Robot Gendering: Influences on Trust, Occupational Competency, and Preference of Robot Over Human

Rogers, Kantwon; Bryant, De’Aira; Howard, Ayanna M.

doi:10.1145/3334480.3382930

Cited by 15 publications

(5 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, robots that interact with people have emerged as a target of study. Efforts in human-robot interaction (HRI) have indicated that the perceived gender of the robot [3,4,6,8,10,13,19,27,29], the gender of the participant [8,9,18,30,33], and the gendering of the robot's embodiment in terms of role, task, and/or environment [5,20,31] can play a significant role.…”

Section: Introductionmentioning

confidence: 99%

Exploring Gender-Expansive Categorization Options for Robots

Seaborn

Pennefather²,

Kotani

2022

CHI Conference on Human Factors in Computing Systems Extended Abstracts

View full text Add to dashboard Cite

Gender is increasingly being explored as a social characteristic ascribed to robots by people. Yet, research involving social robots that may be gendered tends not to address gender perceptions, such as through pilot studies or manipulation checks. Moreover, research that does address gender perceptions has been limited by a reliance on the human gender binary model of feminine and masculine, prescriptive response options, and/or researcher assumptions and/or ascriptions of participant gendering. In response, we conducted an online pilot categorization study (n=55) wherein we provided gender-expansive response options for rating four robots ranging across four levels of anthropomorphism. Findings indicate that people gender robots in diverse ways, and not necessarily in relation to the gender binary. Additionally, less anthropomorphic robots and the childlike humanoid robot were deemed masculine, while the iconic robot was deemed gender neutral, fluid, and/or ambiguous. We discuss implications for future work on all humanoid robots. CCS CONCEPTS • Human-centered computing~Human computer interaction (HCI) • Social and professional topics~User characteristics~Gender

show abstract

Section: Introductionmentioning

confidence: 99%

Exploring Gender-Expansive Categorization Options for Robots

Seaborn

Pennefather²,

Kotani

2022

CHI Conference on Human Factors in Computing Systems Extended Abstracts

View full text Add to dashboard Cite

show abstract

“…AI has the potential to cause the loss of jobs in certain industries. As much as 40%–50% of the workforce, or more in developing countries, is vulnerable to technological job displacement [ 8 , 76 ]. In care roles, for example, research suggests that the elderly may prefer robots to humans for certain tasks [ 77 , 78 , 79 ].…”

Section: Resultsmentioning

confidence: 99%

“… Engaging Stakeholders to Design an Intelligent Decision Support Tool in the Occupational Health Context [ 118 ] 2020 Lead Human-centered systems design Rogers, R., Bryant, D., Howard, A. Robot Gendering: Influences on Trust, Occupational Competency, and Preference of Robot Over Human [ 76 ] 2020 Lead Job security, privacy Saraçyakupoğlu, T. The Adverse Effects of Implementation of the Novel Systems in the Aviation Industry in Pursuit of Maneuvering Characteristics Augmentation System [ 30 ] 2020 Secondary Human-centered systems design Savela, N., Turja, T., Oksanen, A. Social Acceptance of Robots in Different Occupational Fields: A Systematic Literature Review [ 151 ] 2018 Secondary Privacy Schulte, P., Howard, J.…”

Section: Table A1mentioning

confidence: 99%

Occupational Safety and Health Equity Impacts of Artificial Intelligence: A Scoping Review

Fisher

Flynn

Pratap

et al. 2023

IJERPH

View full text Add to dashboard Cite

Artificial intelligence (AI) has the potential to either reduce or exacerbate occupational safety and health (OSH) inequities in the workplace, and its impact will be mediated by numerous factors. This paper anticipates challenges to ensuring that the OSH benefits of technological advances are equitably distributed among social groups, industries, job arrangements, and geographical regions. A scoping review was completed to summarize the recent literature on AI’s role in promoting OSH equity. The scoping review was designed around three concepts: artificial intelligence, OSH, and health equity. Scoping results revealed 113 articles relevant for inclusion. The ways in which AI presents barriers and facilitators to OSH equity are outlined along with priority focus areas and best practices in reducing OSH disparities and knowledge gaps. The scoping review uncovered priority focus areas. In conclusion, AI’s role in OSH equity is vastly understudied. An urgent need exists for multidisciplinary research that addresses where and how AI is being adopted and evaluated and how its use is affecting OSH across industries, wage categories, and sociodemographic groups. OSH professionals can play a significant role in identifying strategies that ensure the benefits of AI in promoting workforce health and wellbeing are equitably distributed.

show abstract

“…The concept of emotional design has been widely adopted in both industry and academia. A few examples of this are displaying emoticons to represent a product's emotional state [23][24][25], influencing a user's perception of a product through the gender of the voice [26][27][28][29], or selecting a product's emotion color based on the correlation between emotion and color [10,30,31]. Even though all of the above address emotional design in smart products, they are not considered systematically.…”

Section: Literature Review 21 Examples Of Emotional Design For Smart ...mentioning

confidence: 99%

An Emotional Design Model for Future Smart Product Based on Grounded Theory

Chao

Chen

et al. 2023

Systems

View full text Add to dashboard Cite

Recently, smart products have not only demonstrated more functionality and technical capabilities but have also shown a trend towards emotional expression. Emotional design plays a crucial role in smart products as it not only influences users’ perception and evaluation of the product but also promotes collaborative communication between users and the product. In the future, emotional design of smart products needs to be regarded as an important comprehensive design issue, rather than simply targeting a specific element. It should consider factors such as design systems, values, business strategies, technical capabilities, design ethics, and cultural responsibilities. However, currently, there is a lack of a design model that combines these elements. Currently, there are numerous practices in emotional design for smart products from different perspectives. They provide us an opportunity to build a comprehensive design model based on a large number of design case studies. Therefore, this study employed a standardized grounded theory approach to investigate 80 smart products and conducted interviews with 12 designers to progressively code and generate a design model. Through the coding process, this research extracted 547 nodes and gradually formed 10 categories, ultimately resulting in a design model comprising 5 sequential steps. This model includes user requirements, concept definition, design ideation, design implementation, and evaluation, making it applicable to most current and future emotional design issues in smart products.

show abstract

Robot Gendering: Influences on Trust, Occupational Competency, and Preference of Robot Over Human

Cited by 15 publications

References 7 publications

Exploring Gender-Expansive Categorization Options for Robots

Exploring Gender-Expansive Categorization Options for Robots

Occupational Safety and Health Equity Impacts of Artificial Intelligence: A Scoping Review

An Emotional Design Model for Future Smart Product Based on Grounded Theory

Contact Info

Product

Resources

About