Enhancing Audience Engagement with Interactive Robots through Dynamic Personas

核心概念

Enhancing audience engagement through dynamic personas in interactive robots.

要約

This paper introduces the Masquerading Animated Social Kinematics (MASK) system, which utilizes anthropomorphic robots to interact with guests using non-verbal cues. The system is designed to enhance audience engagement by providing a more immersive and interactive experience. By leveraging persona-driven dialog agents, the MASK framework integrates perception and behavior selection engines to enable real-time interactions with minimal human intervention. The study focuses on whether users can recognize intended characters in film-character-based persona conditions. The research aims to explore the role of personas in interactive agents and factors for creating engaging user experiences.

統計

Throughout the user subject studies, we examined whether the users could recognize the intended character in film-character-based persona conditions.
We define 67% accuracy as successful in classifying the correct persona, which is four times higher than a random guess 16.7%.
We recruited 108 participants (gender: M=47, F=63, ages: 20-53) to participate in this between-subjects study where the personas were randomly assigned to participants with equal numbers.

引用

"We hypothesize that by embedding a character template into robotic behavior, interactive agents can convincingly embody distinct personas for users to engage with."
"Our main question is whether our system enabled users to distinguish robot’s personas while considering the effects of persona-based interactions on user experience and engagement."
"The confusion matrix for classification is shown in Figure 3, where we have adjusted the user’s fitting score obtained from the survey question S6."

抽出されたキーインサイト

Towards Embedding Dynamic Personas in Interactive Robots

by Jeongeun Par... 場所 arxiv.org 03-18-2024

https://arxiv.org/pdf/2403.10041.pdf

深掘り質問

How can diverse robotic behaviors be incorporated into longer interactions?

To incorporate diverse robotic behaviors into longer interactions, a broader observation space and a more complex behavior selection mechanism are essential. By expanding the range of observations that the robot can interpret from users, such as body language cues, facial expressions, and gestures, the robot can respond with a wider variety of behaviors. This increased diversity in responses can help maintain user engagement over extended periods by preventing repetitive actions and creating a more dynamic interaction experience.
Additionally, implementing machine learning algorithms or artificial intelligence techniques to continuously learn and adapt to user preferences and feedback during interactions can enhance the diversity of robotic behaviors. These adaptive systems can adjust their responses based on real-time data gathered from user reactions, ensuring that the robot's actions remain engaging and relevant throughout prolonged engagements.

What are some potential challenges in group interactions with persona-driven robots?

Group interactions pose several challenges for persona-driven robots due to the complexity of managing multiple users simultaneously. Some potential challenges include:

Conflict in Persona Perception: Different users within a group may interpret the robot's persona differently based on their individual perspectives or biases. This variance in perception could lead to confusion or miscommunication among group members regarding the intended character traits of the robot.

Persona Consistency: Maintaining consistency in portraying a specific persona across various interactions with different individuals in a group setting can be challenging. The robot must adapt its behavior dynamically to align with each user's expectations while still embodying its designated personality consistently.

Managing Multiple Interactions: Juggling multiple conversations or engagements within a group context requires efficient multitasking capabilities from the robot. It needs to prioritize attention based on factors like user interest levels or engagement scores to ensure equitable interaction distribution among all participants.

Handling Group Dynamics: Understanding social dynamics within groups is crucial for effective communication as it influences how individuals interact with each other and perceive external entities like robots. Persona-driven robots need to navigate these intricate relationships while maintaining appropriate behavior tailored to each participant's preferences.

How might users' interpretations of robotic actions influence their overall interaction quality?

Users' interpretations of robotic actions play a significant role in shaping their overall interaction quality by influencing their emotional connection, engagement level, and satisfaction with the experience:

Emotional Engagement: When users accurately perceive and connect with the intended character traits portrayed by persona-driven robots, they are more likely to develop an emotional bond with the robot during interactions.

2Enhanced User Experience: Users who correctly interpret robotic actions aligned with specific personas tend to have more immersive experiences that feel personalized and tailored towards their preferences.
3Perceived Authenticity: Accurate interpretation of robotic actions enhances perceived authenticity as users feel that they are interacting with characters rather than machines.
4Interaction Satisfaction: Users who understand and appreciate robotic personas are more likely to enjoy interactive sessions leading them satisfied after completing an encounter.
By considering these aspects when designing persona-driven robotics systems,
developers can create engaging experiences that resonate positively
with users through effective communication channels between humans
and machines