scholarly journals Generating User Interfaces from CDISC ODM for Mobile Devices

2006 ◽  
Author(s):  
Guido M. de Melo ◽  
Jurgen Nagler-Ihlein ◽  
Michael Weber
Keyword(s):  
Mobile Devices ◽  
User Interfaces ◽  
Cdisc Odm

scholarly journals Intelligent User Interfaces for Mobile Computing

2009 ◽  
pp. 2614-2626
Author(s):  
Michael J. O’Grady ◽  
Gregory M.P. O’Hare
Keyword(s):  
Mobile Computing ◽  
Mobile Devices ◽  
User Interfaces ◽  
Intelligence Quotient ◽  
Intelligent Agent ◽  
Mobile Services ◽  
Practical Issue ◽  
Intelligent User Interfaces ◽  
Software Engineers ◽  
New Generation

In this chapter, the practical issue of realizing a necessary intelligence quotient for conceiving intelligent user interfaces (IUIs) on mobile devices is considered. Mobile computing scenarios differ radically from the normal fixed workstation environment that most people are familiar with. It is in this dynamicity and complexity that the key motivations for realizing IUIs on mobile devices may be found. Thus, the chapter initially motivates the need for the deployment of IUIs in mobile contexts by reflecting on the archetypical elements that comprise the average mobile user’s situation or context. A number of broad issues pertaining to the deployment of AI techniques on mobile devices are considered before a practical realisation of this objective through the intelligent agent paradigm is presented. It is the authors hope that a mature understanding of the mobile computing usage scenario, augmented with key insights into the practical deployment of AI in mobile scenarios, will aid software engineers and HCI professionals alike in the successful utilisation of intelligent techniques for a new generation of mobile services.

Mobile and Handheld Security

2010 ◽  
pp. 313-327
Author(s):  
Lei Chen ◽  
Shaoen Wu ◽  
Yiming Ji ◽  
Ming Yang
Keyword(s):  
Mobile Devices ◽  
Operating Systems ◽  
User Interfaces ◽  
Work Life ◽  
Handheld Devices ◽  
Security Level ◽  
Security Services ◽  
Business Transactions ◽  
Bank Accounts ◽  
Online Bank

Mobile and handheld devices are becoming an integral part of people’s work, life and entertainment. These lightweight pocket-sized devices offer great mobility, acceptable computation power and friendly user interfaces. As people are making business transactions and managing their online bank accounts via handheld devices, they are concerned with the security level that mobile devices and systems provide. In this chapter we will discuss whether these devices, equipped with very limited computation power compared to full-sized computers, can make equivalent security services available to users. We focus on the security designs and technologies of hardware, operating systems and applications for mobile and handheld devices.

scholarly journals Intelligent User Interfaces for Mobile Computing

2008 ◽  
pp. 318-329 ◽  
Author(s):  
Michael J. O’Grady ◽  
Gregory M.P. O’Hare
Keyword(s):  
Mobile Computing ◽  
Mobile Devices ◽  
User Interfaces ◽  
Intelligence Quotient ◽  
Intelligent Agent ◽  
Mobile Services ◽  
Practical Issue ◽  
Intelligent User Interfaces ◽  
Software Engineers ◽  
New Generation

In this chapter, the practical issue of realizing a necessary intelligence quotient for conceiving intelligent user interfaces (IUIs) on mobile devices is considered. Mobile computing scenarios differ radically from the normal fixed workstation environment that most people are familiar with. It is in this dynamicity and complexity that the key motivations for realizing IUIs on mobile devices may be found. Thus, the chapter initially motivates the need for the deployment of IUIs in mobile contexts by reflecting on the archetypical elements that comprise the average mobile user’s situation or context. A number of broad issues pertaining to the deployment of AI techniques on mobile devices are considered before a practical realisation of this objective through the intelligent agent paradigm is presented. It is the authors hope that a mature understanding of the mobile computing usage scenario, augmented with key insights into the practical deployment of AI in mobile scenarios, will aid software engineers and HCI professionals alike in the successful utilisation of intelligent techniques for a new generation of mobile services.

Robotization of Mobile Communication

2020 ◽  
pp. 652-666
Author(s):  
Sakari Taipale ◽  
Tuuli Turja ◽  
Lina van Aerschot
Keyword(s):  
Artificial Intelligence ◽  
Mobile Devices ◽  
Human Body ◽  
Mobile Communication ◽  
User Interfaces ◽  
Communication Devices ◽  
Smart Mobile ◽  
Critical Overview ◽  
Robotic Software

The aim of this chapter is to systematize the discussion regarding robotization of mobile communication. The chapter begins by clarifying the fundamental role of both robot hardware and robot software in this process. This is followed by a critical overview of existing research, which is classified into three categories. First, robotization is understood as the hybridization of the human body with existing ordinary mobile devices. Second, the incorporation of new robotic software, such as algorithms, artificial intelligence, and virtual assistants, into mobile devices is seen to robotize them from inside. Third, the convergence of smart communication devices, typically as user interfaces with robot hardware, is seen to contribute to the robotization of mobile communication. The chapter is concluded by clarification of the boundary between quasi-robot and robot and outlining the ways in which the robotization of smart mobile communication will proceed in the future.

Usability Evaluation Methods for Mobile Applications

2008 ◽  
pp. 745-758 ◽  
Author(s):  
Regina Bernhaupt ◽  
Kristijan Mihalic ◽  
Marianna Obrist
Keyword(s):  
Mobile Devices ◽  
User Interfaces ◽  
Mobile Applications ◽  
Laboratory Testing ◽  
Field Evaluation ◽  
Evaluation Methods ◽  
Usability Evaluation ◽  
The Past ◽  
Usability Evaluation Methods ◽  
Selection Of

Evaluating mobile applications and devices is particularly challenging given the variability of users, uses, and environments involved. This chapter introduces usability evaluation methods (UEMs) for mobile applications. Over the past decades various usability evaluation methods have been developed and implemented to improve and assure easy-to-use user interfaces and systems. Since most of the so-called ‘classical’ methods have demonstrated shortcomings when used in the field of mobile applications, they were broadened, varied, and changed to meet the demands of testing usability for mobile applications. This chapter presents a selection of these ‘classical’ methods and introduces some methodological variations for testing usability in the area of mobile devices and applications. It argues for a combination of both field evaluation methods and traditional laboratory testing to cover different phases in the user-centered design and development process.

Interactive Personalized Catalogue for M-Commerce

2008 ◽  
pp. 218-228
Author(s):  
Sheng-Uei Guan ◽  
Yuan Sherng Tay
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Recommender System ◽  
User Interfaces ◽  
Personal Digital Assistant ◽  
User Preference ◽  
Screen Size ◽  
Size Constraints ◽  
Small Form Factor ◽  
Small Screen

M-commerce possesses two distinctive characteristics that distinguish it from traditional e-commerce: the mobile setting and the small form factor of mobile devices. Of these, the size of a mobile device will remain largely unchanged due to the tradeoff between size and portability. Small screen size and limited input capabilities pose a great challenge for developers to conceptualize user interfaces that have good usability while working within the size constraints of the device. In response to the limited screen size of mobile devices, there has been unspoken consensus that certain tools must be made available to aid users in coping with the relatively large volume of information. Recommender systems have been proposed to narrow down choices before presenting them to the user (Feldman, 2000). We propose a product catalogue where browsing is directed by an integrated recommender system. The recommender system is to take incremental feedback in return for browsing assistance. Product appearance in the catalogue will be dynamically determined at runtime based on user preference detected by the recommender system. The design of our hybrid m-commerce catalogue recommender system investigated the typical constraints of m-commerce applications to conceptualize a suitable catalogue interface. The scope was restricted to the case of having personal digital assistant (PDA) as the mobile device. Thereafter, a preference detection technique was developed to serve as the recommender layer of the system.

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