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The sensitive interface

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Abstract

One of the most important problems in human-computer interaction is that of maximising communication between the user and the computer. We claim that optimum communication will be facilitated when the computer can analyse and respond to the intentions of the computer user. We propose a philosophy for computer interface design in which the computer analyses the intentions of users through verbal and nonverbal media. With respect to verbal media we describe a computer program called Operating System CONsultant (OSCON) which can analyse users' intentions from English in the domain of computer operating systems. With respect to nonverbal media we argue that computers will be better able to analyse people's intentions when recognising the media of facial expression, touch, and sound. Some results and implications from a recent experiment on cross-cultural emotions in faces are discussed. We describe the IDIOMS (Intelligent Decision-making In On-line Management Systems) project which implements a design philosophy for capturing users' concepts and intentions. We argue that this approach will ensure the computers will become more understanding of their users and this will result in a more sensitive human-computer interface.

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References

  • Allen, James F. (1983). Recognising Intentions from Natural Language Utterances. In Brady, M. & Berwick, R. C. (eds.) Computational Models of Discourse, 107–166. MIT Press: Cambridge, MA.

    Google Scholar 

  • Alshawi, Hiyan (1987). Memory and Context for Language Interpretation. Cambridge University Press: Cambridge, United Kingdom.

    Google Scholar 

  • Appelt, Douglas E. (1981). Planning Natural-language Utterances to Satisfy Multiple Goals. Technical Note 259, SRI International, 333 Ravenswood Avenue, Menlo Park, California 94025, U.S.A.

    Google Scholar 

  • Appelt, Douglas E. (1985). Planning English Sentences. Cambridge University Press: Cambridge, United Kingdom.

    Google Scholar 

  • Austin, J. L. (1962). How To Do Things With Words (Second Edition). Urmson, J. O. & Sbisà, Marina (eds.). Harvard University Press: Cambridge, MA.

    Google Scholar 

  • Beardon, Colin (1995). Discourse Structures in Iconic Communication. In Mc Kevitt, Paul (ed.) Artificial Intelligence Review, Special Issue on Integration of Natural Language and Vision Processing 9(2–3): 189–203.

  • Brown, John Seeley, Burton, Richard R. & Bell, Alan G. (1975). SOPHIE: A Step Towards Creating a Reactive Learning Environment. In International Journal of Man-Machine Studies 7: 675–696.

  • Brunelli, R. & Poggio, T. (1993). Face Recognition: Features versus Templates. In IEEE Transactions on Pattern Analysis and Machine Intelligence 15.

  • Burton, R. (1976). Semantic Grammar: An Engineering Technique for Constructing Natural-language Understanding Systems. BBN Report No. 3453, Bolt, Beranek & Newman, Cambridge, MA, U.S.A.

    Google Scholar 

  • Carberry, Sandra (1989). A pragmatics-based Approach to Ellipsis Resolution. In Computational Linguistics 15(2): 75–96 June.

  • Chin, David (1988). Exploiting User Expertise in Answer Expression. In Proceedings of The Seventh National American Conference on Artificial Intelligence (AAAI-88) 2: 756–760, St. Paul, Minnesota, U.S.A., August.

  • Cohen, Phil R., Perrault, C. Raymond & Allen, James F. (1982). Beyond Question Answering. In Lehnert, Wendy G. & Ringle, Martin H. (eds.) Strategies for Natural Language Processing, 245–274. Lawrence Erlbaum Associates: Hillsdale, New Jersey.

    Google Scholar 

  • Collen, A., Minati, G. & Ciapessoni, E. (1994). Logical Openness in Systems. In Systems Research 11(2): 65–72.

  • Computer Weekly (1995). Computer Weekly 13: June, p. 40.

  • Cytowic, R.E. (1992). The Man Who Tasted Shapes. Abacus: London, England.

    Google Scholar 

  • Dale, Robert (1988). The Generation of Subsequent Referring Expressions in Structured Discourses. In Zock, M. & Sabah, Gérard (eds.) Advances in Natural Language Generation, An Interdisciplinary Perspective, Communication in Artificial Intelligence Series 58–75. Pinter Publishers: London.

    Google Scholar 

  • Dale, Robert (1989). Cooking Up Reference Expressions. In Proceedings of the 27th Annual Meeting of the Association for Computational Linguistics 68–75. University of British Columbia, Vancouver, British Columbia, Canada, June.

    Google Scholar 

  • Darwin, Charles (1872). The Expression of the Emotions in Man and Animals. Chicago University Press: Chicago, Illinois.

    Google Scholar 

  • Davidson, C. (1993). Visions of the Future. The Guardian, England, Sep. 9.

  • Delvolvé, N. & Queinnec, Y. (1983). Operators' Activities at Terminals: A Behavioural Approach. In Ergonomics. 26: 329–346.

  • Eibl-Eibesfeldt, I. (1972) Similarities and Differences between Cultures in Expressive Movements. In Hinde, R. A. (ed.) Nonverbal Communication. CUP: Cambridge.

    Google Scholar 

  • Ekman, P. (1993). Facial Expression and Emotion. 1992 Award Address. In American Psychologist, April, 384–392.

  • Fass, Dan (1988). Collative Semantics: A Semantics for Natural-language Processing. Ph.D. Dissertation, Department of Computer Science, University of Essex. Also, as Memorandum in Computer and cognitive Science, MCCS-88-118, Computing Research Laboratory, Dept. 3CRL, Box 30001, New Mexico State University, Las Cruces, NM 88003-0001, U.S.A.

  • Fogarty, T. C., Ireson, N. S. & Battle, S. A. (1992). Generating Combinations of Attributes and Categories of Nominal Attribute Values for a Bayesian Classifier for Credit Control. In Proceedings of Institute of Mathematics and Applications (IMA) International Conference on Control: Modelling, Computation, Information. Glasgow Polytechnic, Glasgow.

    Google Scholar 

  • Fowler, C. J. H. & Murray, D. (1987). Gender and Cognitive Style: Differences at the Human-computer Interface. In Bullinger, H. J. & Shackel, B. (eds.) Human-Computer Interaction-INTERACT '87. Elsevier Science Publications B.V./North-Holland: Amsterdam.

    Google Scholar 

  • Gammack, J. G., Battle, S. A & Stephens, R. A. (1989). A Knowledge Acquisition and Representation Scheme for Constraint Based and Parallel Systems. In Proceedings of The IEEE Conference on Systems Man and cybernetics, Hyatt Regency Hotel, Cambridge, Massachusetts, 1030–1035.

  • Gammack, J. G., Fogarty, T. C., Battle, S. A. & Miles, R. G. (1991). Management Decision Support from Large Databases: The IDIOMS Project. In Proceedings of The Association of Modelling and Simulation Enterprises (AMSE) International Conference on Signals and Systems, Institute of Transport, Warsaw, Poland, 213–219.

  • Gammack, J. G., Fogarty, T. C., Battle, S. A., Ireson, N. S. & Cui, J. (1992). Human Centred Decision Support: The IDIOMS Project. In AI and Society 6(4): 345–366.

  • Gill, K.S. (1991). Summary of Human-centred Systems Research in Europe. In Systemist 13(1–2), Feb and May.

  • Graves, Gaye L. (1993). This Digital Baby Responds to Coos and Goos. Tech. Watch. Computer Graphics World 16, July.

  • Grosz, Barbara J. (1983). TEAM: A Transportable Natural Language Interface System. In Proceedings of The 1983 Conference on Applied Natural Language Processing, 39–45, Santa Monica, California, U.S.A., February.

  • Grosz, B., Joshi, A. & Weinstein, S. (1983). Providing a Unified Account of Definite Noun Phrases in Discourse. In Proceedings of The 21st Annual Meeting of the Association for Computational Linguistics, 44–50, Cambridge, Massachusetts, U.S.A. Also in Proceedings of The International Joint Conference on Artificial Intelligence, Cambridge, MA.

  • Grosz, B. J. & Sidner, C. L. (1986). Attention, Intentions and the Structure of Discourse. Computational Linguistics 12(3): 175–204.

    Google Scholar 

  • Hecking, M., Kemke, C., Nessen, E., Dengler, D., Gutmann, M. & Hector, G. (1988). The SINIX Consultant—A Progress Report. Memo No. 28, Department of Computer Science, University of Saarbrücken, D-6600 Saarbrücken 11, Germany, European Union (EU), August.

    Google Scholar 

  • Hinkelman, Elizabeth & Allen, James (1989). Two Constraints on Speech Act Ambiguity. In Proceedings of The 27th Annual Meeting of the Association for computational Linguistics, 212–219, University of British Columbia, Vancouver, British Columbia, Canada, June.

    Google Scholar 

  • Hobbs, Jerry (1979). Coherence and Coreference. In Cognitive Science 3(1): 67–90.

  • Kemke, Christel (1986) The SINIX Consultant-Requirements, Design, and Implementation of An Intelligent Help System for a UNIX Derivative. Report No. 11, SC-Project, Department of Computer Science, University of Saarbrücken, Saarbrücken, Germany, European Union (EU), October.

    Google Scholar 

  • Kemke, Christel (1987). Representation of Domain Knowledge in an Intelligent Help System. In Bullinger, H. J. & Shackel, B. (eds.) Human-Computer Interaction—INTERACT '87, 215–220. Elsevier Science Publications B.V./North-Holland: Amsterdam.

    Google Scholar 

  • Kobsa, Alfred & Wahlster, Wolfgang (1988). User Models in Dialog Systems. Springer-Verlag: Berlin.

    Google Scholar 

  • Libet, B. (1985). Unconscious Cerebral Initiative and the Role of Conscious Will in Voluntary Action. In Behavioural and Brain Sciences 8(4): 529–539.

  • Litman, Diane & Allen, James (1984). A Plan Recognition Model for Clarification Subdialogues. In Proceedings of The COLING-84, 302–311.

  • Maes, P. & Nardi, D. (1987). Meta-level Architecture and Reflection. North Holland: Amsterdam.

    Google Scholar 

  • Maruyama, M. (1986). Toward Picture-coded Information Systems. In Futures, June, 450–452.

  • Mc Kevitt, Paul (1986). Object and Action Frames for Transfer Semantics. Memorandum in Computer and cognitive Science, MCCS-86–69, Computing Research Laboratory, Dept. 3CRL, Box 30001, New Mexico State University, Las Cruces, NM 88003–0001, U.S.A.

    Google Scholar 

  • Mc Kevitt, Paul (1988). Artificial Communicators: An Operating System Consultant. Master's Thesis, Computer Science Department, Dept. 3CU, Box 30001, New Mexico State University, Las Cruces, New Mexico 88003-0001, U.S.A, March.

  • Mc Kevitt, Paul (1991a). Principles and Practice in an Operating System Consultant. In Partridge, Derek (ed.) Artificial Intelligence and Software Engineering 1, Chapter on ‘AI Mechanisms and Techniques in Practical Software’. Ablex Publishing Corporation: New York.

    Google Scholar 

  • Mc Kevitt, Paul (1991b). Analysing Coherence of Intention in Natural Language Dialogue. Ph.D. Thesis, Department of Computer Science, University of Exeter, GB-EX4 4PT, U.K., EU.

  • Mc Kevitt, Paul & Wilks, Yorick (1987). Transfer Semantics in an Operating System Consultant: The Formalization of Actions involving Object Transfer. In Proceedings of The Tenth International Joint Conference on Artificial Intelligence (IJCAI-87) 1: 569–575. Milan, Italy, European community (EC), August.

    Google Scholar 

  • Mc Kevitt, P., Partridge, D. & Wilks, Y. (1992a). Approaches to Natural Language Discourse Processing. Technical Report 227, Department of Computer Science, University of Exeter, GB-EX4 4PT, England, EU.

    Google Scholar 

  • Mc Kevitt, P., Partridge, D. & Wilks, Y. (1992b). Analysing Coherence of Intention in Natural Language Dialogue. Technical Report, Department of Computer Science, University of Exeter, GB-EX4 4PT, Exeter, England, EU.

    Google Scholar 

  • Mc Kevitt, P., Partridge, D. & Wilks, Y. (1992c). Why Machines Should Analyse Intention in Naturallanguage Dialogue. Technical Report 233, Department of Computer Science, University of Exeter, GB-EX4 4PT, Exeter, England, EU.

    Google Scholar 

  • Mc Kevitt, P., Partridge, D. & Wilks, Y. (1992d). Experimenting with Intention in Natural-language Dialogue. Technical Report 234, Department of Computer Science, University of Exeter, GB-EX4 4PT, Exeter, England, EU.

    Google Scholar 

  • Normile, D. & Barnes-Svarney, P. (1993). Hold that Thought: Computers Read Minds. In Popular Science, June, p. 51.

  • Oates, T. & Gammack, J. G. (1992). Generating Knowledge for Expert Systems from Data-bases. In Presentation at the Association of Modelling and Simulation Enterprises (AMSE) International Conference on Modelling, Simulation and Control, Hefei, China, October.

  • Pentland, Alex (ed.) (1993). Looking at People: Recognition and Interpretation of Human Action. IJCAI-93 Workshop (W28) at The 13th International Conference on Artificial Intelligence (IJCAI-93), Chambéry, France, EU, August.

  • Pereira, Fernando & Warren, David (1980). Definite Clause Grammars for Language Analysis—A Survey of the Formalism and a Comparison with Augmented Transition Networks. Artificial Intelligence 13: 231–278.

    Google Scholar 

  • Radin, D. I. (1993). Neural Network Analysis of Consciousness Related Patterns in Random Sequences. In Journal of Scientific Exploration 7(4): 355–373.

  • Sanderson, David W. (1993). Smileys. O Reilly & Associates, Inc., Sebastopol, California.

    Google Scholar 

  • Sealre, John R. (1969). Speech Acts: An Essay in the Philosophy of Language. Cambridge University Press: London.

    Google Scholar 

  • Schank, Roger C. (1972). Conceptual Dependency: A Theory of Natural Language Understanding. In Cognitive Psychology 3(4): 552–631.

  • Schank, Roger C. (1973). Identification and Conceptualizations Underlying Natural Language. In Schank, R. & Kolby, K. (eds.) Computer Models of Thought and Language. W. H. Freeman and Co.: San Francisco, CA.

    Google Scholar 

  • Schank, Roger C. (1975). Conceptual Information Processing. Fundamental Studies in Computer Science 3. North-Holland: Amsterdam.

    Google Scholar 

  • Schank, Roger C. & Abelson, Robert P. (1977). Scripts, Plans, Goals and Understanding: An Inquiry into Human Knowledge Structures. Lawrence Erlbaum Associates, Hillsdale, NJ.

    Google Scholar 

  • Sheehy, N. P., Chapman, A. J. & Forrest, M. A. (1987). Communication Failure in Dialogue: Non-verbal Behaviour at the User Interface. In Megaw, E. D. (ed.) Contemporary Ergonomics. Proc. Ergonomic Society's 1987 Annual Conference. Taylor and Francis: London.

    Google Scholar 

  • Sidner, Candace L. (1983). What the Speaker Means: The Recognition of Speakers' Plans in Discourse. In International Journal of Computers and Mathematics, Special Issue in Computational Linguistics 9(1): 71–82.

  • Sidner, Candice L. (1985). Plan Parsing for Intended Response Recognition in Discourse. Computational Intelligence 1(1): 1–10, February.

    Google Scholar 

  • Suchman, Lucy (1987). Plans and Situated Actions: The Problem of Human-machine Communication. Cambridge University Press: Cambridge, United Kingdom.

    Google Scholar 

  • Tao, Li (1989). How To Read Faces. Hamlyn: London.

    Google Scholar 

  • von Bertalanffy, L. (1950). The Theory of Open Systems in Physics and Biology. In Science 3, Jan. 13th.

  • Wang, Z.-M. (1993). Editorial: Strategies for Ergonomics in Developing Countries. Ergonomics 36: 597–599.

    Google Scholar 

  • Wang, Z.-M. & Gammack, J. G. (1995). Faces and Interfaces: Towards the Computer Mediated Communication of Affect. Technical Report, Department of Computing and Information Systems, University of Paisley, Paisley, Scotland.

    Google Scholar 

  • Webber, Bonnie (1978). A Formal Approach to Discourse Anaphora. Doctoral Dissertation. Also in, BBN Report No. 3761, Bolt, Beranek & Newman, Cambridge, MA, U.S.A.

  • Wilensky, Robert (1983). Planning and Understanding. Addison-Wesley: Reading, MA.

    Google Scholar 

  • Wilensky, R., Arens, Y. & Chin, D. (1984). Talking to UNIX in English: An Overview of UC. Communications of the ACM 27(6): 574–593, June.

    Google Scholar 

  • Wilensky, R., Mayfield, J., Albert, A., Chin, D., Dox, C., Luria, M., Martin, J. & Wu, D. (1986). UC—A Progress Report. Report No. UCB/CSD 87/303, Computer Science Division (EECS), University of California, Berkeley, California 94720, U.S.A., July.

    Google Scholar 

  • Wilensky, R., Chin, D. N., Luria, M., Martin, J., Mayfield, J. & Wu, D. (1988). The Berkeley UNIX Consultant Project. Computational Linguistics 14(4): 35–84, December.

    Google Scholar 

  • Wilks, Yorick (1973). An Artificial Intelligence Approach to Machine Translation. In Schank, R. & Kolby, K. (eds.) Computer Models of Thought and Language. Wh Freeman and Co., San Francisco, CA.

    Google Scholar 

  • Wilks, Yorick (1975a). Preference Semantics. In Edward, Keenan (ed.) Formal Semantics of Natural Language. Cambridge University Press: Cambridge, United Kingdom. Also as, Memo AIM-206, Artificial Intelligence Laboratory, Stanford University, Stanford, California, U.S.A., July 1973.

    Google Scholar 

  • Wilks, Yorick (1975b). An Intelligent Analyzer and Understander of English. Communications of the ACM, 18(5): 264–274, May. Also in Grosz. B., Jones, K. S. & Webber, B. (eds.) Readings in Natural Language Processing, 193–204. Morgan Kaufmann, 1986: Los Altos, California.

    Google Scholar 

  • Wilks, Yorick (1975c) A Preferential, Pattern-seeking Semantics for Natural Language Inference. Artificial Intelligence 6: 53–74.

    Google Scholar 

  • Winograd, Terry & Flores, Fernando (1986). Understanding Computers and Cognition: A New Foundation for Design. Ablex Publishing Corporation: Norwood, New Jersey.

    Google Scholar 

  • Yazdani, Masoud & Mealing, Stuart (1995). Communicating Through Pictures. In Mc Kevitt, Paul (ed.) Artificial Intelligence Review, Special Issue on Integration of Natural Language and Vision Processing 9(2–3): 205–213.

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MC Kevitt, P., Gammack, J.G. The sensitive interface. Artif Intell Rev 10, 275–298 (1996). https://doi.org/10.1007/BF00127683

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