The Issue of Fragmentation on Mobile Games Platforms

Author(s):  
Tan Keng Tiong ◽  
Ge Tianyi ◽  
Rajkumar Sopra ◽  
Ravi S. Sharma

The rapid growth of mobile device usage in recent years has given rise to the problem of fragmentation in mobile platforms. In this chapter, we address the background of the rise in mobile devices and their platforms. We then look at the issue of fragmentation in mobile platforms and the effects of it on the parties in the mobile services ecosystem. We conclude by discounting the solutions that the industry has implemented to resolve this issue of fragmentation.

2009 ◽  
pp. 1069-1079
Author(s):  
Sylvain Giroux ◽  
Hélène Pigot ◽  
Jean-François Moreau ◽  
Jean-Pierre Savary

The mobile device presented here is designed to offer several services to enhance autonomy, security, and communication for the cognitively impaired people and their caregivers. Two mobile devices are linked through a server; one is dedicated to the patient, the other one to the caregivers. The services fill three functions for patients: a simplified reminder, an assistance request service, and an ecological information gathering service. Three services are available for the caregiver: monitoring patients’ADLs, informing system and colleagues of an intervention, and planning patients’ ADLs.


Author(s):  
Robert Schmohl ◽  
Uwe Baumgarten ◽  
Lars Köthner

Recent advances in mobile computing have spawned a very heterogeneous environment of mobile devices, which is reflected by the presence of the devices’ different capabilities. This chapter focuses on handling this device heterogeneity in the context of content adaptation of mobile services so that generic content can be provided to any device in the heterogeneity spectrum. We present an approach that enables mobile services to adapt its content provision to a mobile device by considering the device’s content provision capabilities. Those capabilities encompass both the communication channels for content delivery and the capabilities to present content to the user. Our approach is designed as a service platform that implements a content adaptation procedure for Web-based mobile services by utilizing device capability databases and generic page transformation. This approach enables mobile devices to visualize any generic content device specifically on their integrated browsers.


2015 ◽  
pp. 1861-1876
Author(s):  
Ricardo Queirós ◽  
Mário Pinto

In recent years, mobile learning has emerged as an educational approach to decrease the limitation of learning location and adapt the teaching-learning process to all type of students. However, the large number and variety of Web-enabled devices poses challenges for Web content creators who want to automatic get the delivery context and adapt the content to mobile devices. This paper studies several approaches to adapt the learning content to mobile phones. It presents an architecture for deliver uniform m-Learning content to students in a higher School. The system development is organized in two phases: firstly enabling the educational content to mobile devices and then adapting it to all the heterogeneous mobile platforms. With this approach, Web authors will not need to create specialized pages for each kind of device, since the content is automatically transformed to adapt to any mobile device capabilities from WAP to XHTML MP-compliant devices.


Author(s):  
Tommi Pelkonen

This chapter analyzes the development trends in a special field within multi-channel e-business, digital games designed for mobile devices. It presents frameworks with which to analyze business models, industry positions, and strategic alliances of mobile device game developers, publishers, and telco operators. The key conclusions of the paper are that: (1) game developers should focus more throughly in the creation of excellent and value-adding game titles for consumers; and (2) mobile operators and mobile game pubishers should work actively to create a feasible business environment for market actors and to encourage consumers to consume mobile games. Furthermore, the chapter suggests that the key location in mobile entertainment is shifting gradually from Northern Europe to Asian markets.


Author(s):  
Tommi Pelkonen

This chapter analyzes the development trends in a special field within multi-channel e-business, digital games designed for mobile devices. It presents frameworks with which to analyze business models, industry positions, and strategic alliances of mobile device game developers, publishers, and telco operators. The key conclusions of the paper are that: (1) game developers should focus more throughly in the creation of excellent and value-adding game titles for consumers; and (2) mobile operators and mobile game pubishers should work actively to create a feasible business environment for market actors and to encourage consumers to consume mobile games. Furthermore, the chapter suggests that the key location in mobile entertainment is shifting gradually from Northern Europe to Asian markets.


Author(s):  
Sylvain Giroux ◽  
Hélène Pigot ◽  
Jean-François Moreau ◽  
Jean-Pierre Savary

The mobile device presented here is designed to offer several services to enhance autonomy, security, and communication for the cognitively impaired people and their caregivers. Two mobile devices are linked through a server; one is dedicated to the patient, the other one to the caregivers. The services fill three functions for patients: a simplified reminder, an assistance request service, and an ecological information gathering service. Three services are available for the caregiver: monitoring patients’ADLs, informing system and colleagues of an intervention, and planning patients’ ADLs.


2014 ◽  
Vol 4 (3) ◽  
pp. 22-38 ◽  
Author(s):  
Ricardo Queirós ◽  
Mário Pinto

In recent years, mobile learning has emerged as an educational approach to decrease the limitation of learning location and adapt the teaching-learning process to all type of students. However, the large number and variety of Web-enabled devices poses challenges for Web content creators who want to automatic get the delivery context and adapt the content to mobile devices. This paper studies several approaches to adapt the learning content to mobile phones. It presents an architecture for deliver uniform m-Learning content to students in a higher School. The system development is organized in two phases: firstly enabling the educational content to mobile devices and then adapting it to all the heterogeneous mobile platforms. With this approach, Web authors will not need to create specialized pages for each kind of device, since the content is automatically transformed to adapt to any mobile device capabilities from WAP to XHTML MP-compliant devices.


Assessment ◽  
2016 ◽  
Vol 24 (7) ◽  
pp. 885-895 ◽  
Author(s):  
Daniel Burke ◽  
Susan Linder ◽  
Joshua Hirsch ◽  
Tanujit Dey ◽  
Daniel Kana ◽  
...  

Information processing is typically evaluated using simple reaction time (SRT) and choice reaction time (CRT) paradigms in which a specific response is initiated following a given stimulus. The measurement of reaction time (RT) has evolved from monitoring the timing of mechanical switches to computerized paradigms. The proliferation of mobile devices with touch screens makes them a natural next technological approach to assess information processing. The aims of this study were to determine the validity and reliability of using of a mobile device (Apple iPad or iTouch) to accurately measure RT. Sixty healthy young adults completed SRT and CRT tasks using a traditional test platform and mobile platforms on two occasions. The SRT was similar across test modality: 300, 287, and 280 milliseconds (ms) for the traditional, iPad, and iTouch, respectively. The CRT was similar within mobile devices, though slightly faster on the traditional: 359, 408, and 384 ms for traditional, iPad, and iTouch, respectively. Intraclass correlation coefficients ranged from 0.79 to 0.85 for SRT and from 0.75 to 0.83 for CRT. The similarity and reliability of SRT across platforms and consistency of SRT and CRT across test conditions indicate that mobile devices provide the next generation of assessment platforms for information processing.


2016 ◽  
Vol 11 (6) ◽  
pp. 32 ◽  
Author(s):  
Shwu-Ing Wu ◽  
Rou Jyun Chen

<p class="ArticleTitle">In recent years, the increasingly innovative and diverse mobile devices have significantly promoted the mobile device-based shopping. What factors influence this kind of shopping? Will consumers purchase things with mobile devices? These are two topics that need to be explored. Through the literature analysis and the empirical research, this study aims to analyze the quality of information, system, service and mobile devices on the mobile device-based shopping platform. Moreover, it studies the attitude of consumers towards mobile device-based shopping, their willingness to adopt the shopping method and the behavioral relationship model in the actual mobile device-based shopping as well as compares the groups of different frequencies of the Internet use in terms of the relationship model.</p>  With the convenient sampling, this study made an investigation among some of those who had experienced shopping on such mobile devices as tablets or smart phones. The 765 retrieved valid copies of questionnaire were divided into three groups—“often”, “average” and “seldom” according to the frequency consumers undertook mobile device-based shopping and were then compared. The results showed that there were significant differences among the three groups in four relationship paths, including: 1) the information quality of the mobile device-based shopping platform has more significant positive influence on consumers’ attitude path of mobile device-based shopping in the “average” group than in the other two; 2) the service quality of the mobile device-based shopping platform has more significant positive influence on consumers’ attitude path of mobile device-based shopping in the “seldom” group than in the other two; 3) the preference for mobile device-based shopping has much significant positive influence on the behavior path of mobile device-based shopping in the “often” group. According to the research results, different groups have different behavior models. These results can serve as reference information in the decision-making of those who establish mobile device-based shopping platforms and manufacture mobile devices.


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