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Exploring the potential of neurophysiological measures for user-adaptive visualization

Author: Tak, S. · Brouwer, A.M. · Toet, A. · Erp, J.B.F. van
Type:article
Date:2013
Source:Santos, O.C.Lops, P.Berkovsky, S.Herder, E., 21st Conference on User Modeling, Adaptation, and Personalization. (CEUR Workshop)Rome, Italy, June 10-14, 2013. WUAV 2013: User-Adaptive Visualization
Identifier: 475643
Keywords: User interfaces · Visualization · User adaptation · Neurophysiology · Data visualization · Eye movements · Flow visualization · Neurophysiology · System reliability · User characteristics · User personalities · Visual scanning · Behavioral research · Information Society · Human · PCS - Perceptual and Cognitive Systems · BSS - Behavioural and Societal Sciences

Abstract

User-adaptive visualization aims to adapt visualized information to the needs and characteristics of the individual user. Current approaches deploy user personality factors, user behavior and preferences, and visual scanning behavior to achieve this goal. We argue that neurophysiological data provide valuable additional input for user-adaptive visualization systems since they contain a wealth of objective information about user characteristics. The combination of neurophysiological data with other information like eye movement data can significantly improve system reliability by reducing the inherent uncertainty in the interpretation of the user data. Moreover, neurophysiological data can be obtained continuously and unobtrusively without disturbing the interaction of the user with the system