Social Network Adaptation, a Panacea to Information and Communication Technologies (ICTs), Innovation Diffusion: the Case of Small Scale Agribusinesses in Less Developed Countries

There is substantial research in the area of diffusion of innovation theory (DoI), and its application to information systems and information technology (IS/IT) innovation within organisations. However, scholars in recognition of the conceptual limitations of DoI, have called for the incorporation of certain aspects of social network theory (SNT) into DoI framework. In developing countries, one such justification for this theoretical stance is the fact that information communication channels through which technology innovation is diffused have been shown to substantially influence the rate of technology adoption. In this study, the author focuses on exploring how diffusion of innovation (DoI) theory underpinned by social elements can be used to develop and enable the effective diffusion of innovation among small scale agribusinesses in Nigeria. Data was obtained primarily through qualitative research (semi-structured interviews, document analysis and field notes/observation). Data analysis and coding was conducted using template analysis (Atlas.ti). The findings of the research suggest that an understanding of the conceptual basis of innovation is a major driver of successful innovation adoption

Discovery-led refinement in e-discovery investigations: sensemaking, cognitive ergonomics and system design.

Given the very large numbers of documents involved in e-discovery investigations, lawyers face a considerable challenge of collaborative sensemaking. We report findings from three workplace studies which looked at different aspects of how this challenge was met. From a sociotechnical perspective, the studies aimed to understand how investigators collectively and individually worked with information to support sensemaking and decision making. Here, we focus on discovery-led refinement; specifically, how engaging with the materials of the investigations led to discoveries that supported refinement of the problems and new strategies for addressing them. These refinements were essential for tractability. We begin with observations which show how new lines of enquiry were recursively embedded. We then analyse the conceptual structure of a line of enquiry and consider how reflecting this in e-discovery support systems might support scalability and group collaboration. We then focus on the individual activity of manual document review where refinement corresponded with the inductive identification of classes of irrelevant and relevant documents within a collection. Our observations point to the effects of priming on dealing with these efficiently and to issues of cognitive ergonomics at the human–computer interface. We use these observations to introduce visualisations that might enable reviewers to deal with such refinements more efficiently

Mediating between Services and Learning Activities – the User Perspective

We reflect upon the LADIE project’s experience of migrating a concept of user requirements from the teaching practitioner community to the technical developer community in the light of literature on ‘mediating representations’ and ‘mediating artefacts’. We show that the practical operation of mediating representations is far more complex than previously acknowledged. We suggest that communities need to overlap, allowing reciprocal communication, to migrate concepts via a representation. If they do not, a chain of intermediate representations and communities may be necessary. Finally, we draw a tentative distinction between mediating representations and mediating artefacts, based not in the nature of the resources, but in their mode and context of use

Symbol Emergence in Robotics: A Survey

Humans can learn the use of language through physical interaction with their environment and semiotic communication with other people. It is very important to obtain a computational understanding of how humans can form a symbol system and obtain semiotic skills through their autonomous mental development. Recently, many studies have been conducted on the construction of robotic systems and machine-learning methods that can learn the use of language through embodied multimodal interaction with their environment and other systems. Understanding human social interactions and developing a robot that can smoothly communicate with human users in the long term, requires an understanding of the dynamics of symbol systems and is crucially important. The embodied cognition and social interaction of participants gradually change a symbol system in a constructive manner. In this paper, we introduce a field of research called symbol emergence in robotics (SER). SER is a constructive approach towards an emergent symbol system. The emergent symbol system is socially self-organized through both semiotic communications and physical interactions with autonomous cognitive developmental agents, i.e., humans and developmental robots. Specifically, we describe some state-of-art research topics concerning SER, e.g., multimodal categorization, word discovery, and a double articulation analysis, that enable a robot to obtain words and their embodied meanings from raw sensory--motor information, including visual information, haptic information, auditory information, and acoustic speech signals, in a totally unsupervised manner. Finally, we suggest future directions of research in SER.Comment: submitted to Advanced Robotic

"Internet universality": Human rights and principles for the internet

This paper details proposals by UNESCO to manufacture and draft a concept of “Internet Universality” that adopts a human-rights framework as a basis for articulating a set of principles and rights for the Internet. The paper discusses various drafts of this concept before examining the Charter of Human Rights and Principles for the Internet put forward by The Internet Rights & Principles Dynamic Coalition based at the UN Internet Governance Forum, and the working law Marco Civil da Internet introduced by Brazil

Augmenting conversations through context-aware multimedia retrieval based on speech recognition

Future’s environments will be sensitive and responsive to the presence of people to support them carrying out their everyday life activities, tasks and rituals, in an easy and natural way. Such interactive spaces will use the information and communication technologies to bring the computation into the physical world, in order to enhance ordinary activities of their users. This paper describes a speech-based spoken multimedia retrieval system that can be used to present relevant video-podcast (vodcast) footage, in response to spontaneous speech and conversations during daily life activities. The proposed system allows users to search the spoken content of multimedia files rather than their associated meta-information and let them navigate to the right portion where queried words are spoken by facilitating within-medium searches of multimedia content through a bag-of-words approach. Finally, we have studied the proposed system on different scenarios by using vodcasts in English from various categories, as the targeted multimedia, and discussed how it would enhance people’s everyday life activities by different scenarios including education, entertainment, marketing, news and workplace