Exploring NAO Robot Errors in Collaborative Work: An Assessment based on Identification, Analysis, and Troubleshooting

Dana Acosta Castillo, Maria Insuasty, Sergio Barbosa de la Torre, Mario F. Jimenez

Research output: Contribution to conferencePaperpeer-review

Abstract

A laboratory practice session conducted by a robot NAO was designed and implemented as part of a human-robot collaborative task session. With this purpose, the robot provided the participants with a set of step-by-step instructions that had the objective to turn on a LED with an embedded device. However, this study had the aim to evaluate the Pratfall effect in a teaching assistant scenario, thus, the robot provided both correct and incorrect instructions in some moments of the practice session, and the participants were requested to follow the robot’s instructions. Afterward, their reactions and perceptions were analyzed. To measure the participants’ perception towards the robot the NARS, RoSas, and questions about the instructions with errors were applied to the participants to identify their perceptions towards a non-perfect robot. It was found that all the participants finished the session, 65% of the participants could turn on the LED at the end of the session by following the robot’s instructions, and 66% of the participants realized the presence of errors. Lastly, it was found that the participants tended to present negative emotions every time the robot committed a mistake.
Translated title of the contributionExploración de los errores de los robots NAO en el trabajo colaborativo: una evaluación basada en la identificación, el análisis y la resolución de problemas
Original languageEnglish
Pages1-6
Number of pages6
DOIs
StatePublished - Jul 27 2023
Event2023 IEEE 3rd Colombian BioCAS Workshop - Universidad del Rosario, Bogota, Colombia
Duration: Jul 26 2023Jul 28 2023

Conference

Conference2023 IEEE 3rd Colombian BioCAS Workshop
Country/TerritoryColombia
CityBogota
Period7/26/237/28/23

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Artificial Intelligence

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