Effects of communication style and culture on ability to accept recommendations from robots


Rau, P. L. Patrick ; Li, Ye ; Li, Dingjun



DOI: https://doi.org/10.1016/j.chb.2008.12.025
URL: https://www.sciencedirect.com/science/article/pii/...
Additional URL: https://www.researchgate.net/publication/220495031...
Document Type: Article
Year of publication: 2009
The title of a journal, publication series: Computers in Human Behavior
Volume: 25
Issue number: 2
Page range: 587-595
Place of publication: Amsterdam [u.a.]
Publishing house: Elsevier
ISSN: 0747-5632
Publication language: English
Institution: Business School > Wirtschaftsinformatik IV (Mädche 2009-2015)
Außerfakultäre Einrichtungen > Graduate School of Economic and Social Sciences - CDSB (Business Studies)
Subject: 330 Economics
Keywords (English): Human–robot interaction; Communication style; Cultural differences; Robot language
Abstract: The objective of this paper is to investigate the effects of communication styles and culture on people’s accepting recommendations from robots. The goal was to provide insight for culturally adaptive robot design. The independent variables were communication style (i.e. implicit or explicit), the participants’ cultural background (i.e. Chinese or German), and the robot’s language (i.e. native language and English for Chinese and German subjects). A laboratory experiment was conducted with 16 Chinese and 16 German college students. Basic descriptive statistics and t-test are used for biographical information analysis; reliability test is used for questionnaire; MANOVA and non-parametric test are used for testing the hypotheses. The results showed that the Chinese participants preferred an implicit communication style than German participants. Chinese participants evaluated the robots as being more likable, trustworthy, and credible, and were more likely to accept the implicit recommendations. The German participants evaluated the robots as being less likable, trustworthy, and credible, and were less inclined to accept implicit recommendations.

Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation.




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