Intelligent user interfaces Maybury, Mark
International Conference on Intelligent User Interfaces: Proceedings of the 4th international conference on Intelligent user interfaces; 05-08 Jan. 1999,
12/1998
Conference Proceeding
Air Force Cyber Vision 2025 Donley, Michael; Maybury, Mark
Armed Forces Journal,
10/2012
Trade Publication Article
Malware signatures are expected to increase from fewer than 3 million to more than 200 million by 2025. ...the appearance of worms such as Stuxnet, Duqu and Flame illustrate that cyber operations ...have moved beyond the virtual realm to touch the physical world.
The Future of Style Burns, Kevin; Maybury, Mark
The Structure of Style
Book Chapter
Previous chapters have addressed a variety of ways in which style can be expressed and evoked—in production, perception, and interaction. The present chapter explores the future of style in ...interactive applications of artificial intelligence (AI). To do so we dissect style along various dimensions, including functions, levels, domains, and uses, in a survey of current applications and a roadmap for future innovations. We conclude that major advances will require a shift in focus from the function of production to the function of perception—and from the level of semantics to the level of aesthetics.
Next generation question answering systems are challenged on many fronts including but not limited to massive, heterogeneous and sometimes streaming collections, diverse and challenging users, and ...the need to be sensitive to context, ambiguity, and even deception. This chapter describes new directions in question answering (QA) including enhanced question processing, source selection, document retrieval, answer determination, and answer presentation generation. We consider important directions such as answering questions in context (e.g., previous queries, day or time, the data, the task, location of the interactive device), scenario based QA, event and temporal QA, spatial QA, opinionoid QA, multimodal QA, multilingual QA, user centered and collaborative QA, explanation, interactive QA, QA reuse, and novel architectures for QA. The chapter concludes by outlining a roadmap of the future of question answering, articulating necessary resources for, impediments to, and planned or possible future capabilities.
This chapter attempts to summarize Yorick’s long and rich professional career and introduce some of his main areas of contribution which are elaborated in other chapters. Teacher, researcher, mentor, ...and actor, this chapter pays tribute to his many contributions, professional service and honors
2003 AAAI Spring Symposium Series Abecker, Andreas; Antonsson, Erik K.; Callaway, Charles B. ...
The AI magazine,
09/2003, Volume:
24, Issue:
3
Journal Article
Peer reviewed
The American Association for Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2003 Spring Symposium Series, Monday through Wednesday, ...24–26 March 2003, at Stanford University. The titles of the eight symposia were Agent‐Mediated Knowledge Management, Computational Synthesis: From Basic Building Blocks to High‐Level Functions, Foundations and Applications of Spatiotemporal Reasoning (FASTR), Human Interaction with Autonomous Systems in Complex Environments, Intelligent Multimedia Knowledge Management, Logical Formalization of Commonsense Reasoning, Natural Language Generation in Spoken and Written Dialogue, and New Directions in Question‐Answering Motivation.
Full text
Available for:
CEKLJ, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
The Adaptive Web is a relatively young research area. Starting with a few pioneering works on adaptive hypertext in early 1990, it now attracts many researchers from different communities such as ...hypertext, user modeling, machine learning, natural language generation, information retrieval, intelligent tutoring systems, cognitive science, and Web-based education. Currently, the principal application areas of adaptive Web systems are education, information retrieval, and kiosk-style information systems.
Full text
Available for:
IZUM, KILJ, NUK, PILJ, SAZU, UL, UM, UPUK
49.
Collaboration operations: ensuring success Maybury, M.
Proceedings of the 2005 International Symposium on Collaborative Technologies and Systems, 2005,
2005
Conference Proceeding
Summary form only given. Collaboration services promise to improve the engagement and effectiveness of humans across geospatial, temporal, and organizational boundaries. However there also are many ...examples of collaboration failures. This article describes several successful deployments of state of the art collaboration environments and exemplifies and demonstrates the use of collaboration services to enhance team endeavors. We highlight both synchronous and asynchronous collaboration services such as conferencing (audio, video, text), data and application sharing, and workflow management and describe more sophisticated services including expertise location, translingual chat, and meeting transcription/summarization. We describe successful collaboration deployments in several domains including joint air operations, intelligence, and coalition operations. Operational outcomes have included dramatic effects such as a doubling the level of situational awareness, cutting in half the time to perform operations, significantly reducing forward deployed personnel, and transforming serial operations into parallel ones. Video and pictures from real world operations will highlight both enablers of and impediments to successful collaboration. This article does not evaluate or recommend any specific tools, rather report experiences and lessons learned from over a decade of experience with multiple collaboration environments in operational settings. We summarize key lessons learned and outline collaboration best practices that promise to increase the likelihood of successful collaboration. This includes efforts that address technology, process, and culture challenges that ensure successful awareness, information sharing, joint action, and, ultimately, goal alignment. We introduce a collaboration Capability Maturity Model (C-CMM) that describes key elements underlying collaboration process maturity
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