Author
Jaana Simola
Other affiliations: Aalto University, University of Paris, Paris Descartes University ...read more
Bio: Jaana Simola is an academic researcher from University of Helsinki. The author has contributed to research in topics: Eye movement & Mismatch negativity. The author has an hindex of 16, co-authored 26 publications receiving 1244 citations. Previous affiliations of Jaana Simola include Aalto University & University of Paris.
Papers
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TL;DR: These results provide the first demonstration of the presence of memory traces for individual spoken words in the human brain, using whole-head magnetoencephalography.
296 citations
TL;DR: The results demonstrate that preattentive processing of auditory stimuli extends to unexpectedly complex relationships between the stimulus features.
Abstract: Brain mechanisms extracting invariant information from varying auditory inputs were studied using the mismatch-negativity (MMN) brain response. We wished to determine whether the preattentive sound-analysis mechanisms, reflected by MMN, are capable of extracting invariant relationships based on abstract conjunctions between two sound features. The standard stimuli varied over a large range in frequency and intensity dimensions following the rule that the higher the frequency, the louder the intensity. The occasional deviant stimuli violated this frequency-intensity relationship and elicited an MMN. The results demonstrate that preattentive processing of auditory stimuli extends to unexpectedly complex relationships between the stimulus features.
146 citations
TL;DR: In this paper, the impact of animation and ad format on the attention and memorization of online ads was examined based on a general framework of consumer perception and processing of advertising, and the results suggest that on average, animation had little or no effect on attention.
123 citations
TL;DR: The results show that eye movements contain necessary information for determining the task type, and the dHMM predicted the task for test data with 60.2% accuracy (pure chance 33.3%).
114 citations
15 Aug 2005
TL;DR: The best prediction accuracy still leaves room for improvement but shows that proactive information retrieval and combination of many sources of relevance feedback is feasible.
Abstract: We study a new task, proactive information retrieval by combining implicit relevance feedback and collaborative filtering. We have constructed a controlled experimental setting, a prototype application, in which the users try to find interesting scientific articles by browsing their titles. Implicit feedback is inferred from eye movement signals, with discriminative hidden Markov models estimated from existing data in which explicit relevance feedback is available. Collaborative filtering is carried out using the User Rating Profile model, a state-of-the-art probabilistic latent variable model, computed using Markov Chain Monte Carlo techniques. For new document titles the prediction accuracy with eye movements, collaborative filtering, and their combination was significantly better than by chance. The best prediction accuracy still leaves room for improvement but shows that proactive information retrieval and combination of many sources of relevance feedback is feasible.
97 citations
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3,248 citations
TL;DR: The mismatch negativity (MMN) enables one to establish the brain processes underlying the initiation of attention switch to, conscious perception of, sound change in an unattended stimulus stream.
2,104 citations
01 Jan 2007
TL;DR: In this article, the basic research using the mismatch negativity (MMN) and analogous results obtained by using the magnetoencephalography (MEG) and other brain-imaging technologies is reviewed.
Abstract: In the present article, the basic research using the mismatch negativity (MMN) and analogous results obtained by using the magnetoencephalography (MEG) and other brain-imaging technologies is reviewed. This response is elicited by any discriminable change in auditory stimulation but recent studies extended the notion of the MMN even to higher-order cognitive processes such as those involving grammar and semantic meaning. Moreover, MMN data also show the presence of automatic intelligent processes such as stimulus anticipation at the level of auditory cortex. In addition, the MMN enables one to establish the brain processes underlying the initiation of attention switch to, conscious perception of, sound change in an unattended stimulus stream. 2007 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.
1,994 citations
15 Aug 2005
TL;DR: It is concluded that clicks are informative but biased, and while this makes the interpretation of clicks as absolute relevance judgments difficult, it is shown that relative preferences derived from clicks are reasonably accurate on average.
Abstract: This paper examines the reliability of implicit feedback generated from clickthrough data in WWW search. Analyzing the users' decision process using eyetracking and comparing implicit feedback against manual relevance judgments, we conclude that clicks are informative but biased. While this makes the interpretation of clicks as absolute relevance judgments difficult, we show that relative preferences derived from clicks are reasonably accurate on average.
1,484 citations
TL;DR: A review of studies that focus on neuronal mechanisms underlying the MMN generation, discusses the two major explanatory hypotheses, and proposes predictive coding as a general framework that attempts to unify both.
1,114 citations