Exploring the Impact of Explanation Representation on User Satisfaction in Robot Navigation
Author:
Affiliation:
1. Institute of Artificial Intelligence, Ulm University, Germany
2. Ulm University, Germany
3. Faculty of Electrical Engineering, University of Sarajevo, Bosnia and Herzegovina
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3648536.3648537
Reference50 articles.
1. Explain yourself! Effects of Explanations in Human-Robot Interaction
2. Dylan Babbs. 2023. Designing the latest generation of Uber Navigation: maps built for ridesharing. Medium. https://medium.com/uber-design/designing-the-latest-generation-of-uber-navigation-maps-built-for-ridesharing-de3ede031ce1
3. Kim Baraka, Ana Paiva, and Manuela Veloso. 2016. Expressive lights for revealing mobile service robot state. In Robot 2015: Second Iberian Robotics Conference: Advances in Robotics, Volume 1. Springer, Springer, Lisbon, Portugal, 107–119.
4. Mobile Service Robot State Revealing Through Expressive Lights: Formalism, Design, and Evaluation
5. Explainable navigation system using fuzzy reinforcement learning
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