen a vast surge in recent years, both in academia and in industry. Business processes are starting to take advantage of IoT to interact with the increasingly connected and dynamic physical environment. Recent literature has focused on analysing how this interaction between processes and IoT devices can be modelled, i.e. how the process can be described for discussion purposes. However, little attention is given to configuring the execution of these IoT-based processes. IoT-enhanced processes should indeed be able to incorporate IoT devices in the endeavour of process execution. This paper discusses research challenges in IoT process configuration and execution using the executable Business Process Model and Notation 2.0 (BPMN 2.0) standard. As such, we constitute an agenda for future research.

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Section: B Communication Challengesmentioning

confidence: 99%

Executing IoT Processes in BPMN 2.0: Current Support and Remaining Challenges

Hasić

Serral

2019

2019 13th International Conference on Research Challenges in Information Science (RCIS)

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“…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: Related Workmentioning

confidence: 99%

Kind mobile notifications for healthcare professionals

Serral

Valderas

Derboven

2019

Health Informatics J

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The inclusion of the Internet of Things in healthcare is producing numerous automatic notifications for health professionals. These notifications must be delivered in the right moment and in the right way to be appropriately attended, and at the same time, ensuring no important task is interrupted. In this work, we have applied a human-centred design method to deal with this issue. By collaborating with health professionals in Belgium, we have designed and validated DELICATE, a conceptual framework that categorizes the different attention needs for each notification, and links them with the delivery mechanisms that are more appropriate for each particular context. As an aid for designers, we also define methodological guidelines to clearly determine how DELICATE can be used to develop a notification system. Finally, as a proof-of-concept validation of the framework, we have implemented it in an Android application and tested it using real scenarios. This validation has shown that DELICATE can be used to design a notification system that delivers kind healthcare notifications.

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“…To that extent, it uses the information of the user's profile, device's features and context information. The user's profile is initially created by means of user modeling techniques, using for example the "Personas" models as explained in [46]. Personas provide a framework for describing the target audience in a way useful to design systems and personalize them.…”

Section: Content Adaptationmentioning

confidence: 99%

A personalized system for scalable distribution of multimedia content in multicast wireless networks

Fez

Gil

Fons

et al. 2014

Multimed Tools Appl

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Abstract. This paper presents a novel architecture for scalable multimedia content delivery over wireless networks. The architecture takes into account both the user preferences and context in order to provide personalized contents to each user. In this way, third-party applications filter the most appropriate contents for each client in each situation. One of the key characteristics of the proposal is the scalability, which is provided, apart from the use of filtering techniques, through the transmission in multicast networks. In this sense, content delivery is carried out by means of the FLUTE (File Delivery over Unidirectional Transport) protocol, which provides reliability in unidirectional environments through different mechanisms such as AL-FEC (Application Layer -Forward Error Correction) codes, used in this paper. Another key characteristic is the context-awareness and personalization of content delivery, which is provided by means of context information, user profiles, and adaptation. The system proposed is validated through several empirical studies. Specifically, the paper presents evaluations of two types that collect objective and subjective measures. The first evaluate the efficiency of the transmission protocol, analyzing how the use of appropriate transmission parameters reduces the download time (and thus increasing the Quality of Experience), which can be minimized by using caching techniques. On the other hand, the subjective measures present a study about the user experience after testing the application and analyze the accuracy of the filtering process/strategy. Results show that using AL-FEC mechanisms produces download times until four times lower than when no protection is used. Also, results prove that there is a code rate that minimizes the download time depending on the losses and that, in general, code rates 0.7 and 0.9 provide good download times for a wide range of losses. On the other hand, subjective measures indicate a high user satisfaction (more than 80%) and a relevant degree of accuracy of the content adaption.

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Automating unobtrusive personalized services in ambient media environments

Cited by 4 publications

References 25 publications

Executing IoT Processes in BPMN 2.0: Current Support and Remaining Challenges

Executing IoT Processes in BPMN 2.0: Current Support and Remaining Challenges

Kind mobile notifications for healthcare professionals

A personalized system for scalable distribution of multimedia content in multicast wireless networks

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