ERCIM News No.26 - July 1996
Human-Centered Information Systems
by Gary W. Strong, Yi-Tzuu Chien, John Hestenes and Steve M. Griffin
The U.S. National Science Foundation (NSF) and Defense Advanced
Research Projects Agency (DARPA) have co-operated in two human-centred initiatives,
Human Language Technology (HLT) and Human Language Resources (HLR). A new
initiative is the multi-agency, multi-modal communication initiative 'SIMULATE:
Speech, Text, Image, and MULtimedia Advanced Technology Effort' (MMC). These
multi-modal, speech and language initiatives are laying key foundations
for new multi-agency research and development initiatives in Human-Centered
Information Systems (HCIS). This document summarises on-going research and
opportunities in human language technology in terms of the HCIS goals and
research and technology threads.
In the last several years there has been a growing national awareness that
the ways in which humans interact with and relate to information systems
are critical to achieving high levels of service and functionality from
systems.
Improvements in computing and communications per se are only a part of what
is needed to reach the potential of new information technologies. While
there are predictions for computers with 1,000 to 100,000 times the speed
of today's systems there are as yet few organised R&D programs focusing
on how individuals, groups, and communities will interact with them in institutional
settings to extract useful information for decision making and for general
knowledge expansion. Speed and connectivity are not enough to make systems
useful as information engines. Many questions about representation, interactivity,
cognition, corpora, and agents remain to be answered both before and after
systems are implemented.
Many of the functional failures of major operational systems in the military,
corporate, and educational arenas have been tentatively recognised and couched
in such vague terms as operator error. Such phrases hint at knowledge gaps
regarding how humans, groups and organisations interact with computing and
communication systems. Current system design methodologies and requirements
definition still tend to focus on the architecture of software and hardware
systems, discounting higher level system issues, ones that address individuals,
groups, communities, and the nature of collaboration environments.
The possibility of achieving new capabilities through human-centred information
systems and technologies is an opportunity for broad societal impact. It
holds the promise of redefining national competitiveness and productivity,
for improving the general workforce, and creating a more informed and educated
citizenry as we enter more deeply into the information age.
Technical Content and R&D Agenda of HCIS
The HCIS goals are to augment human capabilities to manage and use information
through advances in five primary research and technology areas. Research
programs or projects may aim at advances in either a few technology threads
or, perhaps, in all of the following, depending on the specific research
targets:
- representation: improved represen-tation of real and synthetic infor-mation
for effective human use
- interactivity: improved interaction between humans, agents, systems
and information environments
- cognition: improved computational, modelling and learning capabilities
for information processing and understanding
- corpora: improved organisation, access capabilities and content to
facilitate human access, manipulation and comprehension
- agents: improved interactive environments, agents, tools and testbed.
Some relationships between these research threads and the three most recent
inter-agency human language initiatives are:
Representation:
- speech and language generation (HLT, MMC)
- text summarisation (MMC)
- intermodality transformations (MMC)
- summarisation of text and images (MMC)
Interactivity:
- discourse & dialog (MMC)
- speech disfluency modelling (HLT)
- speech-facial interactivity (MMC)
- speech-gesture interactivity (MMC)
- speech and dialog interactivity in distributed collaboration
Cognition:
- language models (HLT, MMC)
- machine translation (MMC)
- word sense disambiguation (HLT)
- multi-modal models for improved speech recognition (MMC)
- cognitive and learning models
Corpora:
- speech corpora (HLR)
- ordinary citizen access
- disciplinary speech corpora
- language corpora
Agents:
- inter-modality agents (MMC)
- rapid prototyping tools
- language and learning assistants and environments.
Relationship to CIC Strategic Focus Areas
The Human-Centered Information Systems research and development agenda is
also directly related to the National Science and Technology Council's Council
on Information and Communication (CIC) Strategic Focus Areas (http://www.whitehouse.gov/White_House/EOP/OSTP/NSTC/html/cic/cic-plan.html)
that expressly involve individuals and groups of users: User-Centered Interfaces
and Tools, Virtual Environments, and Human Resources and Education. It is
also has important relationships with the other three Strategic Focus Areas:
High Performance Systems Software Technology, High Performance Computing
Research, and High Confidence Systems.
Without government investment, certain expectations of advanced systems
will continue to be unmet (such as speech recognition for ordinary citizens)
and reasonable performance of human-agent systems (as in distributed, knowledge-based
surgery and medicine). If the federal government does not invest in human-centred
information systems and applications over the next decade, then this research
and development will not be done and future government missions and national
leadership and international competitiveness will be jeopardised.
The material in this paper represents the views of the authors and does
not reflect National Science Foundation policies. Short descriptions of
the HLT and HLR projects can be found at:
http://www.cs.tufts.edu/~jacob/isgw/
http://www.cise.nsf.gov/cise/IRIS/ISPhome.html
Please contact:
Gary W. Strong - National Science Foundation
Tel: +1 703 306 1928
Fax: +1 703 306 0599
E-mail: gstrong@nsf.gov
or strong.chi@xerox.com
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