Abstract
User modeling is traditionally about constructing an explicit representation of the user. We argue against such approach because it overlooks the real nature of the human brain: plasticity and absence of monolithic control. Instead, we suggest to focus not on the modeling of the primary mechanism that explains a user’s response but on the mechanisms through which technology can mediate as complex information as subjective responses. Indeed the only way two persons can reach mutual understanding over such responses is social interaction.
We propose a novel architecture based on three main components: (1) an elaborate sensory(-motor) apparatus, (2) a dynamical memory and (3) an active interface with turn-taking capability. It supports the interactive emergence of a common symbolic language through which user and system can share subjective responses over visual perceptions. We assert that while the “user model” is not explicitly constructed, it reveals in the interactive dialog between the user and the machine.
The research presented in this paper was partially supported by the Science and Technology Agency of Japan, the Ministry of Education, the Ministry of Trade and Industry of Japan and the European Community.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Ballard, D., Hayhoe, M., and Pelz, J. (1995). Memory representations in natural tasks. Journal of Cognitive Neuroscience 66–80.
Bianchi-Berthouze, N., Berthouze, L., and Kato, T. (1998). Towards a comprehensive integration of subjective parameters in database browsing. In Kambayashi, Y., Makinouchi, A., Uemura, S., Tanaka, K., and Masunaga, Y., eds., Advanced Database Systems for Integration of Media and User Environments, 227–232. World Scientific: Singapore.
Bianchi, N., Mussio, P., Padula, M., and Rinaldi, G. R. (1996). Multimedia document management: An anthropocentric approach. Information Processing and Management 32(3):287–304.
Biocca, F. (1997). The cyborg’s dilemma: Embodiment in virtual environments. In Marsh, J., Nehaniv, C., and Gorayska, B., eds., Cognitive Technology, 12–26. IEEE Computer Society.
Brooks, R. A., Brezeal, C., Marjanovic, M., Scassellati, B., and Williamson, M. M. (1998). The cog project: Building a humanoid robot. In Proceedings of the First International Workshop on Humanoid and Human Friendly Robotics, Tsukuba, Japan, 1–36.
Brooks, R. (1991). Intelligence without reason. Artificial Intelligence Journal 47:139–160.
Del-Bimbo, A., Mugnaini, M., Pala, P., and Turco, F. (1998). Visual querying by color perceptive regions. Pattern Recognition 31(9): 1241–1253.
Frijda, N. H., and Swagerman, J. (1987). Can computers feel ? theory and design of an emotional system. Cognition and Emotion 1(3):235–257.
Gazzaniga, M. S., and Ledoux, J. E. (1978). The Integrated Mind. New York: Plenum Press.
Gorayska, B., Marsh, J., and Mey, J. L. (1997). Putting the horse before the cart: Formulating and exploring methods for studying cognitive technology. In Marsh, J., Nehaniv, C., and Gorayska, B., eds., Cognitive Technology, 2–9. IEEE Computer Society.
Haralick, R. M., Shanmugan, K., and Dinstein, I. (1973). Texture features for image classification. IEEE Transactions Systems, Man and Cybernetics 3:610–621.
Hebb, D. O. (1991). The Made-Up Minds: A Constructivist Approach to Artificial Intelligence. Cambridge, MA: MIT Press.
Hopfield, J. J. (1982). Neural networks and physical systems with emergent collective computational abilities. In Proceedings of the National Academy of Sciences, USA, volume 81, 3088–3092.
Kato, T. (1996a). Cognitive user interface to cyber space database: — human media technology for global information infrastructure. In Proceedings of the International Symposium on Cooperative Database Systems for Advanced Applications, Kyoto, Japan, 184–190.
Kato, T. (1996b). Implicit aspects of human learning and memory. In Proceedings of the International Workshop on Robot and Human Communication, RoMan’96, Tsukuba, Japan, 9–15. IEEE Press.
Kirsh, R. (1971). Computer determination of the constituent structure of biomedical images. Computers and Biomedical Research 4(3):315–328.
Kitajima, M., and Don-Han, K. (1998). Communicating kansei design concept via artifacts: A cognitive scientific approach. In Proceedings of the International Workshop on Robot and Human Communication, RoMan’98, Hakamatsu, Japan, 321–326. IEEE Press.
Lee, S., and Harada, A. (1998). A design approach by objective and subjective evaluation of kansei information. In Proceedings of the International Workshop on Robot and Human Communication, RoMan’98, Hakamatsu, Japan, 327–332. IEEE Press.
Li, Z., Zaiane, O. R., and Yan, B. (1998). C-bird: Content-based image retrieval from digital libraries using illumination invariance and recognition kernel. In Wagner, R. R., ed., Proceedings of the Ninth International Workshop on Database and Expert Systems Applications, Vienna, Austria, 361–366. IEEE Computer Society Press.
Maetama, S., Yuta, S., and Harada, A. (1998). Mobile robot in the remote museum for modeling the evaluation structure of kansei. In Proceedings of the International Workshop on Robot and Human Communication, RoMan’98, Hakamatsu, Japan, 315–320. IEEE Press.
Miyake, N. (1997). Making internal process external for constructive collaboration. In Marsh, J., Nehaniv, C., and Gorayska, B., eds., Cognitive Technology, 119–123. IEEE Computer Society.
Niblack, W., Barber, R., Equitz, W., Flickner, M., Glasman, E., Petkovic, D., Yanker, P., Faloutsos, C., and Taubin, G. (1996). The qbic project: Querying images by content using color, texture and shape. Technical Report Research Report 9203, IBM Research Division.
Rybak, I. A., Gusakova, V. I., Golovan, A. V, Podladchikova, L. N., and Shevtsova, N. A. (1998). A model of attention-guided visual perception and recognition. Vision Research 38:2387–2400.
Saracevic, T., Spink, A., and Wu, M. (1997). Users and intermediaries in information retrieval: What are they talking about. In Jameson, A., Paris, C., and Tasso, C., eds., User Modeling: Proceedings of the Sixth International Conference, UM’97, Sardinia, 43–54. Springer Wien New York.
Sato, T. (1996). Expressive robot with touching behavior. Private communication.
Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology 18:643–662.
Tanguy, L. (1997). Computer-aided language processing. In Marsh, J., Nehaniv, C., and Gorayska, B., eds., Cognitive Technology, 136–145. IEEE Computer Society.
Tsuda, I., Koerner, E., and Shimizu, H. (1987). Memory dynamics in asynchronous neural networks. Progress of Theoretical Physics 78(1):51–71.
Weiskrantz, L. (1986). Blindsight: A Case Study and Implications. Oxford: Clarendon Press.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer Science+Business Media New York
About this paper
Cite this paper
Bianchi-Berthouze, N., Berthouze, L., Kato, T. (1999). Understanding Subjectivity: An Interactionist View. In: Kay, J. (eds) UM99 User Modeling. CISM International Centre for Mechanical Sciences, vol 407. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2490-1_1
Download citation
DOI: https://doi.org/10.1007/978-3-7091-2490-1_1
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83151-9
Online ISBN: 978-3-7091-2490-1
eBook Packages: Springer Book Archive