Investigating Effects of Professional Status and Ethnicity in Human-Agent Interaction

Obaid, Mohammad; Salem, Maha; Ziadee, Micheline; Boukaram, Halim; Moltchanova, Elena; Sakr, Majd

doi:10.1145/2974804.2974813

Cited by 7 publications

(3 citation statements)

References 18 publications

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“…In this respect, robots might reflect the ethnic features of their originators, signaling a match between the robot and the designer, as well as its firm or brand origin. To adapt these products to different cultures though, robots might need to exhibit varying ethnic features, in line with the prediction that customers sense a closer connection to robots that appear to belong to the same cultural group (Obaid et al, 2016). That is, humans likely apply social categorization rules to robots and exhibit ingroup favorability (Eyssel & Kuchenbrandt, 2012;Makatchev et al, 2013).…”

Section: Ethnicity and Culturementioning

confidence: 90%

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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Section: Ethnicity and Culturementioning

confidence: 90%

Service robot implementation: a theoretical framework and research agenda

Belanche

Casaló

Flavián

et al. 2019

The Service Industries Journal

409

285

View full text Add to dashboard Cite

show abstract

“…It would also promote inter-and cross-cultural research, as well as inter-and cross-ASA research. Both are relevant research goals for the ASA community, which is fundamentally interested in variation between two populations: humans and ASAs; for example, how different cultural groups perceived specific ASAs (Qu et al, 2013;Salem et al, 2014;Obaid et al, 2016). We also hope that the work and procedure presented to provide a blueprint for future translations of ASA questionnaires into other languages.…”

Section: Discussionmentioning

confidence: 99%

Mandarin Chinese translation of the Artificial-Social-Agent questionnaire instrument for evaluating human-agent interaction

Li,

Fitrianie,

Bruijnes

et al. 2023

Front. Comput. Sci.

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The Artificial-Social-Agent (ASA) questionnaire is an instrument for evaluating human-ASA interaction. It consists of 19 constructs and related dimensions measured by either 24 questionnaire items (short version) or 90 questionnaire items (long version). The questionnaire was built and validated by a research community effort to make evaluation results more comparable between agents and findings more generalizable. The current questionnaire is in English, which limits its use to only a population with an adequate command of the English language. Translating the questionnaire into more languages allows for the inclusion of other populations and the possibility of comparing them. Therefore, this paper presents a Mandarin Chinese translation of the questionnaire. After three construction cycles that included forward and backward translation, we gave both the final version of the translated and original English questionnaire to 242 bilingual crowd-workers to evaluate 14 ASAs. Results show on average a good level of correlation on the construct/dimension level (ICC M = 0.79, SD = 0.09, range [0.61, 0.95]) and on the item level (ICC M = 0.62, SD = 0.14, range [0.19, 0.92]) between the two languages for the long version, and for the short version (ICC M = 0.66, SD = 0.12, range [0.41, 0.92]). The analysis also established correction values for converting questionnaire item scores between Chinese and English questionnaires. Moreover, we also found systematic differences in English questionnaire scores between the bilingual sample and a previously collected mixed-international English-speaking sample. We hope this and the Chinese questionnaire translation will motivate researchers to study human-ASA interaction among a Chinese literate population and to study cultural similarities and differences in this area.

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“…Individuals may be more willing to interact with robots that seem to belong to the same cultural group (Obaid et al, 2016). Especially considering that robots are mostly developed by Japanese, it may cause Asian figures to appear more in the design of robots (MacDorman, Vasudevan & Ho, 2009).…”

Section: A Cultural Comparison Of Attitudes Towards Service Robotsmentioning

confidence: 99%

Tourist behavior after service robots

Koç,

Yazıcı Ayyıldız,

Baykal

2024

Journal of Multidisciplinary Academic Tourism

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This is a conceptual review paper explains and discusses the role and potential of service robots in tourism and hospitality from the perspective of consumer behavior. The adoption and use of robots have increased rapidly in tourism and hospitality over the past few years due to a number of reasons. With the developments in digital technology and artificial intelligence, the use of robots has become cheaper and easier for businesses in various industries including tourism. Moreover, the developments such as the Covid-19 pandemic accelerated the adoption of robots in tourism and hospitality where interaction with the customer is frequent and intense. In line with the growth of the adoption and the use of service robots in the industry, there is a growing body of research in the field. The future potential of service robots and their adoption by businesses depend very much on a better understanding of service robots. This review study explores attitudes and expectations of consumers regarding the use of service robots at hotels.

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Investigating Effects of Professional Status and Ethnicity in Human-Agent Interaction

Cited by 7 publications

References 18 publications

Service robot implementation: a theoretical framework and research agenda

Service robot implementation: a theoretical framework and research agenda

Mandarin Chinese translation of the Artificial-Social-Agent questionnaire instrument for evaluating human-agent interaction

Tourist behavior after service robots

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