Considers what computers can and cannot do, analysing how computer sign systems compare to humans through a concept of reflexivity.

A theory of HCI that uses concepts from semiotics and computer science to focus on the communication between designers and users during interaction. In The Semiotic Engineering of Human-Computer Interaction, Clarisse Sieckenius de Souza proposes an account of HCI that draws on concepts from semiotics and computer science to investigate the relationship between user and designer. Semiotics is the study of signs, and the essence of semiotic engineering is the communication between designers and users at interaction time; designers must somehow be present in the interface to tell users how to use the signs that make up a system or program. This approach, which builds on--but goes further than--the currently dominant user-centered approach, allows designers to communicate their overall vision and therefore helps users understand designs--rather than simply which icon to click. According to de Souza's account, both designers and users are interlocutors in an overall communication process that takes place through an interface of words, graphics, and behavior. Designers must tell users what they mean by the artifact they have created, and users must understand and respond to what they are being told. By coupling semiotic theory and engineering, de Souza's approach to HCI design encompasses the principles, the materials, the processes, and the possibilities for producing meaningful interactive computer system discourse and achieves a broader perspective than cognitive, ethnographic, or ergonomic approaches. De Souza begins with a theoretical overview and detailed exposition of the semiotic engineering account of HCI. She then shows how this approach can be applied specifically to HCI evaluation and design of online help systems, customization and end-user programming, and multiuser applications. Finally, she reflects on the potential and opportunities for research in semiotic engineering.

Semiotics, the science of signs, has long been recognised as an important discipline for understanding information and communications. Moreover it has found wide application in other areas of computer science, as it offers an effective insight into organisations and the computer systems that support them. An organisation may be viewed as a system of information and communication in which human actors, with the assistance of information technology, are able to process, represent, store and consume information. Computer systems that fit into an organisation and that support and enhance its performance and competitiveness, can be better delivered if semiotic principles are understood and applied. In this book, first published in 2000, semiotic methods are introduced and illustrated through three major case studies, which demonstrate how information systems can be developed to meet business requirements and support business objectives. It will appeal to academics, systems developers and analysts.

Once, human-computer interaction was limited to a privileged few. Today, our contact with computing technology is pervasive, ubiquitous, and global. Work and study is computer mediated, domestic and commercial systems are computerized, healthcare is being reinvented, navigation is interactive, and entertainment is computer generated. As technology has grown more powerful, so the field of human-computer interaction has responded with more sophisticated theories and methodologies. Bringing these developments together, The Wiley Handbook of Human-Computer Interaction explores the many and diverse aspects of human-computer interaction while maintaining an overall perspective regarding the value of human experience over technology.

Semiotics is the science of signs: graphical, such as pictures; verbal (writing or sounds); or others such as body gestures and clothes. Computer semiotics studies the special nature of computer-based signs and how they function in use. This 1991 book is based on ten years of empirical research on computer usage in work situations and contains material from a course taught by the author. It introduces basic traditional semiotic concepts and adapts them so that they become useful for analysing and designing computer systems in their symbolic context of work. It presents a novel approach to the subject, rich in examples, in that it is both theoretically systematic and practical. The author refers to and reinterprets techniques already used so that readers can deepen their understanding. In addition, it offers new techniques and a consistent perspective on computer systems that is particularly appropriate for new hardware and software (e.g. hypermedia) whose main functions are presentation and communication. This is a highly important work whose influence will be wide and longlasting.

Media semiotics is a valuable method of focusing on the hidden meanings within media texts. This new edition brings Understanding Media Semiotics fully up to date and is written for students of the media, of linguistics and those interested in studying the ever-changing media in more detail. Offering an in-depth guide to help students investigate and understand the media using semiotic theory, this book assumes little previous knowledge of semiotics or linguistics, avoiding jargon and explaining the issues step by step. With in-depth case studies, practical accounts and directed further reading, Understanding Media Semiotics provides students with all the tools they need to understand semiotic analysis in the context of the media. Semiotic analysis is sometimes seen as complicated and difficult to understand; Marcel Danesi shows that on the contrary it can be readily understood and can greatly enrich students' understanding of media texts, from print media right through to the internet and apps.

The fields of artificial intelligence, intelligence control, and intelligent systems are constantly changing in the subject area of information science and technology. Semiotics and Intelligent Systems Development assembles semiotics and artificial intelligence techniques in order to design new kinds of intelligence systems.An evolutionary publication, Semiotics and Intelligent Systems Development forever changes the research field of artificial intelligence by incorporating the study of meaning processes (semiosis), from the perspective of formal sciences, linguistics, and philosophy