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Query: sosnovsky_s* Results: 9 Sorted by: Date  Comments?
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[1] An Interactive Pedestrian Environment Simulator for Cognitive Monitoring and Evaluation Poster & Demo Session / Orlosky, Jason / Weber, Markus / Gu, Yecheng / Sonntag, Daniel / Sosnovsky, Sergey Companion Proceedings of the 2015 International Conference on Intelligent User Interfaces 2015-03-29 v.2 p.57-60
ACM Digital Library Link
Summary: Recent advances in virtual and augmented reality have led to the development of a number of simulations for different applications. In particular, simulations for monitoring, evaluation, training, and education have started to emerge for the consumer market due to the availability and affordability of immersive display technology. In this work, we introduce a virtual reality environment that provides an immersive traffic simulation designed to observe behavior and monitor relevant skills and abilities of pedestrians who may be at risk, such as elderly persons with cognitive impairments. The system provides basic reactive functionality, such as display of navigation instructions and notifications of dangerous obstacles during navigation tasks. Methods for interaction using hand and arm gestures are also implemented to allow users explore the environment in a more natural manner.

[2] Recognition of student intentions in a virtual reality training environment Doctoral consortiums / Gu, Yecheng / Sosnovsky, Sergey Companion Proceedings of the 2014 International Conference on Intelligent User Interfaces 2014-02-24 v.2 p.69-72
ACM Digital Library Link
Summary: This paper introduces a novel method for detecting and modeling intentions of students performing training tasks in a Virtual Reality (VR) environment enhanced with intelligent tutoring capabilities. Our VR-setup provides students with an immersive user interface, but produces noisy and low-level input, from which we need to recognize higher-level cognitive information about the student. The complexity of this task is amplified by the requirements of the target domain (child pedestrian safety), where students need to train complex skills in dynamic settings. We present an approach for this task, which combines the logic-based Event Calculus (EC) and probabilistic modeling.

[3] Addictive links: the motivational value of adaptive link annotation / Brusilovsky, Peter / Sosnovsky, Sergey / Yudelson, Michael New Review of Hypermedia and Multimedia 2009 v.15 n.1 p.97-118
Link to Article at informaworld
Summary: Adaptive link annotation is a popular adaptive navigation support technology. Empirical studies of adaptive annotation in the educational context have demonstrated that it can help students to acquire knowledge faster, improve learning outcomes, reduce navigational overhead, and encourage non-sequential navigation. In this paper, we present our exploration of a lesser known effect of adaptive annotation, its ability to significantly increase students' motivation to work with non-mandatory educational content. We explored this effect and confirmed its significance in the context of two different adaptive hypermedia systems. The paper presents and discusses the results of our work.

[4] EDITED BOOK Advances in Ubiquitous User Modelling: Revised Selected Papers Lecture Notes in Computer Science 5830 / Kuflik, Tsvi / Berkovsky, Shlomo / Carmagnola, Francesca / Heckmann, Dominikus / Krüger, Antonio 2009 n.8 p.158 Springer Berlin Heidelberg
DOI: 10.1007/978-3-642-05039-8
ISBN: 978-3-642-05038-1 (print), 978-3-642-05039-8 (online)
Link to Digital Content at Springer
Addressing Challenges of Ubiquitous User Modeling: Between Mediation and Semantic Integration (1-19)
	+ Berkovsky, Shlomo
	+ Heckmann, Dominikus
	+ Kuflik, Tsvi
Handling Semantic Heterogeneity in Interoperable Distributed User Models (20-36)
	+ Carmagnola, Francesca
A Model for Feature-Based User Model Interoperability on the Web (37-54)
	+ Cena, Federica
	+ Furnari, Roberto
Open Policies for Decentralized User Modeling in Online Communities (55-72)
	+ Muhammad, Tariq
	+ Vassileva, Julita
Automatic Generation of Semantic Metadata as Basis for User Modeling and Adaptation (73-93)
	+ van der Sluijs, Kees
	+ Houben, Geert-Jan
AUGUR: Interface Adaptation for Small Screen Devices (94-110)
	+ Hartmann, Melanie
	+ Schreiber, Daniel
User Modeling for Pedestrian Navigation Services (111-133)
	+ Kikiras, Panayotis
	+ Tsetsos, Vassileios
	+ et al
Semantic Integration of Adaptive Educational Systems (134-158)
	+ Sosnovsky, Sergey
	+ Brusilovsky, Peter
	+ et al

[5] Re-assessing the Value of Adaptive Navigation Support in E-Learning Context Full Papers / Sosnovsky, Sergey / Brusilovsky, Peter / Lee, Danielle H. / Zadorozhny, Vladimir / Zhou, Xin Proceedings of AH 2008 Adaptive Hypermedia and Adaptive Web-based Systems 2008-07-29 p.193-203
Link to Digital Content at Springer
Summary: In a recent study, we discovered a new effect of adaptive navigation support in the context of E-learning: the ability to motivate students to work more with non-mandatory educational content. The results presented in this paper extend the limits of our earlier findings. We describe the implementation of adaptive navigation support for the SQL domain, and report the results of the classroom evaluation of our approach. Among other issues, we investigate whether the use in parallel of two different types of navigation support could change the nature or the magnitude of the previously observed effect. Our study confirms the motivational value of navigation support in the new domain. We observe the increase of this effect after adding the concept-based navigation layer to the existing topic-based adaptive navigation service. The results of the navigational pattern analysis allow us to determine the major source of this increase.

[6] Addictive Links: The Motivational Value of Adaptive Link Annotation in Educational Hypermedia Full Papers / Brusilovsky, Peter / Sosnovsky, Sergey / Yudelson, Michael Proceedings of AH 2006 Adaptive Hypermedia and Adaptive Web-based Systems 2006-06-21 p.51-60
Link to Digital Content at Springer
Summary: Adaptive link annotation is a popular adaptive navigation support technology. Empirical studies of adaptive annotation in the educational context have demonstrated that it can help students to acquire knowledge faster, improve learning outcome, reduce navigation overhead, and encourage non-sequential navigation. In this paper we present our study of a rather unknown effect of adaptive annotation, its ability to significantly increase student motivation to work with non-mandatory educational content. We explored this effect and confirmed its significance in the context of two different adaptive hypermedia systems. The paper presents and discusses the results of our work.

[7] Adaptive Navigation for Self-assessment Quizzes Doctoral Consortium / Sosnovsky, Sergey Proceedings of AH 2004 Adaptive Hypermedia and Adaptive Web-based Systems 2004-08-23 p.366-371
Link to Digital Content at Springer
Summary: Web-based parameterized quizzes provide teachers and students with several advantages as the technology for self-assessment. However, the effect of these advantages is strongly reduced, if a student does not receive enough support and cannot see her/his progress during the course. We have developed the system QuizGuide, which attempts to solve this problem by navigating students through the quiz material of the course in adaptive way. Architecture, interface and plans of future system development are described here. The paper also presents first results of system evaluation.

[8] User Modeling in a Distributed E-Learning Architecture Student Modeling / Brusilovsky, Peter / Sosnovsky, Sergey / Shcherbinina, Olena Proceedings of User Modeling 2005 2003-07-24 p.387-391
Link to Digital Content at Springer
Summary: This paper is focused on user modeling and adaptation in distributed E-Learning systems. We describe here CUMULATE, a generic student modeling server developed for a distributed E-Learning architecture, KnowledgeTree. We also introduce a specific, topic-based knowledge modeling approach which has been implemented as an inference agent in CUMULATE and used in QuizGuide, an adaptive system that helps students select the most relevant self-assessment quizzes. We also discuss our attempts to evaluate this multi-level student modeling.

[9] The structure and functions of ETS GRAD / Galeev, I. / Tararina, L. / Sosnovsky, S. Proceedings of the Eighth International Conference on Human-Computer Interaction 1999-08-22 v.2 p.682-685