Improving User’s Performance by Motivation: Matching Robot Interaction Strategy with User’s Regulatory State

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The presence of a robot in our everyday life can generate both positive and negative effects on us. While performing a difficult task, the presence of a robot can generate a negative effect on the performance and it can also increase the stress and anxiety levels. In order to minimize these undesired effects, we propose the use of user’s motivation, based on the Regulatory Focus Theory. We analyze the effects of using Regulatory oriented strategies in a robot speech, when giving a person the instructions of how to perform a Stroop Test. We found evidence that matching the Chronic Regulatory state of the participants with the Regulatory oriented strategy of the robot improves the user’s performance, and a mismatch leads to an increase of cognitive load and stress in the participants.

Original languageEnglish
Title of host publicationSocial Robotics - 9th International Conference, ICSR 2017, Proceedings
EditorsKenji Suzuki, Hongsheng He, Abderrahmane Kheddar, Eiichi Yoshida, Friederike Eyssel, Shuzhi Sam Ge, John-John Cabibihan
PublisherSpringer Verlag
Pages464-473
Number of pages10
ISBN (Print)9783319700212
DOIs
Publication statusPublished - 1 Jan 2017
Event9th International Conference on Social Robotics, ICSR 2017 - Tsukuba, Japan
Duration: 22 Nov 201724 Nov 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10652 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Social Robotics, ICSR 2017
Country/TerritoryJapan
CityTsukuba
Period22/11/1724/11/17

Fingerprint

Dive into the research topics of 'Improving User’s Performance by Motivation: Matching Robot Interaction Strategy with User’s Regulatory State'. Together they form a unique fingerprint.

Cite this