How can a robot signal its incapability to perform a certain task to humans in an acceptable manner?

Katrin S. Lohan, Amol Deshmukh, Ruth Aylett

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, a robot that is using politeness to overcome its incapability to serve is presented. The mobile robot 'Alex' is interacting with human office colleagues in their environment and delivers messages, phone calls, and companionship. The robot's battery capacity is not sufficient to survive a full working day. Thus, the robot needs to recharge during the day. By doing so it is unavailable for tasks that involve movement. The study presented in this paper supports the idea that an incapability of fullfiling an appointed task can be overcome by politeness and showing appropriate behaviour. The results, reveal that, even the simple adjustment of spoken utterances towards a more polite phrasing can change the human's perception of the robot companion. This change in the perception can be made visible by analysing the human's behaviour towards the robot.

Original languageEnglish
Title of host publication23rd IEEE International Symposium on Robot and Human Interactive Communication: Human-Robot Co-Existence: Adaptive Interfaces and Systems for Daily Life, Therapy, Assistance and Socially Engaging Interactions
PublisherIEEE
Pages814-819
Number of pages6
ISBN (Print)9781479967636
DOIs
Publication statusPublished - 15 Oct 2014
Event23rd IEEE International Symposium on Robot and Human Interactive Communication 2014: Towards a Framework for Joint Action Workshop - Heriot-Watt University, Edinburgh, United Kingdom
Duration: 25 Aug 201429 Aug 2014

Conference

Conference23rd IEEE International Symposium on Robot and Human Interactive Communication 2014
Abbreviated titleIEEE RO-MAN 2014
Country/TerritoryUnited Kingdom
CityEdinburgh
Period25/08/1429/08/14

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition

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