This study analyzes the most important influence factors in the literature, which have the greatest influence on the conversions obtained in a mobile application powered by linked data. With the study of user interface design and a small user survey (n&#x2009;&#x3d;&#x2009;101,053), we studied the influence of social networks, advertising, and promotional and recruitment actions in conversions for mobile applications powered by linked data. The analysis of the users&#x2019; behavior and their application in the design of the actions to promote and capture constitutes an important part of the current theories of digital marketing. However, this study shows that its results may be contradictory and depend on other factors and circumstances when mobile applications powered by linked data are considered. The predictive value, reached by the developed model, may be useful for professionals and researchers in the field of digital marketing and the user interface design in mobile applications powered by linked data.

Pedro R. Palos-Sanchez

Jose Ramon Saura

Felipe Debasa

The Influence of Social Networks on the Development of Recruitment Actions that Favor User Interface Design and Conversions in Mobile Applications Powered by Linked Data

Cognitive radio networks (CRNs) are considered an attractive technology to mitigate inefficiency in the usage of licensed spectrum. CRNs allow the secondary users (SUs) to access the unused licensed spectrum and use a blind rendezvous process to establish communication links between SUs. In particular, quorum-based channel-hopping (CH) schemes have been studied recently to provide guaranteed blind rendezvous in decentralized CRNs without using global time synchronization. However, these schemes remain vulnerable to jamming attacks. In this paper, we first analyze the limitations of quorum-based rendezvous schemes called asynchronous channel hopping (ACH). Then, we introduce a novel sequence sensing jamming attack (SSJA) model in which a sophisticated jammer can dramatically reduce the rendezvous success rates of ACH schemes. In addition, we propose a fast and robust asynchronous rendezvous scheme (FRARS) that can significantly enhance robustness under jamming attacks. Our numerical results demonstrate that the performance of the proposed scheme vastly outperforms the ACH scheme when there are security concerns about a sequence sensing jammer.

Yongchul Kim

Young-Hyun Oh

Jungho Kang

Asynchronous Channel-Hopping Scheme under Jamming Attacks

We present MOBISIG, a pseudosignature dataset containing finger-drawn signatures from 83 users captured with a capacitive touchscreen-based mobile device. The database was captured in three sessions resulting in 45 genuine signatures and 20 skilled forgeries for each user. The database was evaluated by two state-of-the-art methods: a function-based system using local features and a feature-based system using global features. Two types of equal error rate computations are performed: one using a global threshold and the other using user-specific thresholds. The lowest equal error rate was 0.01&#x0025; against random forgeries and 5.81&#x0025; against skilled forgeries using user-specific thresholds that were computed a posteriori. However, these equal error rates were significantly raised to 1.68&#x0025; (random forgeries case) and 14.31&#x0025; (skilled forgeries case) using global thresholds. The same evaluation protocol was performed on the DooDB publicly available dataset. Besides verification performance evaluations conducted on the two finger-drawn datasets, we evaluated the quality of the samples and the users of the two datasets using basic quality measures. The results show that finger-drawn signatures can be used by biometric systems with reasonable accuracy.

Margit Antal

L&#xe1;szl&#xf3; Zsolt Szab&#xf3;

T&#xfc;nde Tordai

Online Signature Verification on MOBISIG Finger-Drawn Signature Corpus

Most mobile devices equipped with touchscreens provide on-screen soft keyboard as an input method. However, many users are experiencing discomfort due to lack of physical feedback that causes slow typing speed and error-prone typing, as compared to the physical keyboard. To solve the problem, a platform-independent haptic soft keyboard suitable for tablet-sized touchscreens was proposed and developed. The platform-independent haptic soft keyboard was verified on both Android and Windows. In addition, a psychophysical experiment has been conducted to find an optimal strength of key click feedback on touchscreens, and the perception result was applied for making uniform tactile forces on touchscreens. The developed haptic soft keyboard can be easily integrated with existing tablets by putting the least amount of effort. The evaluation results confirm platform independency, fast tactile key click feedback, and uniform tactile force distribution on touchscreen with using only two piezoelectric actuators. The proposed system was developed on a commercial tablet (Mu Pad) that has dual platforms (Android and Windows).

Kwangtaek Kim

Perception-Based Tactile Soft Keyboard for the Touchscreen of Tablets

Mobile devices are widely spread all over the world, and Android is the most popular operative system in use. According to Kaspersky Lab&#x2019;s threat statistic (June 2017), many users are tempted to root their mobile devices to get an unrestricted access to the file system, to install different versions of the operating system, to improve performance, and so on. The result is that unintended data leakage flaws may exist. In this paper, we (i) analyze the security issues of several applications considered relevant in terms of handling user sensitive information, for example, financial, social, and communication applications, showing that 51.6&#x0025; of the tested applications suffer at least of an issue and (ii) show how an attacker might retrieve a user access token stored inside the device thus exposing users to a possible identity violation. Notice that such a token, and a number of other sensitive information, can be stolen by malicious users through a man-in-the-middle (MITM) attack.

Luca Casati

Andrea Visconti

The Dangers of Rooting: Data Leakage Detection in Android Applications

While seemingly irrational behaviors such as panicking or displaying antisocial behavior are the responses to emergency situations the media and movies lead us to believe, several studies show that people rather react based on decision-making such as acting altruistically and protectively. However, what can we really expect from people in a crowd in terms of participation in an emergency response system? In this paper, we present a mobile application called the RESCUER App, which allows civilians to participate in the emergency response process by providing information about the emergency to a command center and to receive instructions from this command center. We developed a human reaction model for emergencies to better understand the human&#x2013;computer interaction capabilities of people in an emergency situation. Based on this model, we defined three different interaction modes: one-click interaction, guided interaction, and chat interaction. These interaction modes were implemented in an interactive prototype and evaluated in an experiment in which high cognitive load was induced to simulate a stress situation, similar to the stress experienced in an emergency. The experiment results showed that the three predefined interaction modes enabled people to interact with the RESCUER App even though they were in a stress situation.

Claudia Nass

Jessica Jung

Eduard C. Groen

Karina Villela

Konstantin Holl

Interaction Modes for Emergency Mobile Apps

A prototype to improve learning tasks for mentally handicapped people is shown in this research paper using ambient intelligence techniques and based on cyber-physical systems. The whole system is composed of a worktable, a cyber-glove (both with several RFID and NFC detection zones), and an AmI software application for modeling and workflow guidance. A case study was carried out by the authors where sixteen mentally handicapped people and 3 trainers were involved in the experiment. The experiment consisted in the execution of several memorization tasks of movements of objects using the approach presented in this paper. The results obtained were very interesting, indicating that this kind of solutions are feasible and allow the learning of complex tasks to some types of mentally handicapped people. In addition, at the end of the paper are presented some lessons learned after performing the experimentation.

Diego Mart&#xed;n

Borja Bordel

Ram&#xf3;n Alcarria

Yone Castro

Improving Learning Tasks for Mentally Handicapped People Using AmI Environments Based on Cyber-Physical Systems

The indexing and tracking of objects moving in indoor spaces has increasingly become an important area of research, which presents a fundamentally different challenge. There are two main reasons for why indoor should be treated as cellular space. Firstly, an indoor space has entities, such as rooms and walls, that constrain the movement of the moving objects. Secondly, the relevant notion of locations of an object is cell based rather than an exact Euclidean coordinate. As a solution, in our earlier works, we proposed a cell-based indexing structure, called the C-tree, for indexing objects moving in indoor space. In this paper, we extend the C-tree to solve another interesting problem. It can be observed that many indoor spaces (such as shopping centers) contain wings/sections. For such a space, there are queries for which the wing/section location of an object, rather than the cellular location, is the relevant answer (e.g., &#x201C;the object is in the east wing&#x201D;). In this paper, we propose a new index structure, called the GMI-tree (&#x201C;GMI&#x201D; stands for &#x201C;Graph-based Multidimensional Index&#x201D;). The GMI-tree is based on two notions of distance, or equivalently, two notions of adjacency: one represents horizontal adjacency and the other represents vertical adjacency.

Sultan Alamri

David Taniar

Kinh Nguyen

Vertical Indexing for Moving Objects in Multifloor Environments

Knowing the perceived exertion of workers during their physical activities facilitates the decision-making of supervisors regarding the worker allocation in the appropriate job, actions to prevent accidents, and reassignment of tasks, among others. However, although wearable heart rate sensors represent an effective way to capture perceived exertion, ergonomic methods are generic and they do not consider the diffuse nature of the ranges that classify the efforts. Personalized monitoring is needed to enable a real and efficient classification of perceived individual efforts. In this paper, we propose a heart rate-based personalized method to assess perceived exertion; our method uses fuzzy logic as an option to manage imprecision and uncertainty in involved variables. We applied some experiments to cleaning staff and obtained results that highlight the importance of a custom method to classify perceived exertion of people doing physical work.

Pablo Pancardo

J. A. Hern&#xe1;ndez-Nolasco

Francisco Acosta-Escalante

A Fuzzy Logic-Based Personalized Method to Classify Perceived Exertion in Workplaces Using a Wearable Heart Rate Sensor

Frailty and senility are syndromes that affect elderly people. The ageing process involves a decay of cognitive and motor functions which often produce an impact on the quality of life of elderly people. Some studies have linked this deterioration of cognitive and motor function to gait patterns. Thus, gait analysis can be a powerful tool to assess frailty and senility syndromes. In this paper, we propose a vision-based gait analysis approach performed on a smartphone with cloud computing assistance. Gait sequences recorded by a smartphone camera are processed by the smartphone itself to obtain spatiotemporal features. These features are uploaded onto the cloud in order to analyse and compare them to a stored database to render a diagnostic. The feature extraction method presented can work with both frontal and sagittal gait sequences although the sagittal view provides a better classification since an accuracy of 95&#x0025; can be obtained.

Mario Nieto-Hidalgo

Francisco Javier Ferr&#xe1;ndez-Pastor

Rafael J. Valdivieso-Sarabia

Jer&#xf3;nimo Mora-Pascual

Juan Manuel Garc&#xed;a-Chamizo

Gait Analysis Using Computer Vision Based on Cloud Platform and Mobile Device

About this journal

Mobile Information Systems publishes original research articles as well as review articles that report the theory and/or application of new ideas and concepts in the field of mobile information systems.

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Chief Editor&nbsp;Dr Alessandro Bazzi&nbsp;is based at the University of Bologna, Italy. His current research is focused on wireless technologies applied to automated and connected vehicles.

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Mobile Information Systems - Table of contents 2018

title

Mobile Information Systems publishes original research articles as well as review articles that report the theory and/or application of new ideas and concepts in the field of mobile information systems.

Mobile Information Systems