Lindsey the Tour Guide Robot - Usage Patterns in a Museum Long-Term Deployment

Del Duchetto, Francesco, Baxter, Paul and Hanheide, Marc (2019) Lindsey the Tour Guide Robot - Usage Patterns in a Museum Long-Term Deployment. In: International Conference on Robot & Human Interactive Communication (RO-MAN), 14th - 18th Oct 2019, New Delhi.

Full content URL: https://doi.org/10.1109/RO-MAN46459.2019.8956329

Documents
Lindsey the Tour Guide Robot - Usage Patterns in a Museum Long-Term Deployment
Accepted Manusript
[img]
[Download]
[img] PDF
RO_MAN_Lindsey (1).pdf - Whole Document

4MB
Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

The long-term deployment of autonomous robots co-located with humans in real-world scenarios remains a challenging problem. In this paper, we present the ``Lindsey'' tour guide robot system in which we attempt to increase the social capability of current state-of-the-art robotic technologies. The robot is currently deployed at a museum displaying local archaeology where it is providing guided tours and information to visitors. The robot is operating autonomously daily, navigating around the museum and engaging with the public, with on-site assistance from roboticists only in cases of hardware/software malfunctions. In a deployment lasting seven months up to now, it has travelled nearly 300km and has delivered more than 2300 guided tours. First, we describe the robot framework and the management interfaces implemented. We then analyse the data collected up to now with the goal of understanding and modelling the visitors' behavior in terms of their engagement with the technology. These data suggest that while short-term engagement is readily gained, continued engagement with the robot tour guide is likely to require more refined and robust socially interactive behaviours. The deployed system presents us with an opportunity to empirically address these issues.

Keywords:HRI, robotics, lindsey
Subjects:H Engineering > H671 Robotics
Divisions:College of Science > School of Computer Science
ID Code:37348
Deposited On:02 Oct 2019 09:26

Repository Staff Only: item control page