scholarly journals CONTEXT-AWARE INTERACTION AND NAVIGATION IN MOBILE GAMES

2006 ◽  
Vol 35 (3) ◽  
Author(s):  
Silke Jahn ◽  
Aizhen Liu ◽  
Mihail Dimitrov ◽  
Michail Mazo ◽  
Friedrich Jürgen ◽  
...  
Keyword(s):  
Human Computer Interaction ◽  
Mobile Phones ◽  
Mobile Applications ◽  
Contextual Information ◽  
Context Aware ◽  
Next Generation ◽  
Mobile Games ◽  
Mobile Game ◽  
Usability Problems ◽  
Computer Interaction

In this paper an approach of using contextual information for structuring and displaying menus on small devices will be discussed, based on the implementation of a game for mobile games. CitizenMOB is a location-based, multiplayer, never-ending society-driven strategic mobile game that has been developed in order to understand today's possibilities and challenges in the design of complex games for mobile phones. Integrating a context-aware navigation and adaptive menu structure is an attempt not only to reflect the effect of new contexts of use on human-computer-interaction, it is also meant to overcome usability problems that occur when limitations of small screens are combined with complex rules and massive options in the next generation of rich mobile applications.

Context-Awareness and Mobile Devices

2008 ◽  
pp. 205-217 ◽  
Author(s):  
Anind K. Dey ◽  
Jonna Häkkilä
Keyword(s):  
Human Computer Interaction ◽  
Mobile Computing ◽  
Ubiquitous Computing ◽  
Mobile Devices ◽  
Context Awareness ◽  
Design Guidelines ◽  
Context Aware ◽  
Definition Of ◽  
Mobile Context ◽  
Computer Interaction

Context-awareness is a maturing area within the field of ubiquitous computing. It is particularly relevant to the growing sub-field of mobile computing as a user’s context changes more rapidly when a user is mobile, and interacts with more devices and people in a greater number of locations. In this chapter, we present a definition of context and context-awareness and describe its importance to human-computer interaction and mobile computing. We describe some of the difficulties in building context-aware applications and the solutions that have arisen to address these. Despite these solutions, users have difficulties in using and adopting mobile context-aware applications. We discuss these difficulties and present a set of eight design guidelines that can aid application designers in producing more usable and useful mobile context-aware applications.

Context-Awareness and Mobile Devices

2009 ◽  
pp. 3222-3235 ◽  
Author(s):  
Anind K. Dey ◽  
Jonna Häkkilä
Keyword(s):  
Human Computer Interaction ◽  
Mobile Computing ◽  
Ubiquitous Computing ◽  
Mobile Devices ◽  
Context Awareness ◽  
Design Guidelines ◽  
Context Aware ◽  
Definition Of ◽  
Mobile Context ◽  
Computer Interaction

Context-awareness is a maturing area within the field of ubiquitous computing. It is particularly relevant to the growing sub-field of mobile computing as a user’s context changes more rapidly when a user is mobile, and interacts with more devices and people in a greater number of locations. In this chapter, we present a definition of context and context-awareness and describe its importance to human-computer interaction and mobile computing. We describe some of the dif- ficulties in building context-aware applications and the solutions that have arisen to address these. Despite these solutions, users have difficulties in using and adopting mobile context-aware applications. We discuss these difficulties and present a set of eight design guidelines that can aid application designers in producing more usable and useful mobile context-aware applications.

Customer Perceptions Toward Mobile Games Delivered via the Wireless Application Protocol

2011 ◽  
pp. 48-65
Author(s):  
Clarry Shchiglik ◽  
Stuart J. Barnes ◽  
Eusebio Scornavacca
Keyword(s):  
Focus Groups ◽  
Mobile Phones ◽  
Consumer Perceptions ◽  
Wireless Application Protocol ◽  
Mobile Games ◽  
Mobile Game ◽  
Customer Perceptions ◽  
Main Driver ◽  
Wireless Application ◽  
Game Industry

The rapid uptake and increased complexity of mobile phones has provided an unprecedented platform for the penetration of mobile services. Among these, mobile entertainment is composed of a variety of services such as ringing tones, games, gambling, and so on. Games are predicted to replace ringing tones as the main driver of mobile entertainment. This chapter contributes to the development of the mobile game industry by understanding corresponding consumer perceptions towards wireless application protocol (WAP) games. A series of focus groups were conducted to gain in-depth qualitative insight of perceptions towards WAP game services. The results indicate a number of clear areas for the delivery of successful WAP game services. WAP games were perceived as lacking complexity, but at the same time, were also seen as possessing several beneficial qualities. The chapter concludes with some recommendations and predictions regarding the future of WAP games.

Human-computer interaction in next generation ambient intelligent environments

2011 ◽  
Vol 5 (1) ◽  
pp. 31-46 ◽  
Author(s):  
T. Heinroth ◽  
A. Kameas ◽  
G. Pruvost ◽  
L. Seremeti ◽  
Y. Bellik ◽  
...  
Keyword(s):  
Human Computer Interaction ◽  
Next Generation ◽  
Intelligent Environments ◽  
Ambient Intelligent ◽  
Computer Interaction

scholarly journals CFDIL: A Context-aware Feature Deep Interaction Learning for  App Recommendation

2021 ◽  
Author(s):  
Qingbo Hao ◽  
Ke Zhu ◽  
Chundong Wang ◽  
Peng Wang ◽  
Xiuliang Mo ◽  
...  
Keyword(s):  
Mobile Applications ◽  
Historical Data ◽  
Contextual Information ◽  
Rapid Development ◽  
User Preferences ◽  
Mobile Internet ◽  
Context Aware ◽  
Interaction Data ◽  
Learning Potential ◽  
The One

Abstract The rapid development of Mobile Internet has spa-wned various mobile applications (apps). A large number of apps make it difficult for users to choose apps conveniently, causing the app overload problem. As the most effective tool to solve the problem of app overload, the app recommendation has attracted extensive attention of researchers. Traditional recommendation methods usually use historical data of apps used by users to explore their preferences, and then make an app recommendation list for users. Although the traditional app recommendation methods have achieved certain results, the performance of app recommendation still needs to be improved due to the following two reasons. On the one hand, it is difficult to construct traditional app recommendation models when facing with the sparse user-app interaction data. On the other hand, contextual information has a large impact on users’ app usage preferences, which is often overlooked by traditional app recommendation methods. To overcome the aforementioned problems, we proposed a Context-aware Feature Deep Interaction Learning (CFDIL) method to explore user preferences, and then perform app recommendation by learning potential user-app relationships in different contexts. The novelty of CFDIL is as follows: (1) CFDIL incorporates contextual features into users' preferences modeling by constructing a novel user and app feature portrait. (2) The problem of data sparsity is effectively solved by the use of dense user and app feature portraits, as well as the tensor operations for label sets. (3) CFDIL trains a new deep network structure, which can make accurate app recommendation using the contextual information and attribute information of users and apps. We applied CFDIL on three real datasets and conducted extensive experiments, which showed that CFDIL outperformed the benchmark method.

scholarly journals Paas EUD Tool for Developing Expert Context-Aware Mobile Applications

2021 ◽  
Vol 10 (2) ◽  
pp. 215-224
Author(s):  
Sahar Elshafei ◽  
◽  
Ehab Hassanein ◽  
Hanan Elazhary ◽  
◽  
...  
Keyword(s):  
Mobile Applications ◽  
Expert Knowledge ◽  
Contextual Information ◽  
Quality Data ◽  
Software Systems ◽  
Context Aware ◽  
Software Developers ◽  
Platform As A Service ◽  
Context Data ◽  
Current Context

Context-awareness enables systems to be tailored to the needs of users and their real circumstances at certain times. A noteworthy trend in software development is that an increasing number of software systems are being developed by individuals with expert knowledge in other sectors. Because most of the current context-aware development toolkits are intended for software developers, these types of systems cannot be easily developed by non-technical consumers. The development of tools for designing context-aware frameworks by consumers who are not programming experts but are specialists in the area of implementation would result in faster adoption of such services by businesses. This paper provides a cloud-based framework for people without programming experience to create context-aware mobile applications. The platform can provide a lightweight distribution of packaged applications that allows experts to send specified information to mobile users based on their context data without overlapping between the rules of the application. An energy-efficient mobile application was developed to acquire contextual information from the user device and to create quality data accordingly. The framework adopts Platform as a Service (PaaS) and containerization to facilitate development of context-aware mobile applications by experts in various domains rather than developing a tool for each domain in isolation, while considering multitenancy.

An Approach to Develop Mobile Proxemic Applications

2021 ◽  
Vol 2 (2) ◽  
pp. 166-169
Author(s):  
Paulo Perez ◽  
Philippe Roose ◽  
Yudith Cardinale ◽  
Mark Dalmau ◽  
Dominique Masson ◽  
...  
Keyword(s):  
Human Computer Interaction ◽  
Mobile Devices ◽  
Mobile Phones ◽  
Wearable Sensors ◽  
Smart Environments ◽  
Design And Implementation ◽  
Huge Variety ◽  
Computer Interaction

Traditional Human-Computer Interaction (HCI) is being overpowered by the widespread diffusion of smart and mobile devices. Currently, smart environments involve daily day activities covered by a huge variety of applications, which demand new HCI approaches. In this context, proxemic interaction, derived from the proxemic theory, becomes an influential approach to implement new kind of Mobile Human-Computer Interaction (MobileHCI) in smart environments. It is based on five proxemic dimensions: Distance, Identity, Location, Movement, and Orientation (DILMO). However, there is a lack of general and flexible tools and utilities focused on supporting the development of mobile proxemic applications. To respond to this need, we have previously proposed a framework for the design and implementation of proxemic applications for smart environments, whose devices interactions are defined in terms of DILMO dimensions. In this work, we extend this framework by integrating a Domain Specif Language (DSL) to support the designing phase. The framework also provides an API, that allows developers to simplify the process of proxemic information sensing (i.e., detection of DILMO dimensions) with mobile phones and wearable sensors. We perform an exhaustive revision of relevant and recent studies and describe in detail all components of our framework.

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