1st African International Conference on Industrial Engineering and Operations Management

CHARACTERIZATION OF PSYCHOLOGICAL TRAITS OF SOUTH AFRICAN TRIBES AND ITS IMPACT ON SISR INTEGRATION

CHINENYE AJIBO
Publisher: IEOM Society International
0 Paper Citations
1 Views
1 Downloads
Track: Artificial Intelligence
Abstract

The dynamism in man’s public sphere, with its associated diversity in the socio-cultural and religious inclination of people, have over time resulted in variation in the personality psychological traits of people in these environments. In most developing countries, the level of integration of Social Interactive Service Robots (SISRs) in public sphere has been greatly hampered; owing to the disparity in the psychological traits of the people in this region. This to a great extent has impeded the level of acceptance of SISRs in most public places. In an effort to remediate this challenge, there is need to understand and characterize the psychological trait of the people in this region. This work therefore, seeks to review psychological development and traits of the Zulu, Xhosa and Swati tribes of South Africa in a bid to characterize the inherent psychological trait variation of the people. It was also aims at establishing in quantitative terms, the variation in pro-social traits. Findings from this work, show that Xhosa and Zulu tribe have a higher propensity to integrate SISRs more than the Swati tribe, as they have higher positive correlation value in terms of pro-social traits: Agreeableness, Conscientiousness and Neuroticism with values of 0.45, 0.80 and 0.40 respectively. Also, result from the analysis show that the mean pro-social traits for the tribe combination: Xhosa/Zulu, Swati/Zulu and Swati/Xhosa have correlational values of 0.58, 0.54 and 0.53 respectively.

Published in: 1st African International Conference on Industrial Engineering and Operations Management, Johannesburg, South Africa

Publisher: IEOM Society International
Date of Conference: October 30-1, 2018

ISBN: 978-1-5323-5947-7
ISSN/E-ISSN: 2169-8767