When Stereotypes Meet Robots: The Effect of Gender Stereotypes on People’s Acceptance of a Security Robot

Tay, Benedict Tiong Chee; Park, Taezoon; Jung, Younbo; Tan, Yeow Kee; Wong, Adison

doi:10.1007/978-3-642-39360-0_29

Cited by 27 publications

(8 citation statements)

References 45 publications

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“…Robots that are framed in human-like terms may unfortunately entrench existing cultural biases that are harmful to certain social groups. 95 The anthropomorphic framing of robots could propagate gender or racial stereotypes. Andra Keay surveyed the names creators gave their robots based on data from robotics competitions.…”

Section: Gender and Racial Stereotypesmentioning

confidence: 99%

'Who's Johnny?' Anthropomorphic Framing in Human-Robot Interaction, Integration, and Policy

Darling

2015

SSRN Journal

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Section: Gender and Racial Stereotypesmentioning

confidence: 99%

'Who's Johnny?' Anthropomorphic Framing in Human-Robot Interaction, Integration, and Policy

Darling

2015

SSRN Journal

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“…Female robots with long hair are perceived as more communal than male robots with short-haired, while male robots with short hair are perceived as more agentic than females. Other studies found that participants evaluated a robot as more masculine when it performs a security job and more feminine when it performs a guidance-related job [28].…”

Section: Evidence For Gender Attribution To Robotsmentioning

confidence: 99%

Gendered Actions with a Genderless Robot: Gender Attribution to Humanoid Robots in Action

Aşkın¹,

Saltik²,

Boz³

et al. 2022

Preprint

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The present study aims to investigate how gender stereotypes affect people's gender attribution to social robots. To this end, we examined whether a robot can be attributed a gender depending on a performed action. The study consists of 3 stages. In the first stage, we determined masculine and feminine actions by a survey conducted with 54 participants. In the second stage, we selected a gender-neutral robot by having 76 participants rate several robot stimuli in the masculine-feminine spectrum. In the third stage, we created short animation videos in which the gender-neutral robot determined in stage two performed the masculine and feminine actions determined in stage one. We then asked 102 participants to evaluate the robot in the videos in the masculine-feminine spectrum. We asked them to rate the videos according to their own view (self-view) and how they thought the society would evaluate them (society-view). We also used the Socialization of Gender Norms Scale (SGNS) to identify individual differences in gender attribution to social robots. We found the main effect of action type (feminine vs masculine) on both self-view reports and society-view reports suggesting that a neutral robot was reported to be feminine if it performed feminine actions and masculine if it performed masculine actions. However, society-view reports were more pronounced than the self-view reports: when the neutral robot performed masculine actions, it was found to be more masculine in the society-view reports than the self-view reports. Likewise, when the neutral robot performed feminine actions, it was found to be more feminine in the society-view reports than the self-view reports. In addition, the SGNS predicted the society-view reports (for feminine actions) but not the self-view reports. In sum, our study suggests that people can attribute gender to social robots depending on the task they perform.

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“…For example, Carpenter et al ( 2009 ) conducted a survey and found that in the family environment, users were more likely to use female robots. Tay et al ( 2013 ) suggested that customers preferred male robots in terms of robotic security guards. However, the service context is complex and volatile, and it is not clear whether male or female robots work better in gaining customers' acceptance.…”

Section: Theoretical Background and Hypotheses Developmentmentioning

confidence: 99%

The effect of service robot occupational gender stereotypes on customers' willingness to use them

Pan²,

Luo³

et al. 2022

Front. Psychol.

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Customers have obvious occupational gender stereotypes for service employees. In recent years, intelligent service robots have been widely used in the hospitality industry and have also been given gender characteristics to attract customers to use them. However, whether and when the usage of gendered service robots is effective remains to be explored. This research focuses on customers' occupational gender stereotypes and the gender of service robots, examining the influences of their consistency on customers' willingness to use service robots through three scenario studies. The findings suggest that: (1) The consistency between occupational gender stereotypes and service robot gender positively affects customers' willingness to use service robots. (2) Performance expectancy and trust are two psychological mechanisms underlying the above effect. (3) In the context of service failures, the consistency backfires and brings negative effects on willingness to use. This research extends the literature on customers' acceptance of anthropomorphized robots from the perspective of gender stereotypes and identifies the mechanisms behind the stereotype consistency effect. For practical implications, hotels should design and deploy gendered robots consistent with corresponding occupational gender stereotypes.

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When Stereotypes Meet Robots: The Effect of Gender Stereotypes on People’s Acceptance of a Security Robot

Cited by 27 publications

References 45 publications

'Who's Johnny?' Anthropomorphic Framing in Human-Robot Interaction, Integration, and Policy

'Who's Johnny?' Anthropomorphic Framing in Human-Robot Interaction, Integration, and Policy

Gendered Actions with a Genderless Robot: Gender Attribution to Humanoid Robots in Action

The effect of service robot occupational gender stereotypes on customers' willingness to use them

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