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检索条件"任意字段=22nd International Workshop on Intelligent and Personalized Human-Computer Interaction, ABIS 2016"

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Proceedings abis 2016 - 22nd international workshop on intelligent and personalized human-computer interaction

Proceedings ABIS 2016 - 22nd International Workshop on Intel...

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22nd international workshop on intelligent and personalized human-computer interaction, abis 2016

The proceedings contain 5 papers. The topics discussed include: analyzing hand therapy success in a web-based therapy system;modeling age-related differences in information search;learning special input methods with personalized game applications;solving tourist trip design problems from a user’s perspective;and customized UI development through context-sensitive GUI patterns.

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Learning special input methods with personalized game applications 22

Learning special input methods with personalized game applic...

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22nd international workshop on intelligent and personalized human-computer interaction, abis 2016

作者： Neumayr, Thomas Augstein, Mirjam Vrecer, Stephan Kurschl, Werner Altmann, Josef Research and Development University of Applied Sciences Upper Austria Austria Communication and Knowledge Media University of Applied Sciences Upper Austria Austria Human-Centered Computing University of Applied Sciences Upper Austria Austria

Personalization in interactive systems can take a variety of appearances, e.g., in the form of individually tailored content presentation, adaptive navigation concepts or layouts. It has been discussed in a number of domains such as e-learning, search or information retrieval and has become an important aspect also in the general context of human-computer interaction. The presented project focuses on the personalization of the interaction process itself. It provides a user modelling framework with emphasis on users’ interaction abilities and an infrastructure for i) the personalized and automated selection and configuration of input devices as well as ii) the individually tailored process of interaction with the applications using the framework. This short paper outlines the process of and relations among interaction modeling, further individual training of interaction abilities and personalized application configuration using the example of two simple games that make use of the framework. © 2016 Proceedings abis 2016 - 22nd international workshop on intelligent and personalized human-computer interaction. All rights reserved.

关键词： human computer interaction

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Analyzing hand therapy success in a web-based therapy system 22

Analyzing hand therapy success in a web-based therapy system

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22nd international workshop on intelligent and personalized human-computer interaction, abis 2016

作者： Elnaggar, Ahmed Reichardt, Dirk Intelligent Interaction Lab Computer Science Department DHBW Stuttgart Germany

After an injury, hand therapy should help regaining the full functionality of the hand, wrist and fingers. The application we developed helps a therapist in tracking the success of the therapy. Using the Leap Motion device as a basis, we calculate the individual finger joint angles. A second subsystem measures the angles between the fingers. This data is used to derive a report on the fingers‘adduction and abduction during the therapy. The third subsystem detects the wrist rotation angles. Three algorithms were designed to detect the patient hand data, which the system feeds it to the three subsystems, the final algorithm max average error is 5.6 degrees, while the average max error is 9.3 degrees. The web-based system is part of a therapy support system, which allows patients to do their exercise at home and record their individual success. © 2016 Proceedings abis 2016 - 22nd international workshop on intelligent and personalized human-computer interaction. All rights reserved.

关键词： Patient treatment

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DUBMOD′'13-international workshop on Data-driven User Behavioral Modelling and Mining from Social Media 13

DUBMOD′'13-International Workshop on Data-driven User Behav...

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22nd ACM international Conference on Information and Knowledge Management (CIKM)

作者： Mahmud, Jalal Nichols, Jeffrey Zhou, Michelle Caverlee, James O'Donovan, John IBM Res Almaden 650 Harry Rd San Jose CA 95120 USA Texas A&M Univ College Stn TX USA Univ Calif Santa Barbara Santa Barbara CA 93106 USA

ISBN: (纸本)9781450322638

Massive amounts of data are being generated on social media sites, such as Twitter and Facebook. These data can be used to better understand people (e.g., personality traits, perceptions, and preferences) and predict their behavior. As a result, a deeper understanding of users and their behavior can benefit a wide range of intelligent applications, such as advertising, social recommender systems, and personalized knowledge management. These applications will also benefit individual users themselves and optimize their experience across a wide variety of domains, such as retail, healthcare, and education. Since mining and understanding user behavior from social media often requires interdisciplinary effort, including machine learning, text mining, human-computer interaction, and social science, our workshop aims to bring together researchers and practitioners from multiple fields to discuss the creation of deeper models of individual users by mining the content that they publish and the social networking behavior that they exhibit.

关键词： User Modeling Social Media Analysis Data-driven

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