End-user Empowerment in the Digital Age

End-user empowerment (or human empowerment) may be seen as an important aspect of a human-centric approach towards the digital economy. Despite the role of end-users has been recognized as a key element in information systems and end-user computing, empowering end-users may be seen as a next evolutionary step. This minitrack aims at advancing the understanding of what end-user empowerment really is, what the main challenges to develop end-user empowering systems are, and how end-user empowerment may be achieved in specific domains

Using mobile RE tools to give end-users their own voice

Researchers highlight end-user involvement in system design as an important concept for developing useful and usable solutions. However, end-user involvement in software engineering is still an open-ended topic. Novel paradigms such as service-oriented computing strengthen the need for more active end-user involvement in order to provide systems that are tailored to individual end-user needs. Our work is based on the fact that the majority of end-users are familiar with mobile devices and use an increasing number of mobile applications. A mobile tool enabling end-user led requirements elicitation could be just one of many applications installed on end-users' mobile devices. In this paper, we present a framework of end-user involvement in requirements elicitation which motivates our research. The main contribution of our research is a tool-supported requirements elicitation approach allowing end-users to document needs in situ. Furthermore, we present first evaluation results to highlight the feasibility of on-site end-user led requirements elicitation

Ketidakpastian Tugas Sebagai Variabel Moderator Terhadap Hubungan Antara Pemanfaatan Teknologi Informasi Dan Kepuasan Pengguna Pada End User Computing

This research aims to test influence from diversity and the extent of utilization of information technology on the end user computing satisfactions. Also, this research examine interaction between task uncertainty and dimension of utilization (diversity and the extent) information technology on the end-user computing satisfaction. This research responder are administrative personel in faculty and program pascasarjana levels using information system in executing the duty. This research take sampel as much 65 sampel. Analysis used int this research is multiple regression to examine correlation between dimension of utilization with end-user computing satisfaction. While to examine the effect interaction between dimension of utilization and task uncertainty with end-user computing satisfaction used moderated regression analysis. The result of analysis indicate that diversity information technology are influece on the end-user computing satisfaction, interaction between diversity of utilization information technology and task uncertainty are influence on the end-user computing satisfaction. Although, extent of utilization information technology and interaction between extent of utilization information technology with task uncertainty are not significant influence on the end-user satisfaction

Holistic generational offsets: Fostering a primitive online abstraction for human vs. machine cognition

We propose a unified architecture for next generation cognitive, low cost, mobile internet. The end user platform is able to scale as per the application and network requirements. It takes computing out of the data center and into end user platform. Internet enables open standards, accessible computing and applications programmability on a commodity platform. The architecture is a super-set to present day infrastructure web computing. The Java virtual machine (JVM) derives from the stack architecture. Applications can be developed and deployed on a multitude of host platforms. O(1) O(N). Computing and the internet today are more accessible and available to the larger community. Machine learning has made extensive advances with the availability of modern computing. It is used widely in NLP, Computer Vision, Deep learning and AI. A prototype device for mobile could contain N compute and N MB of memory.Comment: 11 pages, extended architecture details, added references. arXiv admin note: text overlap with arXiv:1809.0779

The management of end user computing

Includes bibliographical references.John F. Rockart, Lauren S. Flannery

Machine Understanding of Human Behavior

A widely accepted prediction is that computing will move to the background, weaving itself into the fabric of our everyday living spaces and projecting the human user into the foreground. If this prediction is to come true, then next generation computing, which we will call human computing, should be about anticipatory user interfaces that should be human-centered, built for humans based on human models. They should transcend the traditional keyboard and mouse to include natural, human-like interactive functions including understanding and emulating certain human behaviors such as affective and social signaling. This article discusses a number of components of human behavior, how they might be integrated into computers, and how far we are from realizing the front end of human computing, that is, how far are we from enabling computers to understand human behavior

End User Computing am Ende?

Die IT-Kompetenz des durchschnittlichen Mitarbeitenden steigt stetig. Trotzdem unterhalten wir nach wie vor grosse Abteilungen, die für die Bereitstellung und den Support von Standard-PC-Arbeitsplätzen zuständig sind

A coordination protocol for user-customisable cloud policy monitoring

Cloud computing will see a increasing demand for end-user customisation and personalisation of multi-tenant cloud service offerings. Combined with an identified need to address QoS and governance aspects in cloud computing, a need to provide user-customised QoS and governance policy management and monitoring as part of an SLA management infrastructure for clouds arises. We propose a user-customisable policy definition solution that can be enforced in multi-tenant cloud offerings through an automated instrumentation and monitoring technique. We in particular allow service processes that are run by cloud and SaaS providers to be made policy-aware in a transparent way

User-customisable policy monitoring for multi-tenant cloud architectures

Cloud computing needs end-user customisation and person- alisation of multi-tenant cloud service oerings. Particularly, QoS and governance policy management and monitoring is needed. We propose a user-customisable policy denition solution that can be enforced in multitenant cloud oerings through automated instrumentation and monitoring. Service processes run by cloud and SaaS providers can be made policy-aware in a transparent way