towards investigating effective affective dialogue strategies
DESCRIPTION
Towards investigating effective affective dialogue strategies. Gregor Bertrand, F lorian Nothdurft , Steffen Walter, Andreas Scheck, Henrik Kessler and Wolfgang Minker. Outline. Introduction Role of Emotion in SLDS Purpose of our Study Design of our Study Current Status - PowerPoint PPT PresentationTRANSCRIPT
Information Technology – Dialogue SystemsUlm University (Germany)http://www.dialogue-systems.de
Towards investigating effective affective dialogue strategies
Gregor Bertrand, Florian Nothdurft, Steffen Walter, Andreas Scheck, Henrik Kessler and Wolfgang Minker
Towards investigating effective affective dialogue strategies| LREC 2010 | 2010/05/20Page 2
Outline
• Introduction
• Role of Emotion in SLDS
• Purpose of our Study
• Design of our Study
• Current Status
• Conclusion / outlook
Towards investigating effective affective dialogue strategies| LREC 2010 | 2010/05/20Page 3
Introduction
• Research on Companion Technologies (www.sfb-trr-62.de)
• Speech dialogue one form of UI
• Role of emotion in dialogue:– Agreement / disagreement– Adapt dialogue style– Need of clarification– Misunderstanding
• Additional modality
• Adapt dialogue to user emotion
Towards investigating effective affective dialogue strategies| LREC 2010 | 2010/05/20Page 4
Outline
• Introduction
• Role of Emotion in SLDS
• Purpose of our Study
• Design of our Study
• Current Status
• Conclusion / outlook
Towards investigating effective affective dialogue strategies| LREC 2010 | 2010/05/20Page 5
Role of Emotion in SLDS
• Spoken Language Dialogue System architecture
• Extend with emotional capabilities
Spoken language dialogue system
Acoustic front-endSpeech recognition
Linguisticanalysis
Dialoguemanagement
Text generationSpeech synthesis
Application
Towards investigating effective affective dialogue strategies| LREC 2010 | 2010/05/20Page 6
Role of Emotion in SLDS
• Emotion based on sensor measurements
• React to user emotion in an appropriate way – but how?
Linguisticanalysis
DialogueManagement
Text generation
Acoustic front-endSpeech recognition
Application
Speech synthesis
Towards investigating effective affective dialogue strategies| LREC 2010 | 2010/05/20Page 7
Outline
• Introduction
• Role of Emotion in SLDS
• Purpose of our Study
• Design of our Study
• Current Status
• Conclusion / outlook
Towards investigating effective affective dialogue strategies| LREC 2010 | 2010/05/20Page 8
Purpose of our study
• Investigation of emotions relevant for speech interaction
• Investigation of biophysiological features connected to emotion– EEG (electro encephalography)– Blood pressure– Heart rate– Skin conductance level– Breathing
• Explorative testing of emotional strategies
Towards investigating effective affective dialogue strategies| LREC 2010 | 2010/05/20Page 9
Outline
• Introduction
• Role of Emotion in SLDS
• Purpose of our Study
• Design of our Study
• Current Status
• Conclusion / outlook
Towards investigating effective affective dialogue strategies| LREC 2010 | 2010/05/20Page 10
Design of our Study
• User GUI
• Speech Interface provided by Wizard of Oz architecture
Performance feedback
Timer
Towards investigating effective affective dialogue strategies| LREC 2010 | 2010/05/20Page 11
Design of our Study
• Wizard GUI
Predefined feedback
Applicationcontrol
Performancerating
Towards investigating effective affective dialogue strategies| LREC 2010 | 2010/05/20Page 12
Design of our Study
• Biophysiological data is taken
• 5 Rounds of Memory
• Each Round is supposed to evoke an emotional state (points in PAD-space)
• Classification of the data
• Emotional dialogue strategies- Thankful- Motivating- Empathetic- Neutral
Pleasure
Arousal
Dominance
Towards investigating effective affective dialogue strategies| LREC 2010 | 2010/05/20Page 13
Outline
• Introduction
• Role of Emotion in SLDS
• Purpose of our Study
• Design of our Study
• Current Status
• Conclusion / outlook
Towards investigating effective affective dialogue strategies| LREC 2010 | 2010/05/20Page 14
Current Status
• 14 Persons (aged between 20 and 50 years)
• SVM - Classifiers for intraindividual emotional features do well
• SVM - Classifiers for interindividual emotional features do not so well
Individuals show different features on biophysiological level
Dialogue strategies need to adapt to individual emotional situation
subject intrai. pos. intrai. neg. interi. pos. interi. neg. 1 99,4 99,5 52,2 0,92 83,3 94,6 0,1 99,63 100 100 98,7 04 65,4 82,9 1 89,85 85,2 97,2 0,9 43,96 93,3 99,3 0 787 52,7 80,6 0 1008 76,4 88,8 83,9 09 92,8 98,6 64,3 0,1
10 80,2 94,4 65,8 39,811 94,1 99 0,1 51,7
sum 83,9 94,1 33,4 45,8
Towards investigating effective affective dialogue strategies| LREC 2010 | 2010/05/20Page 15
Outline
• Introduction
• Role of Emotion in SLDS
• Purpose of our Study
• Design of our Study
• Current Status
• Conclusion / Outlook
Towards investigating effective affective dialogue strategies| LREC 2010 | 2010/05/20Page 16
Conclusion / Outlook
• WoZ experiment on user emotion
• Speech interface
• Individuality of user emotion
• Requirements for dialogue management
Design of an appropriate dialogue model
Design of an appropriate dialogue management algorithm