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International Conference on Intelligent Environments (IE)

作者： Jan Alexandersson Maria Aretoulaki Nick Campbell Michael Gardner Andrey Girenko Dietrich Klakow Dimitris Koryzis Volha Petukhova Marcus Specht Dimitris Spiliotopoulos Alexander Stricker Niels Taatgen German Research Centre for Artificial Intelligence GmbH (DFKI) Saarbrücken Germany Interaction Design Lab University of Peloponnese Greece Department of Spoken Language Systems Universität des Saarlandes Saarbrücken Germany Hellenic Parliament Athens Greece Department of Artificial Intelligence University of Groningen Netherlands Teaching and Technology Open University of the Netherlands (OUNL) Trinity College School of Linguistic Speech and Communication Sciences Dublin Ireland DialogConnection Ltd Manchester UK Charamel GmbH Cologne Germany School of Computer Science and Electronic Engineering University of Essex UK

This poster paper presents a high-level description of the Metalogue project that is developing a multi-modal dialogue system that is able to implement interactive behaviors that seem natural to users and is flexible enough to exploit the full potential of multimodal interaction. We provide an outline of the initial work undertaken to define a an open architecture for the integrated Metalogue system. This system includes components that are necessary for the implementation of the processing stages for a variety of application domains: initialization, training, information gathering, orchestration, multimodality, dialogue management, speech recognition, speech synthesis and user modelling.

关键词： Educational institutions computer architecture Speech Artificial intelligence Natural languages Context Training

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Natural interaction expressivity modeling and analysis 13

Natural interaction expressivity modeling and analysis

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6th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2013

作者： Caridakis, George Moutselos, Konstantinos Maglogiannis, Ilias Intelligent Systems Content and Interaction Lab. National Technical University of Athens Greece Dept. of Computer Science and Biomedical Informatics University of Central Greece Greece Department of Digital Systems University of Piraeus Greece Dept. of Cultural Technology University of the Aegean Greece

ISBN: (纸本)9781450319737

Behavior, including non verbal, expressiveness is an integral part of the communication process since it can provide information on the emotional state and the user's performance when the aim of the interaction is measurable. Long term temporal measurements can also assist in monitoring the user for either emergencies or long term mood instabilities. Current article presents research work on the computational formalization and analysis of full body 3D expressivity in Natural (bodily) interaction within the framework of Pervasive Assistance. Expressivity dimensions are selected as the most complete approach to body expressivity modeling, since they cover the entire spectrum of expressivity parameters related to emotion and affect. In this study five expressivity parameters are computationally formalized, using different approaches based on silhouette, limbs position and joints rotation, for each expressivity feature. These approaches are then evaluated in terms of their effectiveness in modeling the expressivity aspect in question. The modeling effectiveness of each approach is assessed using Linear Discriminant Analysis (LDA) and its coefficients on the automatically extracted parameters, defined in the computational formalization, against an experimental dataset consisting of extreme expressions (positive and negative) of the investigated expressivity aspects. The The experimental results confirm that the proposed Fading Silhouette Motion Volumes (FMSV) approach, is the most effective in modeling body expressivity. © 2013 ACM.

关键词： Discriminant analysis

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Picking Favorites: The Influence of Robot Eye-Gaze on interactions with Multiple Users

Picking Favorites: The Influence of Robot Eye-Gaze on Intera...

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Daphne E. Karreman Gilberto U. Sepulveda Bradford Elisabeth M.A.G. van Dijk Manja Lohse Vanessa Evers Human Media Interaction group Department Electrical Engineering Mathematics and Computer Science University of Twente PO Box 217 7500 AE Enschede The Netherlands

ISBN: (纸本)9781467363563

We evaluated the effects of robot gaze behavior on interactions with multiple users in a museum-like setting. We posit that a robot needs to divide its attention between multiple users and may be able to use its gaze to 'point' at objects of interest. A 2 (person-oriented [only looking at participants] vs. object-oriented [also looking at artworks] gaze) × 2 ('favored' [looked at more] vs. 'not favored' [looked at less] by the robot) mixed factorial design (N=57) study was carried out in a museum-like lab setting where a robot talked about two artworks to groups of three participants. Results indicate that 'favored' participants did indeed pay more attention to the robot and the artworks. However, surprisingly they paid more attention when the robot did not look over to the object of interest compared to when it did give this gaze cue. The findings suggest that using an object-oriented gaze as a cue for people to look at an object may not carry across readily from person-to-person to human-robot communication. People had trouble interpreting the cue and were possibly distracted by the robot's movement.

关键词： Multiple Users robot's movement possibly distracted

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Perceptual effects of damped and exaggerated facial motion in animated characters

Perceptual effects of damped and exaggerated facial motion i...

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International Conference on Automatic Face and Gesture Recognition

作者： Jennifer Hyde Elizabeth J. Carter Sara Kiesler Jessica K. Hodgins Computer Science Department Carnegie Mellon University Pittsburgh PA USA Robotics Institute Carnegie Mellon University Pittsburgh PA USA Human Computer Interaction Institute Carnegie Mellon University Pittsburgh PA USA Computer Science Department Robotics Institute Carnegie Mellon University Pittsburgh PA USA

ISBN: (纸本)9781467355452

Common guidelines followed in the animation community include the idea that cartoon characters should be exaggerated to better convey emotion and intent, whereas more realistic characters should have “matching” realistic motion. We investigated the effects of rendering style and amount of facial motion on perceptions of character likeability, intelligence, and extraversion. We used cartoon and more realistic-looking characters that were animated with tracked actor motion. The motion was exaggerated and damped in 10% increments up to a 40% difference from the original motion. We discovered that motion changes ±20% from original motion affected perceptions of likeability and intelligence differently in the realistic-looking and cartoon characters. The realistic-looking characters benefited from increased motion whereas the cartoon characters benefitted from damped motion. Furthermore, the amount of facial motion and perceptions of extraversion were significantly correlated.

关键词： Rendering (computer graphics) Shape Facial animation Correlation Accuracy Vectors

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A gaming interface using body gestures for collaborative navigation

A gaming interface using body gestures for collaborative nav...

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7th International IEEE Symposium on 3D User Interfaces 2012, 3DUI 2012

作者： Apostolellis, Panagiotis Laha, Bireswar Bowman, Doug A. Center for Human-Computer Interaction Department of Computer Science Virginia Tech United States

ISBN: (纸本)9781467312059

We designed a collaborative navigation interface in which one user (the controller) guides a second, remote user (the navigator) through a 3D game environment. Both sides of the interface use commercially available gaming hardware. The controller uses full-body gestures to send navigation cues to the navigator, who travels through the environment using typical 3D gaming controls. In an exploratory study, all participants completed the game scenario, and they viewed the system as usable and fun overall, although the limited communication provided by the system was somewhat of a hindrance to collaboration. Navigators, who were led to believe they were being guided by an intelligent system, did not guess that guidance was provided by another human, and felt that an intelligent system would typically be more consistent than a human being. © 2012 IEEE.

关键词： Intelligent systems

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A feasibility study of crowdsourcing and google street view to determine sidewalk accessibility 12

A feasibility study of crowdsourcing and google street view ...

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14th International ACM SIGACCESS Conference on computers and Accessibility, ASSETS 2012

作者： Hara, Kotaro Le, Victoria Froehlich, Jon Human-Computer Interaction Lab Computer Science Department University of Maryland College Park MD 20742 United States

ISBN: (纸本)9781450313216

We explore the feasibility of using crowd workers from Amazon Mechanical Turk to identify and rank sidewalk accessibility issues from a manually curated database of 100 Google Street View images. We examine the effect of three different interactive labeling interfaces Point, Rectangle, and Outlineon task accuracy and duration. We close the paper by discussing limitations and opportunities for future work.

关键词： Crowdsourcing

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CTArcade: Learning Computational Thinking while Training Virtual Characters Through Game Play

CTArcade: Learning Computational Thinking while Training Vir...

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30th ACM Conference on human Factors in Computing Systems, CHI 2012

作者： Lee, Tak Yeon Mauriello, Matthew Louis Ingraham, John Sopan, Awalin Ahn, June Bederson, Benjamin B. Human-Computer Interaction Lab Department of Computer Science University of Maryland College ParkMD20742 United States

In this paper we describe CTArcade, a web application framework that seeks to engage users through game play resulting in the improvement of computational thinking (CT) skills. Our formative study indicates that CT skills are employed when children are asked to define strategies of common games such as Connect Four. In CTArcade, users can train their own virtual characters while playing games with it. Trained characters then play matches against other virtual characters. Based on reviewing the matches played, users can improve their game character. A basic usability evaluation was performed on the system, which helped to define plans for improving CTArcade and assessing its design goals. © 2012 Authors.

关键词： Personnel training

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Sentiment classification in Persian: Introducing a mutual information-based method for feature selection

Sentiment classification in Persian: Introducing a mutual in...

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Iranian Conference on Electrical Engineering (ICEE)

作者： Ayoub Bagheri Mohamad Saraee Franciska de Jong Intelligent Database Data Mining and Bioinformatics Laboratory Electrical and Computer Engineering Department Isfahan University of Technology Isfahan Iran School of Computing Science and Engineering University of Salford Manchester UK Human Media Interaction University of Twente Enschede Netherlands

With the enormous growth of online reviews in Internet, sentiment analysis has received more and more attention in information retrieval and natural language processing community. Up to now there are very few researches conducted on sentiment analysis for Persian documents. This paper considers the problem of sentiment classification for online customer reviews in Persian language. One of the challenges of Persian language is using of a wide variety of declensional suffixes. Another common problem of Persian text is word spacing. In Persian in addition to white space as interwords space, an intra-word space called pseudo-space separates word's part. One more noticeable challenge in customer reviews in Persian language is that of utilizing many informal or colloquial words in text. In this paper we study these challenges by proposing a model for sentiment classification of Persian review documents. The proposed model is based on a lemmatization approach for Persian language and is employed Naive Bayes learning algorithm for classification. Additionally we present a new feature selection method based on the mutual information method to extract the best feature collection from the initial extracted features. Finally we evaluate the performance of the model on a manually gathered collection of cellphone reviews, where the results show the effectiveness of the proposed model.

关键词： Feature extraction Mathematical model Classification algorithms Equations Mutual information Training Data mining

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On the relationship between changes in distributed system behavior and group dynamics

On the relationship between changes in distributed system be...

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2012 13th International Conference on Collaboration Technologies and Systems, CTS 2012

作者： Lazem, Shaimaa Gračanin, Denis Harrison, Steve Department of Computer Science Center for Human-Computer Interaction Virginia Tech Blacksburg VA 24060 United States

ISBN: (纸本)9781467313803

What, if any, are the effects of the changes in distributed systems behavior on the social dynamics of distributed groups? The rapid evolution of cloud infrastructures, portable devices and multimedia services has enabled cooperation among strangers in online environments that lack quality of service guarantees. Group members experience delays and inconsistencies in the shared state. Previous research on delays focuses on tightly-coupled tasks and assumes that individual and group interests are aligned. In reality, individual participation in a group depends on how a participant weighs the value and the cost of cooperation. That tension is well captured in mixed-motive tasks (e.g., a social trap). A study was conducted, where 15 groups performed a loosely-coupled task that simulates social traps. Group members experienced a gradual degradation of system performance in the form of complex delays. Groups exhibited different adaptation patterns to the changes in the system behavior. There is no guarantee that group adaptation will always keep the status quo. System interventions are needed to maintain group dynamics. © 2012 IEEE.

关键词： Multimedia services

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Emotion Expression of Avatar through Eye Behaviors, Lip Synchronization and MPEG4 in Virtual Reality based on Xface Toolkit: Present and Future

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Procedia - Social and Behavioral sciences 2013年 97卷 700-706页

作者： Ahmad Hoirul Basori Itimad Raheem Ali UTM VicubeLab Faculty of Computer Science and Information SystemsUniversiti Teknologi MalaysiaJohor Bahru Malaysia Interactive Media and Human Interface Lab Department of Informatics Faculty of Information TechnologyInstitut Teknologi Sepuluh November Surabaya Indonesia

Eye movement combined with lip synchronization, eye movements, and emotional facial expression revealed an interesting research field that gives information about verbal and nonverbal behaviors occurring in the human body. Most of the previous researchers focused on eyes gazes, lip synching and emotion expression which are the most important features that can transfer nonverbal information to enhance, understand or express emotion. In this paper, the recent advances in 3D facial expression are introduced focusing on the presentation of Xface platform toolkit that developed a 3D talking avatars synthesis by implementing text-to-speech engine (TTS) to depict the basic lip shapes necessary for each phonemes to convey the dialogue. This work is believed to give the future direction that can lead into new research issue in facial animation.

关键词： Eye movements Lip Synchronization Emotional Facial Expression

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