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140 results on '"Chowanda, Andry"'

12. Towards emotional and socially realistic game companions with personality

Author

Chowanda, Andry

Subjects
006.3, GV Recreation. Leisure, QA 75 Electronic computers. Computer science
Abstract

This thesis presents a fully integrated and modular framework for social and emotional game companion that focuses on realistic social interaction between the player and Non-Player Characters (NPCs) in a game environment. Moreover, this thesis proposes integrated computational models for a formulation of action selection rules based on the game companion's personality, the relation between player and game companion and the perceived (non-)verbal actions to enhance the NPC's believability and the player's interaction in a game context. The rules were derived from data collections of both human-human and human-machine interactions. This thesis argues that NPC with such capability will accommodate a new experience when playing games. To illustrates the effectiveness of the proposed framework and computational models, the author implemented the framework and computational models into two game scenarios: The Smile Game where a human player who abides in the real world played with an ECA who inhabits a virtual world. The second scenario was The Skyrim Game, where an avatar represented the human player, who played with a virtual NPC in a virtual world. With a total of 117 participants in 217 interactions with the system, the results show that the players evidently perceived the NPCs' personality in accordance with the one set to them. The NPCs' ability to display emotions appropriately also provides the feeling of immersion in games to the players. Moreover, the ability to forge relationships naturally with the game companions gives the sentimental feeling towards the game companions. The main contribution of the work presented to the field of Intelligence Virtual Agents specifically in the domain of computer games, in this thesis is A fully integrated and modular framework for social-affect-aware game design complete with the computational models for social interaction with game companions. Several games have been built in several scenarios with simple social interactions between players and the game companions using the framework and computational models proposed to explore the opportunities of the framework and models. Finally, this thesis also presents some scenarios for data collections to construct interaction rules for game companions.

Published
2018

18. Object Detection Model for Web-Based Physical Distancing Detector Using Deep Learning.

Author

Chowanda, Andry, Sariputra, Ananda Kevin Refaldo, and Prananto, Ricardo Gunawan

Subjects
OBJECT recognition (Computer vision), WEB-based user interfaces, SOCIAL distancing, DEEP learning, SOCIAL distance
Abstract

The pandemic has changed the way people interact with each other in the public setting. As a result, social distancing has been implemented in public society to reduce the virus's spread. Automatically detecting social distancing is paramount in reducing menial manual tasks. There are several methods to detect social distance in public, and one is through a surveillance camera. However, detecting social distance through a camera is not an easy task. Problems, such as lighting, occlusion, and camera resolution, can occur during detection. The research aims to develop a physical distancing detector system that is adjusted to work with Indonesian rules and conditions, especially in Jakarta, using deep learning (i.e., YOLOv4 architecture with the Darknet framework) and the CrowdHuman dataset. The detection is done by reading the source video, detecting the distance between individuals, and determining the crowd of individuals close to each other. In order to accomplish the detection, the training is done with CSPDarknet53 and VGG16 backbone in YOLOv4 and YOLOv4 Tiny architecture using various hyperparameters in the training process. Several explorations are made in the research to find the best combination of architectures and fine-tune them. The research successfully detects crowds at the 16th training, with mAP50 of 71.59% (74.04% AP50) and 16.2 Frame per Second (FPS) displayed on the web. The input size is essential for determining the model's accuracy and speed. The model can be implemented in a web-based application. [ABSTRACT FROM AUTHOR]

Published
2024
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36. Playing with Social and Emotional Game Companions

Author

Chowanda, Andry, Flintham, Martin, Blanchfield, Peter, Valstar, Michel, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Traum, David, editor, Swartout, William, editor, Khooshabeh, Peter, editor, Kopp, Stefan, editor, Scherer, Stefan, editor, and Leuski, Anton, editor

Published
2016
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37. Topic Switch Models for Dialogue Management in Virtual Humans

Author

Zhu, Wenjue, Chowanda, Andry, Valstar, Michel, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Traum, David, editor, Swartout, William, editor, Khooshabeh, Peter, editor, Kopp, Stefan, editor, Scherer, Stefan, editor, and Leuski, Anton, editor

Published
2016
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41. ERiSA: Building Emotionally Realistic Social Game-Agents Companions

Author

Chowanda, Andry, Blanchfield, Peter, Flintham, Martin, Valstar, Michel, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, Series editor, Tanaka, Yuzuru, Series editor, Wahlster, Wolfgang, Series editor, Siekmann, Jörg, Series editor, Bickmore, Timothy, editor, Marsella, Stacy, editor, and Sidner, Candace, editor

Published
2014
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