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Positive Emotion Amplification by Representing Excitement Scene with TV Chat Agents
Shogo Nishimura1, Daiki Kimata1, Wataru Sato2
1Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma,Nara 630-0192, Japan.
Sensors (Basel, Switzerland)
|December 29, 2020
Summary
This study introduces emotion amplification for TV chat agents, boosting user excitement in sports programs. The system enhances viewer engagement and future interaction motivation by dynamically adjusting agent speech based on social media cues.
Area of Science:
- Human-Computer Interaction
- Affective Computing
- Media Psychology
Background:
- Traditional TV viewing experiences can lack dynamic engagement.
- Social media provides real-time audience reaction data.
- Enhancing user emotional states can improve media consumption.
Purpose of the Study:
- To develop and evaluate an emotion amplification system for TV chat agents.
- To increase user excitement and engagement during TV sports programs.
- To investigate the impact of amplified agent emotions on user interaction motivation.
Main Methods:
- A model was developed to estimate TV program excitement levels from social comment post volume.
- Exciting intervals were extracted from social comments and synchronized with video streams.
- Emotion amplification was implemented in TV chat agents, varying utterance frequency and volume.
- User studies compared experiences with no agent, flat-voiced agents, and emotion-amplified agents.
Main Results:
- Emotion amplification by TV chat agents significantly boosted participants' subjective and physiological emotional arousal.
- Participants showed enhanced motivation to interact with the emotion-amplified agents.
- The system successfully synchronized agent utterances with program excitement intervals.
Conclusions:
- Emotion amplification technology can effectively enhance positive emotions in TV watchers.
- Dynamic, emotionally responsive agents increase user engagement and future interaction intent.
- This approach offers a novel method for improving interactive television experiences.
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