Expressing ethnicity through behaviors of a robot character

Makatchev, Maxim; Simmons, Reid; Sakr, Majd; Ziadee, Micheline

doi:10.1109/hri.2013.6483610

Cited by 23 publications

(12 citation statements)

References 11 publications

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“…Another study examined politeness strategies for robots conversing with English and Arabic speakers, finding that Arabic participants gave higher ratings of politeness and competency to the robot than English speakers [25]. Verbal and nonverbal behaviors can be utilized to evoke associations between a robot's behaviors and its attributed ethnicity among English and Arabic speakers [17], and these groups also differ in how they perceive a robot's personality based on the amount of verbosity, hedging, alignment, and formality in its speech [16]. To our knowledge, there has been no previous work in HRI that explores the comparative effectiveness of robot speech designed to be credible across Western and Arabic culture, and the first study presented in this paper seeks to bridge this knowledge gap.…”

Section: Cross-cultural Hrimentioning

confidence: 99%

“…Because language and culture are tightly intertwined and difficult-if not impossible-to study separately [1], we use the term culture to encompass both the native language and cultural background of the users of social robotic products. Previous research has used different terms for the same or similar construct, including "language community," [16] "languaculture," [1] and "ethnicity," [17] (ethno-linguistic or ethno-national groups).…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Cross-cultural Hrimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Self Cite

View full text Add to dashboard Cite

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“…Issues surrounding of robot ethnicity and culture have prompted less research interest thus far (Makatchev, Simmons, Sakr, & Ziadee, 2013). Robots frequently exhibit conventionally Asian features, likely because many of the firms developing robots are Japanese (MacDorman, Vasudevan, & Ho, 2009).…”

Section: Ethnicity and Culturementioning

confidence: 99%

Service robot implementation: a theoretical framework and research agenda

Belanche

Casaló

Flavián

et al. 2019

The Service Industries Journal

409

285

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Service robots and artificial intelligence promise to increase productivity and reduce costs, prompting substantial growth in sales of service robots and research dedicated to understanding their implications. Nevertheless, marketing research on this phenomenon is scarce. To establish some fundamental insights related to this research domain, the current article seeks to complement research on robots' human-likeness with investigations of the factors that service managers must choose for the service robots implemented in their service setting. A three-part framework, comprised of robot design, customer features, and service encounter characteristics, specifies key factors within each category that need to be analyzed together to determine their optimal adaptation to different service components. Definitions and overlapping concepts are clarified, together with previous knowledge on each variable and research gaps that need to be solved. This framework and the final research questions provide a research agenda to guide scholars and help practitioners implement service robots successfully.

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“…Several versions have been made, including some of different ethnicity [28] and human likeness [31]. Refined facial animation and visemes, such as the ones of De Martino et al [32] can also improve the realism of the agent.…”

Section: Methodology 421 Materials: Conversational Agentmentioning

confidence: 99%

A receptionist robot for Brazilian people: study on interaction involving illiterates

Trovato¹,

Ramos

Azevêdo

et al. 2017

Paladyn, Journal of Behavioral Robotics

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Abstract:The receptionist job, consisting in providing useful indications to visitors in a public office, is one possible employment of social robots. The design and the behaviour of robots expected to be integrated in human societies are crucial issues, and they are dependent on the culture and society in which the robot should be deployed. We study the factors that could be used in the design of a receptionist robot in Brazil, a country with a mix of races and considerable gaps in economic and educational level. This inequality results in the presence of functional illiterate people, unable to use reading, writing and numeracy skills. We invited Brazilian people, including a group of functionally illiterate subjects, to interact with two types of receptionists differing in physical appearance (agent v mechanical robot) and in the sound of the voice (human like v mechanical). Results gathered during the interactions point out a preference for the agent, for the humanlike voice and a more intense reaction to stimuli by illiterates. These results provide useful indications that should be considered when designing a receptionist robot, as well as insights on the effect of illiteracy in the interaction.

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Expressing ethnicity through behaviors of a robot character

Cited by 23 publications

References 11 publications

Effects of Culture on the Credibility of Robot Speech

Effects of Culture on the Credibility of Robot Speech

Service robot implementation: a theoretical framework and research agenda

A receptionist robot for Brazilian people: study on interaction involving illiterates

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