Children's adaptation in multi-session interaction with a humanoid robot

Nalin, Marco; Baroni, Ilaria; Kruijff-Korbayová, Ivana; Cañamero, Lola; Lewis, Matthew; Beck, Aryel; Cuayáhuitl, Heriberto; Sanna, Alberto

doi:10.1109/roman.2012.6343778

Cited by 33 publications

(35 citation statements)

References 21 publications

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“…We also observed empathic responses to flaws in Robin's behavior, as we had already observed with the ALIZ-E Integrated System [42]. An example of this was when Robin fell over.…”

Section: Robin Treated As a Social Agentsupporting

confidence: 80%

Making New “New AI” Friends: Designing a Social Robot for Diabetic Children from an Embodied AI Perspective

Cañamero

Lewis

2016

Int J of Soc Robotics

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Robin is a cognitively and motivationally autonomous affective robot toddler with "robot diabetes" that we have developed to support perceived self-efficacy and emotional wellbeing in children with diabetes. Robin provides children with positive mastery experiences of diabetes management in a playful but realistic and natural interaction context. Underlying the design of Robin is an "Embodied" (formerly also known as "New") Artificial Intelligence (AI) approach to robotics. In this paper we discuss the rationale behind the design of Robin to meet the needs of our intended end users (both children and medical staff), and how "New AI" provides a suitable approach to developing a friendly companion that fulfills the therapeutic and affective requirements of our end users beyond other approaches commonly used in assistive robotics and child-robot interaction. Finally, we discuss how our approach permitted our robot to interact with and provide suitable experiences of diabetes management to children with very different social interaction styles.

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“…We also observed empathic responses to flaws in Robin's behavior, as we had already observed with the ALIZ-E Integrated System [42]. An example of this was when Robin fell over.…”

Section: Robin Treated As a Social Agentsupporting

confidence: 80%

Making New “New AI” Friends: Designing a Social Robot for Diabetic Children from an Embodied AI Perspective

Cañamero

Lewis

2016

Int J of Soc Robotics

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“…Next, we present the outcomes related to the dance activity. Reports on the general experiment and other game activities part of the ALIZ-E framework can be found in [3,23].…”

Section: Experimental Methodsmentioning

confidence: 99%

Adaptive human–robot interaction in sensorimotor task instruction: From human to robot dance tutors

Ros

Baroni²,

Demiris

2014

Robotics and Autonomous Systems

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We explore the potential for humanoid robots to interact with children in a dance activity. In this context, the robot plays the role of an instructor to guide the child through several dance moves to learn a dance phrase. We participated in 30 dance sessions in schools to study human-human interaction between children and a human dance teacher, and to identify the applied methodologies. Based on the strategies observed, both social and task-dependent, we implemented a robotic system capable of autonomously instructing dance sequences to children while displaying basic social cues to engage the child in the task. Experiments were performed in a hospital with the Nao robot interacting with 12 children through multiple encounters, when possible (18 sessions, 236 minutes). Observational analysis through video recordings and survey evaluations were used to assess the quality of interaction. Moreover, we introduce an involvement measure based on the aggregation of observed behavioral cues to to assess the level of interest in the interaction through time. The analysis revealed high levels of involvement, while highlighting the need for further research into social engagement and adaptation with robots over repeated sessions.

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“…In doing so, we extend upon our previous work (e.g. Kruijff-Korbayova et al, 2012, by detailing the fundamental framework upon which the work is based, significantly extending the technical system, and providing a real implementation to our application domain according to previously elaborated motivations .…”

Section: Introductionmentioning

confidence: 99%

“…Further to the robot's embodiment (as discussed above), the appearance of the embodiment itself can imply cognitive abilities (Turkle, Breazeal, Dasté, & Scassellati, 2006;Hyun & Son, 2010;Beran et al, 2011), thus extending the implied possible interaction beyond that typically achievable with toys. Whether related to this effect directly or not, there is some indication that children will comply with instructions or suggestions from a robot , and also tend to align their behaviour with that of the robot (Nalin, Baroni, Kruijff-Korbayova, et al, 2012) during an interaction. Overt behavioural cues from the robot, such as gestures (Sidner, Lee, Kidd, Lesh, & Rich, 2005) and gaze (Markus, Eichberg, & Andre, 2012) are necessary to enable interaction; these tools can even be utilised with simplified embodiments (Kozima & Nakagawa, 2006).…”

Section: Introductionmentioning

confidence: 99%

Towards Long-Term Social Child-Robot Interaction: Using Multi-Activity Switching to Engage Young Users

Coninx

Baxter

Oleari³

et al. 2015

Journal of Human-Robot Interaction

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Social robots have the potential to provide support in a number of practical domains, such as learning and behaviour change. This potential is particularly relevant for children, who have proven receptive to interactions with social robots. To reach learning and therapeutic goals, a number of issues need to be investigated, notably the design of an effective child-robot interaction (cHRI) to ensure the child remains engaged in the relationship and that educational goals are met. Typically, current cHRI research experiments focus on a single type of interaction activity (e.g. a game). However, these can suffer from a lack of adaptation to the child, or from an increasingly repetitive nature of the activity and interaction. In this paper, we motivate and propose a practicable solution to this issue: an adaptive robot able to switch between multiple activities within single interactions. We describe a system that embodies this idea, and present a case study in which diabetic children collaboratively learn with the robot about various aspects of managing their condition. We demonstrate the ability of our system to induce a varied interaction and show the potential of this approach both as an educational tool and as a research method for long-term cHRI.

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Children's adaptation in multi-session interaction with a humanoid robot

Cited by 33 publications

References 21 publications

Making New “New AI” Friends: Designing a Social Robot for Diabetic Children from an Embodied AI Perspective

Making New “New AI” Friends: Designing a Social Robot for Diabetic Children from an Embodied AI Perspective

Adaptive human–robot interaction in sensorimotor task instruction: From human to robot dance tutors

Towards Long-Term Social Child-Robot Interaction: Using Multi-Activity Switching to Engage Young Users

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