403 research outputs found
Socially expressive communication agents: A face-centric approach
Interactive Face Animation - Comprehensive Environment (iFACE) is a general purpose
software framework that encapsulates the functionality of “face multimedia object”.
iFACE exposes programming interfaces and provides authoring and scripting tools to design a
face object, define its behaviors, and animate it through static or interactive situations. The
framework is based on four parameterized spaces of Geometry, Mood, Personality, and
Knowledge that together form the appearance and behavior of the face object. iFACE
capabilities are demonstrated within the context of some artistic and educational projects
The SEMAINE API: Towards a Standards-Based Framework for Building Emotion-Oriented Systems
This paper presents the SEMAINE API, an open source framework for building emotion-oriented systems. By encouraging and simplifying the use of standard representation formats, the framework aims to contribute to interoperability and reuse of system components in the research community. By providing a Java and C++ wrapper around a message-oriented middleware, the API makes it easy to integrate components running on different operating systems and written in different programming languages. The SEMAINE system 1.0 is presented as an example of a full-scale system built on top of the SEMAINE API. Three small example systems are described in detail to illustrate how integration between existing and new components is realised with minimal effort
Socially communicative characters for interactive applications
Interactive Face Animation - Comprehensive Environment (iFACE) is a general-purpose software framework
that encapsulates the functionality of “face multimedia object” for a variety of interactive applications such as
games and online services. iFACE exposes programming interfaces and provides authoring and scripting tools to
design a face object, define its behaviours, and animate it through static or interactive situations. The framework
is based on four parameterized spaces of Geometry, Mood, Personality, and Knowledge that together form the
appearance and behaviour of the face object. iFACE can function as a common “face engine” for design and runtime
environments to simplify the work of content and software developers
Simulating face to face collaboration for interactive learning systems
The use of Problem-Based Learning (PBL) in medical education and other educational settings has escalated. PBL\u27s strength in learning is mostly due to its collaborative and open-ended problem solving approach. Traditional PBL was designed to be used in live team environments rather than in an online setting. We describe research that allows for web-based PBL via geographically distributed physical locations that emphasize PBL\u27s collaboration and open brainstorming approach using interactive web, gaming and simulation techniques. We describe Interactive Face Animation - Comprehensive Environment (iFACE) which allows for expressive voice based character agents along with Collaborative Online Multimedia Problem-based Simulation Software (COMPS) which integrates iFace within a customizable web-based collaboration system. COMPS creates an XML-based multimedia communication medium that is effective for group based case presentations, discussions and other PBL activities
FML-based Prediction Agent and Its Application to Game of Go
In this paper, we present a robotic prediction agent including a darkforest
Go engine, a fuzzy markup language (FML) assessment engine, an FML-based
decision support engine, and a robot engine for game of Go application. The
knowledge base and rule base of FML assessment engine are constructed by
referring the information from the darkforest Go engine located in NUTN and
OPU, for example, the number of MCTS simulations and winning rate prediction.
The proposed robotic prediction agent first retrieves the database of Go
competition website, and then the FML assessment engine infers the winning
possibility based on the information generated by darkforest Go engine. The
FML-based decision support engine computes the winning possibility based on the
partial game situation inferred by FML assessment engine. Finally, the robot
engine combines with the human-friendly robot partner PALRO, produced by
Fujisoft incorporated, to report the game situation to human Go players.
Experimental results show that the FML-based prediction agent can work
effectively.Comment: 6 pages, 12 figures, Joint 17th World Congress of International Fuzzy
Systems Association and 9th International Conference on Soft Computing and
Intelligent Systems (IFSA-SCIS 2017), Otsu, Japan, Jun. 27-30, 201
Face modeling and animation language for MPEG-4 XMT framework
This paper proposes FML, an XML-based face modeling and animation language. FML provides a structured content description method for multimedia presentations based on face animation. The language can be used as direct input to compatible players, or be compiled within MPEG-4 XMT framework to create MPEG-4 presentations. The language allows parallel and sequential action description, decision-making and dynamic event-based scenarios, model configuration, and behavioral template definition. Facial actions include talking, expressions, head movements, and low-level MPEG-4 FAPs. The ShowFace and iFACE animation frameworks are also reviewed as example FML-based animation systems
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Volume 2, 2012
Information about the Psychology Student Research Journal p.1 Letter from the Founding Editor p.2 Seyed Hadi Hosseini Yassin Letter from the Journal President p.3 Ryan Lee Radmall Words of Wisdom from a Professor Emeritus: A Brief Biography and Interview with Dr.Charles Hoffman p.4 The Relationship Between Perfectionism, Anxiety, and Academic Procrastination in College Students p.6 Henry K. Chang Ex-offenders in the Workplace: Employee Reactions p.14 Rhiannon Gardenhire Ten Impressive Psychological Studies from 2011 p.21 Is Drug Use the Key to Creativity? A look at Psychotropic, Legal, and Illegal Drugs p.24 Danielle E. Humphrey and James C. Kaufman, Ph.D. Cholinergic Modulation of Reinforcement Effects in a Reinstatement Model of Drug Relapse Using Sucrose Reward p.30 Joseph Pipkin, Joseph Valentone, Veronica Rios, Venuz Greenfield, and Allen Butt, Ph.D. Book Reviews p.35 The Facebook Motivation Likert Scale p.36 Leslie Hagen, Karen Grab, Kim French, and Eric Leake Understanding the Association of Nonverbal Cues and Environmental Factors with Patient Retention in Mental Healthcare p.43 Tessy T. Pumaccahua Top 10 Unethical Psychological Experiments p.51 Creative Achievement and Regulation of Motivation for Creative Behaviors p.53 Ryan Holt Childhood Abuse History as a Predictor of Intimate Partner Violence p.61 Evelyn E. Ayala and David V. Chavez, Ph.D. Special Thanks to Reviewers p.6
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