Will mobile video become the killer application for 3G? - an empirical model for media convergence

Mobile carriers have continually rolled out 3G mobile video applications to increase their revenue and profits. The presumption is that video is superior to the already successful SMS, ringtones, and pictures, and can create greater value to users. However, recent market surveys revealed contradicting results. Motivated by this discrepancy, we propose in this paper a parsimonious model for user acceptance of mobile entertainment as digital convergence. Integrating research on Information Systems, Flow, and Media Psychology, we take a unique approach to user acceptance of digital convergence - platform migration. Our key proposition is that the interaction between media types and the platform-specific constraints is the key determinant of user evaluation. Particularly, users' involvement in the media is determined by both the entertaining time span on the original platform and the attentional constraint of the new platform. The mismatch between the two spans can result in lower level involvement, which in turn cause no or even negative user emotional responses. The model was tested with empirical data. We discuss the theoretical contributions, strategic and design implications, and future research directions derived from this theoretical framewor

Conceptual model for usable multi-modal mobile assistance during Umrah

Performing Umrah is very demanding and to be performed in very crowded environments. In response to that, many efforts have been initiated to overcome the difficulties faced by pilgrims. However, those efforts focus on acquiring initial perspective and background knowledge before going to Mecca. Findings of preliminary study show that those efforts do not support multi-modality for user interaction. Nowadays the computational capabilities in mobile phones enable it to serve people in various aspects of daily life. Consequently, the mobile phone penetration has increased dramatically in the last decade. Hence, this study aims to propose a comprehensive conceptual model for usable multimodal mobile assistance during Umrah called Multi-model Mobile Assistance during Umrah (MMA-U). Thus, four (4) supporting objectives are formulated, and the Design Science Research Methodology has been adopted. For the usability of MMA-U, Systematic Literature Review (SLR) indicates ten (10) attributes: usefulness, errors rate, simplicity, reliability, ease of use, safety, flexibility, accessibility, attitude, and acceptability. Meanwhile, the content and comparative analysis result in five (5) components that construct the conceptual model of MMA-U: structural, content composition, design principles, development approach, technology, and the design and usability theories. Then, the MMA-U has been reviewed and well-accepted by 15 experts. Later, the MMA-U was incorporated into a prototype called Personal Digital Mutawwif (PDM). The PDM was developed for the purpose of user test in the field. The findings indicate that PDM facilitates the execution of Umrah and successfully meet pilgrims’ needs and expectations. Also, the pilgrims were satisfied and felt that they need to have PDM. In fact, they would recommend PDM to their friends, which mean that use of PDM is safe and suitable while performing Umrah. As a conclusion, the theoretical contribution; the conceptual model of MMA-U; provides guidelines for developing multimodal content mobile applications during Umrah

Designing Human-Centered Collective Intelligence

Human-Centered Collective Intelligence (HCCI) is an emergent research area that seeks to bring together major research areas like machine learning, statistical modeling, information retrieval, market research, and software engineering to address challenges pertaining to deriving intelligent insights and solutions through the collaboration of several intelligent sensors, devices and data sources. An archetypal contextual CI scenario might be concerned with deriving affect-driven intelligence through multimodal emotion detection sources in a bid to determine the likability of one movie trailer over another. On the other hand, the key tenets to designing robust and evolutionary software and infrastructure architecture models to address cross-cutting quality concerns is of keen interest in the “Cloud” age of today. Some of the key quality concerns of interest in CI scenarios span the gamut of security and privacy, scalability, performance, fault-tolerance, and reliability. I present recent advances in CI system design with a focus on highlighting optimal solutions for the aforementioned cross-cutting concerns. I also describe a number of design challenges and a framework that I have determined to be critical to designing CI systems. With inspiration from machine learning, computational advertising, ubiquitous computing, and sociable robotics, this literature incorporates theories and concepts from various viewpoints to empower the collective intelligence engine, ZOEI, to discover affective state and emotional intent across multiple mediums. The discerned affective state is used in recommender systems among others to support content personalization. I dive into the design of optimal architectures that allow humans and intelligent systems to work collectively to solve complex problems. I present an evaluation of various studies that leverage the ZOEI framework to design collective intelligence

Advancement in infotainment system in automotive sector with vehicular cloud network and current state of art

The automotive industry has been incorporating various technological advancement on top-end versions of the vehicle order to improvise the degree of comfortability as well as enhancing the safer driving system. Infotainment system is one such pivotal system which not only makes the vehicle smart but also offers abundance of information as well as entertainment to the driver and passenger. The capability to offer extensive relay of service through infotainment system is highly dependent on vehicular adhoc network as well as back end support of cloud environment. However, it is know that such legacy system of vehicular adhoc network is also characterized by various problems associated with channel capacity, latency, heterogeneous network processing, and many more. Therefore, this paper offers a comprehensive insight to the research work being carried out towards leveraging the infotainment system in order to obtain the true picture of strength, limitation, and open end problems associated with infotainment system

Design of the usability measurement tool for multimodal mobile applications

Nowadays, mobile phones provide not just voice call and messaging services, but plethora of other services.Those computational capabilities allow mobile phones to serve people in various areas including education, banking, commerce, travelling, and other daily life aspects. Meanwhile, the number of mobile phone users has increased dramatically in the last decade.On the other hand, the usability of an application can usually be verified through the user interface. Therefore, this paper aims to design a measurement tool to evaluate the usability of mobile applications based on the usability attributes and dimensions that must be considered in the interface.To obtain the appropriate attributes, a Systematic Literature Review (SLR) has been conducted and the Goal Question Metric (GQM) has been used to design the tool. From 261 related works only 18 most relevant ones were selected, through four SLR. 25 dimensions were found through the SLR, but some of these dimensions are synonymous or a part of other dimensions. Consequently, three dimensions must be included in any usability evaluation instrument, which is broken down into ten sub dimensions

Personalization in cultural heritage: the road travelled and the one ahead

Over the last 20 years, cultural heritage has been a favored domain for personalization research. For years, researchers have experimented with the cutting edge technology of the day; now, with the convergence of internet and wireless technology, and the increasing adoption of the Web as a platform for the publication of information, the visitor is able to exploit cultural heritage material before, during and after the visit, having different goals and requirements in each phase. However, cultural heritage sites have a huge amount of information to present, which must be filtered and personalized in order to enable the individual user to easily access it. Personalization of cultural heritage information requires a system that is able to model the user (e.g., interest, knowledge and other personal characteristics), as well as contextual aspects, select the most appropriate content, and deliver it in the most suitable way. It should be noted that achieving this result is extremely challenging in the case of first-time users, such as tourists who visit a cultural heritage site for the first time (and maybe the only time in their life). In addition, as tourism is a social activity, adapting to the individual is not enough because groups and communities have to be modeled and supported as well, taking into account their mutual interests, previous mutual experience, and requirements. How to model and represent the user(s) and the context of the visit and how to reason with regard to the information that is available are the challenges faced by researchers in personalization of cultural heritage. Notwithstanding the effort invested so far, a definite solution is far from being reached, mainly because new technology and new aspects of personalization are constantly being introduced. This article surveys the research in this area. Starting from the earlier systems, which presented cultural heritage information in kiosks, it summarizes the evolution of personalization techniques in museum web sites, virtual collections and mobile guides, until recent extension of cultural heritage toward the semantic and social web. The paper concludes with current challenges and points out areas where future research is needed

Internet of things in health: Requirements, issues, and gaps

Background and objectives: The Internet of Things (IoT) paradigm has been extensively applied to several sectors in the last years, ranging from industry to smart cities. In the health domain, IoT makes possible new scenarios of healthcare delivery as well as collecting and processing health data in real time from sensors in order to make informed decisions. However, this domain is complex and presents several tech- nological challenges. Despite the extensive literature about this topic, the application of IoT in healthcare scarcely covers requirements of this sector. Methods: A literature review from January 2010 to February 2021 was performed resulting in 12,108 articles. After filtering by title, abstract, and content, 86 were eligible and examined according to three requirement themes: data lifecycle; trust, security, and privacy; and human-related issues. Results: The analysis of the reviewed literature shows that most approaches consider IoT application in healthcare merely as in any other domain (industry, smart cities…), with no regard of the specific requirements of this domain. Conclusions: Future effort s in this matter should be aligned with the specific requirements and needs of the health domain, so that exploiting the capabilities of the IoT paradigm may represent a meaningful step forward in the application of this technology in healthcare.Consejería de Conocimiento, Investigación y Universidad, Junta de Andalucía P18-TPJ - 307