Skip to content

paliasgh/Exploring-the-Impact-of-Robot-Errors-and-Appearance-on-Teachers-Trust-and-Evaluations

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Exploring the Impact of Robot Errors and Appearance on Teachers’ Trust and Evaluations

This repository contains the code for the virtual teaching interface, the de-identified collected data, and the R code for analyzing the data in the following paper. Please cite the paper in case the code/data is used:

  • Aliasghari, P., Ghafurian, M., Nehaniv, C.L. Dautenhahn, K (2022). How Do We Perceive Our Trainee Robots? Exploring the Impact of Robot Errors and Appearance when Performing Domestic Physical Tasks on Teachers’ Trust and Evaluations. ACM Transactions on Human-Robot Interaction.

Please also cite the conference paper which presents a subset of the results:

  • Pourya Aliasghari, Moojan Ghafurian, Chrystopher L. Nehaniv, and Kerstin Dautenhahn. 2021. Effect of Domestic Trainee Robots’ Errors on Human Teachers’ Trust. In 2021 30th IEEE International Conference on Robot Human Interactive Communication (RO-MAN). 81–88. https://doi.org/10.1109/RO-MAN50785.2021.9515510

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages