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

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

doi:10.1016/j.chb.2008.12.025

Cited by 171 publications

(74 citation statements)

References 14 publications

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“…says "Are you sure?" to show disagreement) [18]. This finding was further confirmed in a subsequent experiment, in which American participants were more influenced by a robot that communicated explicitly, while Chinese participants were influenced more by the implicit one [19].…”

Section: Towards Culturally Adaptive Robotssupporting

confidence: 74%

A Cross-cultural Study: Effect of Robot Appearance and Task

Rau

2010

Int J of Soc Robotics

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385

202

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This study investigates the effects of culture, robot appearance and task on human-robot interaction. We propose a model with culture (Chinese, Korean and German), robot appearance (anthropomorphic, zoomorphic and machinelike) and task (teaching, guide, entertainment and security guard) as factors, and analyze these factors' effects on the robot's likeability, and people's active response to, engagement with, trust in and satisfaction with the robot. We conducted a laboratory experiment with 108 participants to test the model and performed Repeated ANOVA and Kruskal Wallis Test on the data. The results show that cultural differences exist in participants' perception of likeability, engagement, trust and satisfaction; a robot's appearance affects its likeability, while the task affects participants' active response and engagement. We found the participants expected the robot appearance to match its task only in the interview but not in the subjective ratings. Interaction between culture and task indicates that participants from low-context cultures may have significantly decreased engagement when the sociability of a task is lowered. We found strong and positive correlations between interaction performance (active response and engagement) and preference (likeability, trust and satisfaction) in the human-robot interaction.

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Section: Towards Culturally Adaptive Robotssupporting

confidence: 74%

A Cross-cultural Study: Effect of Robot Appearance and Task

Rau

2010

Int J of Soc Robotics

Self Cite

385

202

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“…The study found that Chinese participants were more likely to change previously made decisions to align with a robot's recommendations when that robot was using an implicit communication style while U.S. participants aligned more with a robot using an explicit communication style. Other previous work focused on the effects of communication style and cultural background (Chinese or German) on the acceptance of recommendations from a robot [22]. Researchers found a strong preference among participants for the robot that communicated in the style more familiar to them (explicit for Germans, implicit for Chinese).…”

Section: Cross-cultural Hrimentioning

confidence: 97%

Effects of Culture on the Credibility of Robot Speech

Andrist

Ziadee

Boukaram

et al. 2015

Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction

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As social robots begin to enter our lives as providers of information, assistance, companionship, and motivation, it becomes increasingly important that these robots are capable of interacting effectively with human users across different cultural settings worldwide. A key capability in establishing acceptance and usability is the way in which robots structure their speech to build credibility and express information in a meaningful and persuasive way. Previous work has established that robots can use speech to improve credibility in two ways: expressing practical knowledge and using rhetorical linguistic cues. In this paper, we present two studies that build on prior work to explore the effects of language and cultural context on the credibility of robot speech. In the first study (n = 96), we compared the relative effectiveness of knowledge and rhetoric on the credibility of robot speech between Arabic-speaking robots in Lebanon and Englishspeaking robots in the United States, finding the rhetorical linguistic cues to be more important in Arabic than in English. In the second study (n = 32), we compared the effectiveness of credible robot speech between robots speaking either Modern Standard Arabic or the local Arabic dialect, finding the expression of both practical knowledge and rhetorical ability to be most important when using the local dialect. These results reveal nuanced cultural differences in perceptions of robots as credible agents and have important implications for the design of human-robot interactions across Arabic and Western cultures. English-speaking robotsEnglish-speaking participantArabic-speaking robots Arabic-speaking participant Arabic site Figure 1: The first study was conducted in both the United States (top) and Lebanon (bottom). Participants interacted with two robots acting as competing tour guides, each speaking with a different degree of practical knowledge and/or rhetorical ability.

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“…For instance, other important factors in using service robots can be considered in suggesting a new integrated research model. Considering that prior studies introduced new factors, such as perceived sociability, social presence (Heerink et al, 2010), perceived trust (Rau et al, 2009), and perceived benefits (Young et al, 2009), in investigating the user-acceptance of service robots, future studies should address these factors into the newly integrated research model.…”

Section: Limitations and Future Studiesmentioning

confidence: 99%

The adoption of teaching assistant robots: a technology acceptance model approach

Park

Kwon

2016

PROG

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.*Related content and download information correct at time of download. Purpose -Based on rapid improvements in telecommunications and wireless networks with extensive educational contents, numerous studies have been conducted to improve our educational success/attainment/environment. With this trend, the purpose of this paper is to investigate users' perceptions of teaching assistant (TA) robots and the possible motivations that impact the users' intention to use (IU) the robots. Design/methodology/approach -In light of the rapid development of and attempts at understanding interactions with social robots, including TA robots, this study uses structural equation modeling and confirmatory factor analysis. Findings -The results indicated that perceived usefulness was the most crucial factor determining the users' IU for TA robots. In addition, the relationships of the original technology acceptance model were confirmed. The study findings demonstrated the crucial importance of perceived enjoyment and service quality. Originality/value -Although the role of TA robots has gained user attention, few investigations have been conducted to explain how IU is formed. The current study can thus act as the foundation for exploring the acceptance process in the context of TA robots.

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

Cited by 171 publications

References 14 publications

A Cross-cultural Study: Effect of Robot Appearance and Task

A Cross-cultural Study: Effect of Robot Appearance and Task

Effects of Culture on the Credibility of Robot Speech

The adoption of teaching assistant robots: a technology acceptance model approach

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