Future Mobile Computing

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: closed (30 June 2016) | Viewed by 27410

Special Issue Editors


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Guest Editor
Department of Computer Science, University of Salerno, 84084 Fisciano, SA, Italy
Interests: end-user development; mobile computing; data management; visual languages; geographic information systems; image processing and biometrics
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Special Issue Information

Dear Colleagues,

Over the last few years, mobile computing has evolved to radically impact our lives, both as individuals and as parts of communities and organizations. Technology is already mature enough to allow users to modify and exchange volumes of multimedia data through secured connections, as well as to access the Internet, to collaborate and to rely on services without physical constraints, as long as a connection is established. Portability and unlimited access to information, time saving, increased productivity, and enhanced decision-making are some of the beneficial effects of the shift from traditional computing to mobile computing. However, much still needs to be done to inaugurate a new generation of computing, supporting a true cross-border, effortless flow of information sharing, and ability to address critical societal and economic challenges.

This Special Issue is intended to collect research contributions, which may witness the current challenges and future directions of mobile technology. Original papers, especially, are sought, which tackle critical aspects of mobile computing, possibly referring to a concrete domain, such as education, personalized health, and business.

Potential topics include, but are not limited to:

  • Citizen empowerment
  • Collaboration through mobile devices
  • Computational privacy
  • Context-awareness and decision support
  • Digital divide in developing countries
  • e-Inclusion through mobile technology
  • End-user development
  • Energy efficient mobile computing
  • Location-based services
  • Mobile business process management
  • Mobile cloud computing
  • Mobile development tools and testing methodologies
  • Mobile geoprocessing
  • Mobile health
  • Mobile interaction design
  • Mobile learning
  • Mobile user experience

Prof. Dr. Genoveffa Tortora
Prof. Dr. Giuliana Vitiello
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


Keywords

  • cloud computing
  • collaborative interaction
  • data security
  • digital inclusion
  • end-user development
  • human computer interaction
  • mobile computing

Published Papers (4 papers)

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10293 KiB  
Article
Autonomic Semantic-Based Context-Aware Platform for Mobile Applications in Pervasive Environments
by Adel Alti, Abderrahim Lakehal, Sébastien Laborie and Philippe Roose
Future Internet 2016, 8(4), 48; https://doi.org/10.3390/fi8040048 - 29 Sep 2016
Cited by 22 | Viewed by 7310
Abstract
Currently, the field of smart-* (home, city, health, tourism, etc.) is naturally heterogeneous and multimedia oriented. In such a domain, there is an increasing usage of heterogeneous mobile devices, as well as captors transmitting data (IoT). They are highly connected and can be [...] Read more.
Currently, the field of smart-* (home, city, health, tourism, etc.) is naturally heterogeneous and multimedia oriented. In such a domain, there is an increasing usage of heterogeneous mobile devices, as well as captors transmitting data (IoT). They are highly connected and can be used for many different services, such as to monitor, to analyze and to display information to users. In this context, data management and adaptation in real time are becoming a challenging task. More precisely, at one time, it is necessary to handle in a dynamic, intelligent and transparent framework various data provided by multiple devices with several modalities. This paper presents a Kali-Smart platform, which is an autonomic semantic-based context-aware platform. It is based on semantic web technologies and a middleware providing autonomy and reasoning facilities. Moreover, Kali-Smart is generic and, as a consequence, offers to users a flexible infrastructure where they can easily control various interaction modalities of their own situations. An experimental study has been made to evaluate the performance and feasibility of the proposed platform. Full article
(This article belongs to the Special Issue Future Mobile Computing)
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6084 KiB  
Article
Supporting Elderly People by Ad Hoc Generated Mobile Applications Based on Vocal Interaction
by Rita Francese and Michele Risi
Future Internet 2016, 8(3), 42; https://doi.org/10.3390/fi8030042 - 25 Aug 2016
Cited by 2 | Viewed by 6260
Abstract
Mobile devices can be exploited for enabling people to interact with Internet of Things (IoT) services. The MicroApp Generator [1] is a service-composition tool for supporting the generation of mobile applications directly on the mobile device. The user interacts with the [...] Read more.
Mobile devices can be exploited for enabling people to interact with Internet of Things (IoT) services. The MicroApp Generator [1] is a service-composition tool for supporting the generation of mobile applications directly on the mobile device. The user interacts with the generated app by using the traditional touch-based interaction. This kind of interaction often is not suitable for elderly and special needs people that cannot see or touch the screen. In this paper, we extend the MicroApp Generator with an interaction approach enabling a user to interact with the generated app only by using his voice, which can be very useful to let special needs people live at home. To this aim, once the mobile app has been generated and executed, the system analyses and describes the user interface, listens to the user speech and performs the associated actions. A preliminary analysis has been conducted to assess the user experience of the proposed approach by a sample composed of elderly users by using a questionnaire as a research instrument. Full article
(This article belongs to the Special Issue Future Mobile Computing)
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1327 KiB  
Article
Coproduction as an Approach to Technology-Mediated Citizen Participation in Emergency Management
by Paloma Díaz, John M. Carroll and Ignacio Aedo
Future Internet 2016, 8(3), 41; https://doi.org/10.3390/fi8030041 - 10 Aug 2016
Cited by 39 | Viewed by 8106
Abstract
Social and mobile computing open up new possibilities for integrating citizens’ information, knowledge, and social capital in emergency management (EM). This participation can improve the capacity of local agencies to respond to unexpected events by involving citizens not only as first line informants, [...] Read more.
Social and mobile computing open up new possibilities for integrating citizens’ information, knowledge, and social capital in emergency management (EM). This participation can improve the capacity of local agencies to respond to unexpected events by involving citizens not only as first line informants, but also as first responders. This participation could contribute to build resilient communities aware of the risks they are threatened by and able to mobilize their social capital to cope with them and, in turn, decrease the impact of threats and hazards. However for this participation to be possible organizations in charge of EM need to realize that involving citizens does not interfere with their protocols and that citizens are a valuable asset that can contribute to the EM process with specific skills and capabilities. In this paper we discuss the design challenges of using social and mobile computing to move to a more participatory EM process that starts by empowering both citizens and organizations in a coproduction service envisioned as a partnership effort. As an example, we describe a case study of a participatory design approach that involved professional EM workers and decision makers in an effort to understand the challenges of using technology-based solutions to integrate citizen skills and capabilities in their operation protocols. The case study made it possible to identify specific roles that citizens might play in a crisis or disaster and to envision scenarios were technologies could be used to integrate their skills into the EM process. In this way the paper contributes to the roles and the scenarios of theory-building about coproduction in EM services. Full article
(This article belongs to the Special Issue Future Mobile Computing)
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1860 KiB  
Article
Enhanced Local Fisher Discriminant Analysis for Indoor Positioning in Wireless Local Area Network
by Zhi-An Deng, Di Wu, Yiran Zhou and Zhenyu Na
Future Internet 2016, 8(2), 8; https://doi.org/10.3390/fi8020008 - 25 Mar 2016
Cited by 2 | Viewed by 5054
Abstract
Feature extraction methods have been used to extract location features for indoor positioning in wireless local area networks. However, existing methods, such as linear discriminant analysis and principal component analysis, all suffer from the multimodal property of signal distribution. This paper proposes a [...] Read more.
Feature extraction methods have been used to extract location features for indoor positioning in wireless local area networks. However, existing methods, such as linear discriminant analysis and principal component analysis, all suffer from the multimodal property of signal distribution. This paper proposes a novel method, based on enhanced local fisher discriminant analysis (LFDA). First, LFDA is proposed to extract discriminative location features. It maximizes between-class separability while preserving within-class local structure of signal space, thereby guaranteeing maximal discriminative information involved in positioning. Then, the generalization ability of LFDA is further enhanced using signal perturbation, which generates more number of representative training samples. Experimental results in realistic indoor environment show that, compared with previous feature extraction methods, the proposed method reduces the mean and standard deviation of positing error by 23.9% and 33.0%, respectively. Full article
(This article belongs to the Special Issue Future Mobile Computing)
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