Abstract
Deciphering the behaviour of intelligent others is a fundamental characteristic of our own intelligence. As we interact with complex intelligent artefacts, humans inevitably construct mental models to understand and predict their behaviour. If these models are incorrect or inadequate, we run the risk of self deception or even harm. Here we demonstrate that providing even a simple, abstracted real-time visualisation of a robot’s AI can radically improve the transparency of machine cognition. Findings from both an online experiment using a video recording of a robot, and from direct observation of a robot show substantial improvements in observers’ understanding of the robot’s behaviour. Unexpectedly, this improved understanding was correlated in one condition with
an increased perception that the robot was ‘thinking’, but in no conditions was the robot’s assessed intelligence impacted. In addition to our results, we describe our approach, tools used, implications, and potential future research directions.
an increased perception that the robot was ‘thinking’, but in no conditions was the robot’s assessed intelligence impacted. In addition to our results, we describe our approach, tools used, implications, and potential future research directions.
Original language | English |
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Title of host publication | 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) |
Publisher | IEEE |
Number of pages | 8 |
ISBN (Electronic) | 978-1-5386-3518-6 |
ISBN (Print) | 978-1-5386-3519-3 |
DOIs | |
Publication status | Published - 14 Dec 2017 |
Event | IEEE RO-MAN 2017: 26th IEEE International Symposium on Robot and Human Interactive Communication - Pestana Palace Hotel, Lisbon, Portugal Duration: 28 Aug 2017 → 1 Sept 2017 http://www.ro-man2017.org/site/ |
Publication series
Name | IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) |
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Publisher | IEEE |
Volume | 26 |
ISSN (Electronic) | 1944-9437 |
Conference
Conference | IEEE RO-MAN 2017 |
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Country/Territory | Portugal |
City | Lisbon |
Period | 28/08/17 → 1/09/17 |
Internet address |