gaips_bea image1 image2 image3 image4 image5 gaips_ecute_beach_bar_banner gaips_ecute_train_incorrect_ticket_banner
Enriching Discrete Actions with Impactful Emotions


Abstract Believable interactions between synthetic characters are an important factor defining the success of a virtual environment relying on human participants being able to create emotional bonds with artificial characters. Not only is it important for characters to be believable, but also interactions with or between such characters too. Previously we created 3Motion, a model for synthetic character interaction based on anticipation and emotion that allows for precise affective communication of intention-based behaviors, which improves the believability of both synthetic characters and their actions. Currently the model has been evaluated using a low fidelity text-based prototype and shown to create believable interactions. We want to improve the model by adapting it to 3D real-time virtual environment, specifically using an online learning environment virtual coaching platform, and evaluate it in a real world scenario. Measuring believability, but also trying to assess the impact on the user learning experience.
Year 2019
Keywords computer aided instruction;human factors;virtual reality;impactful emotions;synthetic characters;emotional bonds;artificial characters;3Motion;synthetic character interaction;precise affective communication;intention-based behaviors;low fidelity text-based prototype;online learning environment virtual coaching platform;Games;Three-dimensional displays;Animation;Task analysis;Appraisal;Bars;Engines;Virtual Agents;Believable Interactions;Emotion;Anticipation;Intelligent Virtual Agents;Affective Computing;
Authors Ricardo Rodrigues
Journal 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)
Pages 31-34
Month September
Publisher IEEE
Pdf File
BibTex bib icon or see it here down icon

@article { rodrigues19, abstract = {Believable interactions between synthetic characters are an important factor defining the success of a virtual environment relying on human participants being able to create emotional bonds with artificial characters. Not only is it important for characters to be believable, but also interactions with or between such characters too. Previously we created 3Motion, a model for synthetic character interaction based on anticipation and emotion that allows for precise affective communication of intention-based behaviors, which improves the believability of both synthetic characters and their actions. Currently the model has been evaluated using a low fidelity text-based prototype and shown to create believable interactions. We want to improve the model by adapting it to 3D real-time virtual environment, specifically using an online learning environment virtual coaching platform, and evaluate it in a real world scenario. Measuring believability, but also trying to assess the impact on the user learning experience.}, journal = {2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)}, keywords = {computer aided instruction;human factors;virtual reality;impactful emotions;synthetic characters;emotional bonds;artificial characters;3Motion;synthetic character interaction;precise affective communication;intention-based behaviors;low fidelity text-based prototype;online learning environment virtual coaching platform;Games;Three-dimensional displays;Animation;Task analysis;Appraisal;Bars;Engines;Virtual Agents;Believable Interactions;Emotion;Anticipation;Intelligent Virtual Agents;Affective Computing;}, month = {September}, pages = {31-34}, publisher = {IEEE}, title = {Enriching Discrete Actions with Impactful Emotions}, year = {2019}, author = {Ricardo Rodrigues} }

up icon hide this content