This book explores the adaptation of cognitive processes to limited resources. It deals with resource-bounded and resource-adaptive cognitive processes in human information processing and human-machine systems plus the related technology transfer issues.
The Routledge Handbook of Experimental Linguistics provides an up-to-date and accessible overview of various ways in which experiments are used across all domains of linguistics and surveys the range of state-of-the-art methods that can be applied to analyse the language of populations with a wide range of linguistic profiles. Each chapter provides a step-by-step introduction to theoretical and methodological challenges and critically presents a wide range of studies in various domains of experimental linguistics. This handbook: Provides a unified perspective on the data, methods and findings stemming from all experimental research in linguistics Covers many different subfields of linguistics, including argumentation theory, discourse studies and typology Provides an introduction to classical as well as new methods to conduct experiments such as eye tracking and brain imaging Features a range of internationally renowned academics Shows how experimental research can be used to study populations with various linguistic profiles, including young children, people with linguistic impairments, older adults, language learners and bilingual speakers Providing readers with a wealth of theoretical and practical information in order to guide them in designing methodologically sound linguistic experiments, this handbook is essential reading for scholars and students researching in all areas of linguistics.
Welcome to NLDB04, the Ninth International Conference on the Application of Natural Language to Information Systems, held at the University of Salford, UK d- ing June 23-25, 2004. NLDB04 follows on the success of previous conferences held since 1995. Early conferences then known as Application of Natural Language to Databases, hence the acronym NLDB, were used as a forum to discuss and disse- nate research on the integration of natural language and databases and were mainly concerned with natural language based queries, database modelling and user int- faces that facilitate access to information. The conference has since moved to enc- pass all aspects of Information Systems and Software Engineering. Indeed, the use of natural language in systems modelling has greatly improved the development process and benefited both developers and users at all stages of the software development process. The latest developments in the field of natural language and the emergence of new technologies has seen a shift towards storage of large semantic electronic dictionaries, their exploitation and the advent of what is now known as the semantic web. Inf- mation extraction and retrieval, document and content management, ontology dev- opment and management and natural language conversational systems are becoming regular tracks in the last NLDB conferences. NLDB04 has seen a 50% increase in the number of submissions and has est- lished itself as one of the leading conferences in the area of applying natural language to information systems in its broader sense.
This new collection of contributions to the field of Cognitive Technology (CT) provides the (to date) widest spectrum of the state of the art in the discipline — a disciple dedicated to humane factors in tool design. The reader will find here a summary of past research as well as an overview of new areas for future investigations. The collection contains an extensive CT agenda identifying many as yet unsolved, CT-related, design issues. An exciting new development is the concept of ‘natural technology’. Some examples of natural technologies are discussed and the merits of empirical investigations (into what they are and how they develop), of interest to cognitive scientists and designers of new (corrective, digital) technologies, are pointed out. Another distinctive feature of the collection is that it provides examples of scientists’ tools; important, too, is its emphasis on ethics in tool design. The collection ends with a provocative coda (any responses can appear in the new, annual, CT forum of the Pragmatics and Cognition journal). The collection will appeal to all scientists, humanists and professionals interested in the interface between human cognitive processes and the technologies that augment them.
Incremental Conceptualization for Language Production discusses the simultaneous actions involved in thinking and speaking, as well as the piecemeal way in which individuals construct an internal representation of the external world and use this internal representation for speaking. Author Markus Guhe presents the first computational model that captures these observations in a cognitively adequate fashion. The volume is an innovative look at the mind’s process of producing semantic representations that can be transformed into language. The first section of the book illustrates four stages of conceptualization: construction of a conceptual representation; selection of content to be verbalized; linearization of the selected content; and generation of preverbal messages. Guhe then analyzes incremental processing — processing that takes place in a piecemeal fashion — and offers a blueprint of incremental models while discussing the dimensions along which the processing principles and the blueprint varies. Finally, incremental processing and conceptualization merge to form the incremental conceptualiser model (inC). The effective use of inC is demonstrated through simulations carried out with the implementation of the model. Intended for researchers in cognitive science, particularly cognitive modeling of language, this volume will also interest researchers in artificial intelligence, computational linguistics, psycholinguistics, and linguistics and psychology.
Psycholinguistics is an interdisciplinary field, and hence relationships are at its heart. First and foremost is the relationship between its two parent disciplines, psychology and linguistics, a relationship which has changed and advanced over the half century of the field's independent existence. At the beginning of the 21st Century, psycholinguistics forms part of the rapidly developing enterprise known as cognitive neuroscience, in which the relationship between biology and behavior plays a central role. Psycholinguistics is about language in communication, so that the relationship between language production and comprehension has always been important, and as psycholinguistics is an experimental discipline, it is likewise essential to find the right relationship between model and experiment. This book focuses in turn on each of these four cornerstone relationships: Psychology and Linguistics, Biology and Behavior, Production and Comprehension, and Model and Experiment. The authors are from different disciplinary backgrounds, but share a commitment to clarify the ways that their research illuminates the essential nature of the psycholinguistic enterprise.
The 33 revised full papers and 30 poster summaries presented together with papers of 12 selected doctoral consortium articles and the abstracts of 3 invited lectures were carefully reviewed and selected from 160 submissions. The book offers topical sections on adaptive hypermedia, affective computing, data mining for personalization and cross-recommendation, ITS and adaptive advice, modeling and recognizing human activity, multimodality and ubiquitous computing, recommender systems, student modeling, user modeling and interactive systems, and Web site navigation support.
The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for new computer interfaces— user input involving new media (speech, multi-touch, gestures, writing) embedded in multimodal-multisensor interfaces. These interfaces support smart phones, wearables, in-vehicle and robotic applications, and many other areas that are now highly competitive commercially. This edited collection is written by international experts and pioneers in the field. It provides a textbook, reference, and technology roadmap for professionals working in this and related areas. This first volume of the handbook presents relevant theory and neuroscience foundations for guiding the development of high-performance systems. Additional chapters discuss approaches to user modeling and interface designs that support user choice, that synergistically combine modalities with sensors, and that blend multimodal input and output. This volume also highlights an in-depth look at the most common multimodal-multisensor combinations—for example, touch and pen input, haptic and non-speech audio output, and speech-centric systems that co-process either gestures, pen input, gaze, or visible lip movements. A common theme throughout these chapters is supporting mobility and individual differences among users. These handbook chapters provide walk-through examples of system design and processing, information on tools and practical resources for developing and evaluating new systems, and terminology and tutorial support for mastering this emerging field. In the final section of this volume, experts exchange views on a timely and controversial challenge topic, and how they believe multimodal-multisensor interfaces should be designed in the future to most effectively advance human performance.