Mark T. Maybury
Has also published under the name of:
"M. Maybury" and "Mark Maybury"
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Publications by Mark T. Maybury (bibliography)
» 2006 «
Zhou, Michelle X. and Maybury, Mark T. (2006): Intelligent user interfaces for intelligence analysis. In: Proceedings of the 2006 International Conference on Intelligent User Interfaces 2006. p. 16. Available online
» 2004 «
Ardissono, Liliana, Kobsa, Alfred and Maybury, Mark T. (eds.) (2004): Personalized Digital Television - Targeting Programs to Individual Viewers. Springer-Verlag
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» 2003 «
Maybury, Mark T. (2003): Universal multimedia information access. In Universal Access in the Information Society, 2 (2) pp. 96-104
“Efficient, effective and intuitive access to multimedia information is essential for business, education, government and leisure. Unfortunately, interface design typically does not account for users with disabilities, estimated at 40 million in America alone. Given broad societal needs, our community has a social responsibility to provide universal designs that ensure efficient and effective access for all to heterogeneous and increasingly growing repositories of global information. This article describes information access functions, discusses associated grand challenges, and outlines potential benefits of technologies that promise to increase overall accessibility and success of interaction with multimedia. The article concludes by projecting the future of multimodal technology via a roadmap of multimodal resources, methods, and systems from 2003 through 2006.”
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Oviatt, Sharon L., Darrell, Trevor, Maybury, Mark T. and Wahlster, Wolfgang (eds.) Proceedings of the 5th International Conference on Multimodal Interfaces - ICMI 2003 November 5-7, 2003, Vancouver, British Columbia, Canada.
» 2002 «
Maybury, Mark T., D'Amore, Ray and House, David (2002): Awareness of Organizational Expertise. In International Journal of Human-Computer Interaction, 14 (2) pp. 199-217
“This article describes automated tools for increasing organizational
awareness within a global enterprise. The MITRE Corporation is the context for
this work; however, the tools and techniques are general and should apply to a
wide variety of distributed, heterogeneous organizations. These tools provide
awareness of team members and materials in virtual collaboration environments
as well as support for automated discovery of distributed experts. The results
are embodied in 3 systems: MITRE's Collaborative Virtual Workspace (CVW),
Expert Finder, and XpertNet. CVW is a place-based collaboration environment
that enables team members to find one another and work together. Expert Finder
is an expert skill finder that exploits the intellectual products created
within an organization to support automated expertise identification. XpertNet
addresses the problem of detecting extant or emerging classes of expertise
without a priori knowledge of their existence. Both Expert Finder and XpertNet
combine to detect and track experts and expert communities within a complex
work environment. After describing the background of knowledge management at
MITRE, this article describes the architecture and use of collaboration and
expert finder systems to enhance organizational awareness, provides some
principles of expertise, and concludes with an outline of future research
directions.”
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Brusilovsky, Peter and Maybury, Mark T. (2002): From adaptive hypermedia to the adaptive web. In Communications of the ACM, 45 (5) pp. 30-33
Light, Marc and Maybury, Mark T. (2002): Personalized multimedia information access. In Communications of the ACM, 45 (5) pp. 54-59
» 2001 «
Maybury, Mark T. (2001): Universal multimedia information access. In: Stephanidis, Constantine (ed.) HCI International 2001 - Proceedings of the 9th International Conference on Human-Computer Interaction August 5-10, 2001, New Orleans, USA. pp. 382-386.
Maybury, Mark T. (2001): Intelligent interfaces for universal access: challenges and promise. In: Stephanidis, Constantine (ed.) HCI International 2001 - Proceedings of the 9th International Conference on Human-Computer Interaction August 5-10, 2001, New Orleans, USA. pp. 86-90.
Maybury, Mark T. (2001): Collaborative Virtual Environments for Analysis and Decision Support. In Communications of the ACM, 44 (12) pp. 51-54
Maybury, Mark T., D'Amore, Raymond J. and House, David (2001): Expert Finding for Collaborative Virtual Environments. In Communications of the ACM, 44 (12) pp. 55-56
» 2000 «
Maybury, Mark T. (2000): News on Demand: Introduction. In Communications of the ACM, 43 (2) pp. 32-34
» 1999 «
Maybury, Mark T. (ed.) International Conference on Intelligent User Interfaces 1999 January 5-8, 1999, Redondo Beach, California, USA.
Maybury, Mark T. (1999): Intelligent User Interfaces: An Introduction. In: Maybury, Mark T. (ed.) International Conference on Intelligent User Interfaces 1999 January 5-8, 1999, Redondo Beach, California, USA. pp. 3-4. Available online
“Intelligent user interfaces promise to improve the interaction for all. Drawing upon material from the recently completed Readings in Intelligent User Interfaces (IUI) (Maybury and Wahlster, 1998), this tutorial will define terms, outline the history, describe key subfields, and exemplify and demonstrate intelligent user interfaces in action.”
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Mattox, D., Maybury, Mark T. and Morey, D. (1999): Enterprise expert and knowledge discovery. In: 1999. pp. 303-307.
Maybury, Mark T., Bayer, S. and Linton, F. (1999): Corpus-based user interfaces. In: 1999. pp. 922-926.
» 1998 «
Maybury, Mark T. and Wahlster, Wolfgang (eds.) (1998): Readings in Intelligent User Interfaces. Morgan Kaufmann Publishers
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» 1997 «
Miller, Christopher A., Corker, Kevin M., Maybury, Mark T. and Puerta, Angel R. (1997): Computational Approaches to Interface Design: What Works, What Doesn't, What Should and What Might. In: Moore, Johanna D., Edmonds, Ernest and Puerta, Angel R. (eds.) International Conference on Intelligent User Interfaces 1997 January 6-9, 1997, Orlando, Florida, USA. pp. 123-126. Available online
“Tools which make use of computational processes -- mathematical, algorithmic and/or knowledge-based -- to perform portions of the design, evaluation and/or construction of interfaces have become increasingly available and powerful. Nevertheless, there is little agreement as to the appropriate role for a computational tool to play in the interface design process. Current tools fall into broad classes depending on which portions, and how much, of the design process they automate. The purpose of this panel is to view and generalize about computational approaches developed to date, discuss the tasks which for which they are suited, and suggest methods to enhance their utility and acceptance. Panel participants represent a wide diversity of application domains and methodologies. This should provide for lively discussion about implementation approaches, accuracy of design decisions, acceptability of representational tradeoffs and the optimal role for a computational tool to play in the interface design process.”
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Merlino, Andrew, Morey, Daryl and Maybury, Mark T. (1997): Broadcast News Navigation Using Story Segmentation. In: ACM Multimedia 1997 1997. pp. 381-391. Available online
» 1994 «
Maybury, Mark T. (1994): Intelligent Multimedia Interaction. In: Stephanidis, Constantine and Carbonell, Noelle (eds.) Proceedings of the 3rd ERCIM Workshop on User Interfaces for All November 3-4, 1994, Obernai, France. p. 2. Available online
“Governments, industry and academia have increased their focus on the importance of the human machine interface in the global information economy. More effective, efficient and natural human computer or computer mediated human-human interaction will require automated understanding and generation of multimedia and will rely upon precise information about the user, discourse, task and context (Maybury 1993). This invited talk will begin by briefly outlining the history of and advances in the area of intelligent multimedia interfaces including multimedia input analysis, multimedia presentation generation, model based interfaces, and the use of user, discourse and task models to enhance interaction. The talk will describe our research to provide users with intelligent interfaces which reason about and exploit tasks models and models of user focus of attention to mitigate application and domain complexity through such means as tailored presentation design and cooperative responses. Through a video demonstration, I will show an early intelligent multimedia interface that incorporates language processing, simple user and discourse modeling, and visualization to improve the timeliness and accuracy of information access from the web (Smotroff et al. 1995). The talk will then describe architectures that have evolved from research in intelligent user interfaces over the past twenty years (Sullivan and Tyler 1991; Maybury and Wahlster 1997) and distinguish these from conventional commercial user interface architectures. The presentation will conclude by pointing out current work in progress that aims to fully instrument the interface and build (automatically and semi-automatically) annotated corpora of human-machine interaction. We believe this will yield deeper and more comprehensive models of interaction which should ultimately enable more principled interface design. Time permitting, we will also overview our current, ambitious effort to create algorithms to segment, extract, summarize and visualize broadcast news in MITRE's Broadcast News Navigator (Maybury et al. 1997). This exemplifies an emerging class of applications that support content-based retrieval of multimedia (Maybury 1997). The talk will conclude with comments on the future of intelligent human computer interaction.”
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» 1993 «
Maybury, Mark T. (ed.) (1993): Intelligent Multimedia Interfaces. AAAI/MIT Press
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“Multimedia communication is ubiquitous in daily life. When we converse with one another, we utilize a wide array of media to interact including spoken language, gestures, and drawings. We exploit multiple human sensory systems or modes of communication including vision, audition, and taction. Some media and modes of communication are more efficient or effective than others for certain tasks, users, or contexts (e.g., the use of speech to control devices in hand and eyes-busy contexts, the use of maps to convey terrain and cartographic information). Whereas humans have a natural facility for managing and exploiting multiple input and output media, computers do not. Consequently, providing machines with the ability to interpret multimedia input and generate multimedia output would be a valuable facility for a number of key applications such as information retrieval and analysis, training, and decision support. This book focuses specifically on those intelligent interfaces that exploit multiple media and modes to facilitate human-computer communication. This edited collection, with contributions from North American and Europe, will be of interest to researchers and practitioners in computer science, artificial intelligence, human computer interaction, cognitive science, and graphic design.”
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» 1992 «
Maybury, Mark T. (1992): Communicative Acts for Explanation Generation. In International Journal of Man-Machine Studies, 37 (2) pp. 135-172
“Knowledge-based systems that interact with humans often need to define their terminology, elucidate their behavior or support their recommendations or conclusions. In general, they need to explain themselves. Unfortunately, current computer systems, if they can explain themselves at all, often generate explanations that are unnatural, ill-connected or simply incoherent. They typically have only one method of explanation which does not allow them to recover from failed communication. At a minimum, this can irritate an end-user and potentially decrease their productivity. More dangerous, poorly conveyed information may result in misconceptions on the part of the user which can lead to bad decisions or invalid conclusions, which may have costly or even dangerous implications. To address this problem, we analyse human-produced explanations with the aim of transferring explanation expertise to machines. Guided by this analysis, we present a classification of explanatory utterances based on their content and communicative function. We then use these utterance classes and additional text analysis to construct a taxonomy of text types. This text taxonomy characterizes multisentence explanations according to the content they convey, the communicative acts they perform, and their intended effect on the addressee's knowledge, beliefs, goals and plans. We then argue that the act of explanation presentation is an action-based endeavor and introduce and define an integrated theory of communicative acts (rhetorical, illocutionary, and locutionary acts). To illustrate this theory we formalize several of these communicative acts as plan operators and then show their use by a hierarchical text planner (TEXPLAN -- Textual EXplanation PLANner) that composes natural language explanations. Finally, we classify a range of reactions readers may have to explanations and illustrate how a system can respond to these given a plan-based approach. Our research thus contributes (1) a domain-independent taxonomy of abstract explanatory utterances, (2) a taxonomy of multisentence explanations based on these utterance classes and (3) a classification of reactions readers may have to explanations as well as (4) an illustration of how these classifications can be applied computationally.”
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Mar 20th, 2010
Changes to this page (author)
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