Development of a graphical user interface for a socially interactive robot: A case study evaluation

Banthia, Vikram; Maddahi, Yaser; May, Morgan; Blakley, David; Chang, Zixin; Gbur, Amanda; Tu, Chi; Sepehri, Nariman

doi:10.1109/iemcon.2016.7746294

Cited by 6 publications

(10 citation statements)

References 16 publications

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“…Although Kanda et al (2012) have tried to make the items more childappropriate by applying them to a specific use-context (i.e., use in a Lego class or in another class), the type of use (e.g., playing with the robot) remains unspecified. As a result, the items used by Kanda et al (2012) may be too abstract for the use among children in (early) middle childhood, and children's answers are likely to depend on the activity they imagine doing with the robot (Al-Taee et al, 2016;Banthia et al, 2016). All of this may result in systematic measurement error (Carpenter, 2018).…”

Section: Adults' Intentional Robot Acceptancementioning

confidence: 99%

“…The specific developmental preferences and needs associated with middle childhood as well as the specific affordances of social robots may give rise to particular uses of social robots and are thus relevant to the conceptualization of intentional social robot acceptance. This is reflected in CRI research that shows that children's acceptance of certain functions of a social robot is related to their age (Al-Taee et al, 2016;Banthia et al, 2016). For example, adolescents are, compared to children, less likely to accept companionship from a social robot (Al-Taee et al, 2016).…”

Section: Theoretical Definitionmentioning

confidence: 99%

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Intentional acceptance of social robots: Development and validation of a self-report measure for children

Jong¹,

Kühne²,

Peter³

et al. 2020

International Journal of Human-Computer Studies

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As the field of child-robot interaction (CRI) is still young, little consensus exists on the conceptual and methodological approach to the study of children's intentional acceptance of social robots, an important antecedent and an outcome of CRI. Against this background, the goal of this study was to develop and validate a self-report measure of intentional social robot acceptance (i.e., intention to use) for children. Partly based on measures for adults, we developed a four-item scale for children's intentional acceptance of social robots. We administered the measure along with the validation measures (i.e., enjoyment, social presence, and social anxiety) among 87 Dutch children aged 7 to 11 years. Our measure reliably and validly assessed children's intentional acceptance of social robots. As children are increasingly likely to encounter social robots in their lives, our measure may help to improve the study of children's acceptance of social robots and its pertinent processes.

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Section: Adults' Intentional Robot Acceptancementioning

confidence: 99%

Section: Theoretical Definitionmentioning

confidence: 99%

Intentional acceptance of social robots: Development and validation of a self-report measure for children

Jong¹,

Kühne²,

Peter³

et al. 2020

International Journal of Human-Computer Studies

View full text Add to dashboard Cite

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“…Compared to children, adolescents had a lower intentional acceptance of a helping role and companionship of the robot. A similar effect emerged for behavioral acceptance: younger children were interested in a robot for storytelling, whereas older children were interested in a robot for interaction and chatting (Banthia et al, 2016).…”

Section: Interactions Between Antecedentsmentioning

confidence: 71%

Children’s acceptance of social robots

Jong

Peter

Kühne

et al. 2019

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Social robots progressively enter children’s lives, but little is known about children’s acceptance of social robots and its antecedents. To fill this research gap, this narrative review surveyed 34 articles on child-robot interaction published between 2000 and 2017. We focused on robot, user, and interaction characteristics as potential antecedents of children’s intentional and behavioral social robot acceptance. In general, children readily accept robots. However, we found that social, adaptive robot behavior, children’s sex and age, as well as frequency of the interaction seem to affect acceptance. Additionally, we found various theoretical and methodological shortcomings in the field. The review concludes with recommendations and directions for future research on children’s acceptance of social robots.

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“…The development of social robots includes several algorithms as well as different implementations, such as face recognition, speech recognition, cognitive and decisionmaking modules [29,39,40,42,44,60,61,66], emotional modules [47,50], and ergonomics [43], which must also be considered fundamental. Achieving new levels of conversational modeling and knowledge and providing intelligent interactive platforms that can interact with users is a promising field [75].…”

Section: Discussionmentioning

confidence: 99%

“…Telemedicine provided benefits, such as communication and interaction assistance, to elders. [40] To present the development of a GUI for a commercially available humanoid robot to explore its interaction with children.…”

Section: Elderlymentioning

confidence: 99%

Social Robots in Hospitals: A Systematic Review

2021

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Hospital environments are facing new challenges this century. One of the most important is the quality of services to patients. Social robots are gaining prominence due to the advantages they offer; in particular, several of their main uses have proven beneficial during the pandemic. This study aims to shed light on the current status of the design of social robots and their interaction with patients. To this end, a systematic review was conducted using WoS and MEDLINE, and the results were exhaustive analyzed. The authors found that most of the initiatives and projects serve the elderly and children, and specifically, that they helped these groups fight diseases such as dementia, autism spectrum disorder (ASD), cancer, and diabetes.

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Development of a graphical user interface for a socially interactive robot: A case study evaluation

Cited by 6 publications

References 16 publications

Intentional acceptance of social robots: Development and validation of a self-report measure for children

Intentional acceptance of social robots: Development and validation of a self-report measure for children

Children’s acceptance of social robots

Social Robots in Hospitals: A Systematic Review

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