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As Internet computing becomes a norm in everyday life, web-based learning is acceptable to many people. However, it is a challenge to learn data modeling on the Internet. Not only is it difficult to guide the users through the operations of e-Learning, but also it is hard to measure its effectiveness. This paper presents a methodology of using interactivity of guiding the user through a case study to learn the discipline of stepwise procedure of data modeling. With well documented data modeling theories on the web pages, the user has to answer the question correctly by selecting the right choice step by step to complete a case study. As a result, the user learns the correct way of data modeling through interactive learning on the web. It is very user friendly and effective. In this respect, this paper focuses on the design principles and implementation of the Human-Computer Interface (HCI). We lay down the guidelines for HCI design concept and principles, and evaluate the HCI design of an interactive e-Learning application.

This paper presents the system designed to observe kidney glomeruli interactively with conventional CCD cameras and immersive virtual reality (VR) space. First, we captured the X-ray transmitted images and converted them to computer tomogram (CT). Second, the three-dimensional (3D) image was reconstructed using various image processing, binarization, dilation, contraction, labeling and surface rendering. Third, we presented the 3D image on the immersive projection system (IPS) and installed the function of on-line counting of the number of glomeruli. This system provides an observer the immersive environment and enables him to count the kidney glomeruli interactively.

Despite the proliferation of studies outlining the immense benefits obtained from e-learning, the understanding of students’ satisfaction with e-learning in developing countries is still unclear. Therefore, this paper investigates the relationship between Saudi students’ satisfaction with online courses and a number of individual, as well as institutional characteristics cited as robust predictors of students’ satisfaction in the educational literature. These include: students’ levels of internet self-efficacy, self-regulated learning, assessment of course and instructors’ interactivity and their evaluation of the Learning Management System (LMS) used. The results indicated that students’ internet self-efficacy and self-regulated learning constitute critical factors influencing students’ satisfaction with e-learning. Further, students’ assessment of course, as well as instructors’ interactivity are found to marginally affect perceived satisfaction with e-learning among Saudi students. The LMS used (Blackboard) seemed to be the weakest factor influencing students’ experience with online education. Overall, based on the results obtained and in order to maximise the benefits of e-learning; this paper recommends for Saudi universities to extensively use LMS to increase the interactions among primary stakeholders: students–instructors, students–students and students–LMS.

Virtual assistants are becoming significant in the area of voice commerce. Voice commerce creates an environment where orders and payments can be done through voice recognition, increasing its accessibility in comparison to other existing commercial transaction methods. Thus, the field is expected to grow into a promising industry. However, the full bloom of voice commerce depends on user acceptance, as well as technological improvement. This study develops a conceptual framework to describe factors influencing user acceptance to voice commerce, which are analyzed with the structural equation model by combining the technology acceptance model (TAM) and the model of innovation resistance (MIR). With accuracy, social presence, and interactivity of a virtual assistant, along with user attributes such as user innovativeness and experience, as variables, a survey of 151 Koreans in their 20s and 30s is conducted. Moreover, the impact of three factors, relative advantage, perceived ease of use, and perceived risk, on innovation acceptance and resistance is analyzed to find key variables that affect the resistance to and acceptance of voice commerce. These findings provide notable implications to companies currently using voice commerce platforms and guidance to an emerging commercial trading system.

This study used TAM to achieve the objective of examining the impact of perceived ease of use (PEOU), perceived usefulness (PU), interactivity, perceived value (PV), and critical mass on business performance (BP) mediating buy social media marketing (SMM) adoption. An online survey was distributed to 174 participants in Jordanian homemade food start-ups. AMOS was used to evaluate a sample of 152 valid surveys. This study had seven hypotheses, all of which were supported. The results highlight that PEOU, PU, interactivity, PV, and critical mass have a significant positive impact on SMM adoption. Furthermore, this study found that SMM adoption has a significant impact on business performance. In addition, this study contributes to the existing knowledge related to SMM adoption and is valuable to enterprises.

This paper is a first attempt to systematically explore the main characteristics of videogames and the particular problems encountered in their development. As an example of an emerging creative industry, videogames are an instance of what we term interactive experiential products. Our study is based on 65 project reports, which were used to examine how the product's interactive nature created certain characteristics in the product's development processes. We find that videogame development displays experiential processes similar to those used in other products which embody "experiential" development processes, such as frequent milestones and testing, multiple design iterations, multifunctional teams and strong project leadership. We also show that there are some subtleties or peculiarities that are specific to games even within these characteristics, such as more complex concurrent development, pipelining and integration issues. Some characteristics are more unique to videogame development, such as "feature creep" and "feature iteration". In general, this results from the complex combination of technology, (creative) game design and (artistic) content within videogames, which causes complexity and uncertainty in the development process. At one extreme, videogames may suffer from not being subject to a full testing cycle until near the end of the project, and given the high uncertainty of consumer's receptivity to the product, this makes for a difficult development situation. While the use of more rational development processes (such as formal software development practices from software engineering) could help with these issues, new thinking can also be done in the future about whether new and more appropriate product development models can be developed to address the needs of videogame development.

Cartoon IP images combine content and intellectual property, serving as the core element of the entire industry chain. As they are visual, simple and easy to understand, cartoon IP images play an active role in various cultural fields and have greater impacts on today’s society. With the rapid development of new media technology, cartoon IP images break through the limitations of the traditional media context, and there emerge some of their new features. This paper compares the different ways of presentation of cartoon IP images in traditional media and new media contexts, and analyzes the expression and interactivity of cartoon IP images in the new media context in terms of virtual presentation, interactive display and fragmentation.

The aim of this chapter is to refine some questions regarding AI, and to provide partial answers to them. We analyze the state of the art in designing intelligent systems that are able to mimic human complex activities, including acts based on artificial consciousness. The analysis is performed to contrast the human cognition and behavior to the similar processes in AI systems. The analysis includes elements of psychology, sociology, and communication science related to humans and lower level beings. The second part of this chapter is devoted to human-human and man-machine communication, as related to intelligence. We emphasize that the relational aspects constitute the basis for the perception, knowledge, semiotic and communication processes. Several consequences are derived. Subsequently, we deal with the tools needed to endow the machines with intelligence. We discuss the roles of knowledge and data structures. The results could help building "sensitive and intelligent" machines.