FILTWAM. A Framework for Online Affective Computing in Serious Games. Kiavash Bahreini Wim Westera Rob Nadolski
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1 FILTWAM A Framework for Online Affective Computing in Serious Games Kiavash Bahreini Wim Westera Rob Nadolski 4th International Conference on Games and Virtual Worlds for Serious Applications, VS-GAMES 12, October, 2012 Genoa, Italy
2 Agenda 1. What is this research about? 2. What is the target group? 3. Why are we doing this research? 4. How to do this research? 5. Framework, experiment 6. Participants, tasks, and results 7. Conclusion 8. Future research Tuesday, October 30, 2012 VS-GAMES 2012, Genoa, Italy Kiavash Bahreini 2
3 What is this research about? Emotion Detection (happy, sad, fear, disgust, surprise, angry, neutral) Learner support in serious games: Enhancing online soft-skills training for lifelong learning Soft-skills training: emotional intelligence: selfawareness of own behaviour Interpret learners' emotional behaviour into emotional states Provide timely and adequate feedback upon learner's facial expressions and verbalizations in a game-based environment Offer a smooth setting for learners to improve their communication skills at their own pace, place, and time Tuesday, October 30, 2012 VS-GAMES 2012, Genoa, Italy Kiavash Bahreini 3
4 What is the target group? Life-long learners who would like to enhance soft-skills e-learning approaches with emerging technologies Tuesday, October 30, 2012 VS-GAMES 2012, Genoa, Italy Kiavash Bahreini 4
5 Why are we doing this research? 1. Communication skills are more important in knowledge society nowadays 2. Market demands: More jobs require more skilled people with respect to communication skills 1. For example: 1. Doctor/patient 2. Manager/employee 3. Teacher/student 3. Soft-skills are high priority at EU level1, 2, 3, 4 4. Provide a flexible, effective, efficient, and attractive environment with regard to game-based learning Tuesday, October 30, 2012 VS-GAMES 2012, Genoa, Italy Kiavash Bahreini 5
6 How to do this research? 1. Using devices and modern equipment rather than traditional devices, such as keyboard and mouse Webcams Microphones 2. Developing the overarching framework and software 3. Gather facial and vocal emotion data 4. Integrate the software with EMERGO (a game-based toolkit for delivery of multimedia cases ) Tuesday, October 30, 2012 VS-GAMES 2012, Genoa, Italy Kiavash Bahreini 6
7 Framework, experiment, and results Development of brief conceptual framework Design and development of a technical framework Software and Experiment Validating of facial and vocal data Tuesday, October 30, 2012 VS-GAMES 2012, Genoa, Italy Kiavash Bahreini 7
8 Conceptual framework
9 Technical architecture
10 Participants and tasks Sixteen participants (12 male, 4 female; age M=42.5, SD=10.9) Five consecutive tasks were given to the participants: Train the database of the affective computing software, Mimic the emotion that was presented through PowerPoint slides, Mimic the seven face expressions two times, Slides presented a text transcript (both sender and receiver) taken from a good-news conversation, participants were requested to read and speak aloud the sender 'slides' of transcript, as in task 4, but in this case the text transcript was taken from a bad-news conversation Tuesday, October 30, 2012 VS-GAMES 2012, Genoa, Italy Kiavash Bahreini 10
11 Software and experiment Tuesday, October 30, 2012 VS-GAMES 2012, Genoa, Italy Kiavash Bahreini 11
12 Requested Emotion Validation results (Task 2: Mimic seven emotions two times) Recognized Emotion Happy Sad Surprise Fear Disgust Angry Neutral Total Happy Sad Surprise Fear Disgust Angry Neutral Tuesday, October 30, 2012 VS-GAMES 2012, Genoa, Italy Kiavash Bahreini 12
13 Requested Emotion Validation results (Task 4: Delivering good news) Recognized Emotion Happy Sad Surprise Fear Disgust Angry Neutral Total Happy Neutral Tuesday, October 30, 2012 VS-GAMES 2012, Genoa, Italy Kiavash Bahreini 13
14 Conclusion 1. Majority of the participants were able to accurately use the software 2. They were not fully aware of their emotions to mimic 3. They could easily fix the wrong emotions when looked at the reflections of their emotions in the software screen 4. Almost all participants forgot how they trained the software in initial stage Tuesday, October 30, 2012 VS-GAMES 2012, Genoa, Italy Kiavash Bahreini 14
15 Future research 1. Extend version of the framework for voice emotion detection 2. Extend version of the software to be able to detect voice emotion 3. Apply the game-based learning and the components in the study 4. Extend, improve, and development of training materials Tuesday, October 30, 2012 VS-GAMES 2012, Genoa, Italy Kiavash Bahreini 15
16 Future research 5. Integration of face emotion recognition and voice emotion detection in one system 6. Develop a web service to provide feedback 7. Improve the setup for future experiments in order to address the problems and improve accuracy 8. Improve the feedback mechanism Tuesday, October 30, 2012 VS-GAMES 2012, Genoa, Italy Kiavash Bahreini 16
17 Thank you Kiavash Bahreini PhD Candidate Center for Learning Sciences and Technologies Open University of the Netherlands بحرینی- 29/9b6/93 /کیاوش (0) Tuesday, October 30, 2012 VS-GAMES 2012, Genoa, Italy Kiavash Bahreini 17
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