Various views on spatial prepositions
AI Magazine
ERNEST: A Semantic Network System for Pattern Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Control and explanation in a signal understanding environment
Signal Processing - Intelligent systems for signal and image understanding
User representations of computer systems in human-computer speech interaction
International Journal of Man-Machine Studies
Predicting hyperarticulate speech during human-computer error resolution
Speech Communication
Qualitative Representation of Spatial Knowledge
Qualitative Representation of Spatial Knowledge
Utilizing Spatial Relations for Natural Language Access to an Autonomous Mobile Agent
KI '94 Proceedings of the 18th Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
CMC '98 Revised Papers from the Second International Conference on Cooperative Multimodal Communication
A fast algorithm for the generation of referring expressions
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
Using aggregation for selecting content when generating referring expressions
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Over-answering yes-no questions: extended responses in a NL interface to a vision system
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
Qualitative spatial reasoning about relative point position
Journal of Visual Languages and Computing
Dialog-based 3D-image recognition using a domain ontology
SC'06 Proceedings of the 2006 international conference on Spatial Cognition V: reasoning, action, interaction
Spatial relation model for object recognition in human-robot interaction
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Comparing spoken language route instructions for robots across environment representations
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Identifying objects on the basis of spatial contrast: an empirical study
SC'04 Proceedings of the 4th international conference on Spatial Cognition: reasoning, Action, Interaction
Exploiting qualitative spatial neighborhoods in the situation calculus
SC'04 Proceedings of the 4th international conference on Spatial Cognition: reasoning, Action, Interaction
Modelling models of robot navigation using formal spatial ontology
SC'04 Proceedings of the 4th international conference on Spatial Cognition: reasoning, Action, Interaction
Treemap: an O(log n) algorithm for simultaneous localization and mapping
SC'04 Proceedings of the 4th international conference on Spatial Cognition: reasoning, Action, Interaction
Online semantic mapping of urban environments
SC'12 Proceedings of the 2012 international conference on Spatial Cognition VIII
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Non-intuitive styles of interaction between humans and mobile robots still constitute a major barrier to the wider application and acceptance of mobile robot technology. More natural interaction can only be achieved if ways are found of bridging the gap between the forms of spatialkno wledge maintained by such robots and the forms of language used by humans to communicate such knowledge. In this paper, we present the beginnings of a computational model for representing spatialkno wledge that is appropriate for interaction between humans and mobile robots. Work on spatial reference in human-human communication has established a range of reference systems adopted when referring to objects; we show the extent to which these strategies transfer to the human-robot situation and touch upon the problem of differing perceptual systems. Our results were obtained within an implemented kernel system which permitted the performance of experiments with human test subjects interacting with the system. We show how the results of the experiments can be used to improve the adequacy and the coverage of the system, and highlight necessary directions for future research.