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IROS 2021

Collaborative Storytelling with Social Robots

Conference Paper Accepted Paper Artificial Intelligence · Robotics

Abstract

Storytelling plays a central role in human socializing and entertainment, and research on conducting storytelling with robots is gaining interest. However, much of this research assumes that story content is curated. In this paper, we expand the recently-proposed task of collaborative storytelling, where an intelligent agent and a person collaborate to create a unique story by taking turns adding to it, for application to social robot and consider the design implications that arise. Since latency can be detrimental to human-robot interaction, we examine the performance-latency trade-offs of an existing generate-and-rank-based approach to collaborative storytelling by finding the optimal ranker’s sample size that strikes the best balance between quality and computational cost. We improve on existing evaluation that was previously based on system-generated stories by having human participants play the collaborative storytelling game with our system and comparing the stories they create with our system to a naive baseline. Finally, we conduct a pilot elicitation survey that sheds light on issues to consider when adapting our collaborative storytelling system to a social robot. Our evaluation shows that participants have a positive view of collaborative storytelling with a social robot and consider rich, emoting capabilities to be key to enjoyment.

Authors

Keywords

  • Collaboration
  • Human-robot interaction
  • Entertainment industry
  • Games
  • Computational efficiency
  • Intelligent agents
  • Task analysis
  • Social Robots
  • Collaborative Storytelling
  • Computational Cost
  • Human Participants
  • Intelligence Agencies
  • Collaborative System
  • Story Content
  • Interactive
  • Neural Network
  • Continuous Improvement
  • Recurrent Neural Network
  • Speech Recognition
  • Series Of Questions
  • Variety Of Tasks
  • Language Model
  • Sentiment Analysis
  • End Of The Story
  • Collaborative Tasks
  • Text Generation
  • Human Players
  • Dialogue System
  • Chatbot
  • Sequence Of Tokens

Context

Venue
IEEE/RSJ International Conference on Intelligent Robots and Systems
Archive span
1988-2025
Indexed papers
26578
Paper id
376571004672564049
v2026.09.13