Research on information interaction and intelligent information provision mechanisms
Journal of Information Science - Special issue: Twenty-five years of teaching information science at the City University
Attention, intentions, and the structure of discourse
Computational Linguistics
Synergistic use of direct manipulation and natural language
CHI '89 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
XTRA: a natural-language access system to expert systems
International Journal of Man-Machine Studies
A flexible interface for linking applications to Penman's sentence generator
HLT '89 Proceedings of the workshop on Speech and Natural Language
A case-based architecture for a dialogue manager for information-seeking processes
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Intelligent multi-media interface technology
Intelligent user interfaces
Designing illustrated texts: how language production is influenced by graphics generation
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
The ROMPER system: responding to object-related misconceptions using perspective
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
Knowledge bases for user guidance in information seeking dialogues
IUI '93 Proceedings of the 1st international conference on Intelligent user interfaces
Generating cooperative system responses in information retrieval dialogues
INLG '94 Proceedings of the Seventh International Workshop on Natural Language Generation
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In our current research into the design of cognitively well-motivated interfaces relying primarily on the display of graphical information, we have observed that graphical information alone does not provide sufficient support to users --- particularly when situations arise that do not simply conform to the users' expectations. This can occur due to too much information being requested, too little, information of the wrong kind, etc. To solve this problem, we are working towards the integration of natural language generation to augment the interaction functionalities of the interface. This is intended to support the generation of flexible natural language utterances which pinpoint possible problems with a user's request and which further go on to outline the user's most sensible courses of action away from the problem. In this paper, we describe our first prototype, where we combine the graphical and interaction planning capabilities of our graphical information system SIC! with the text generation capabilities of the Penman system. We illustrate the need for such a combined system, and also give examples of how a general natural language facility beneficially augments the user's ability to navigate a knowledge base graphically.