Effects of using indirect language by a robot to change human attitudes

Alexander Lopez, Bryan Ccasane, Renato Paredes, Francisco Cuellar

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

16 Citas (Scopus)

Resumen

The use of indirect language is considered useful for persuading people in human communication. The aim of this research is to determine whether this also occurs within human-robot interaction. Thus, it is hypothesized that indirect language will have greater influence in attitude changes towards a product in comparison to direct language. A seven-point semantic differential scale was employed to measure participants attitude changes towards a product advertised by a Nao Robot using either direct or indirect speech. Results showed no significant differences between the direct and indirect language experimental conditions. This may indicate that in human-robot interaction indirect language may not function similarly as it does in human communication. A larger sample size and improvements in stimuli are suggested for future works.

Idioma originalInglés
Título de la publicación alojadaHRI 2017 - Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction
EditorialIEEE Computer Society
Páginas193-194
Número de páginas2
ISBN (versión digital)9781450348850
DOI
EstadoPublicada - 6 mar. 2017
Evento12th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017 - Vienna, Austria
Duración: 6 mar. 20179 mar. 2017

Serie de la publicación

NombreACM/IEEE International Conference on Human-Robot Interaction
ISSN (versión digital)2167-2148

Conferencia

Conferencia12th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017
País/TerritorioAustria
CiudadVienna
Período6/03/179/03/17

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