As Time goes by: Long-term evaluation of social presence in robotic companions

Leite, Iolanda; Martinho, Carlos; Pereira, Ana Isabel; Paiva, Ana

doi:10.1109/roman.2009.5326256

Cited by 88 publications

(63 citation statements)

References 12 publications

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“…These signs show that the novelty effect diminishes across sessions (suggesting a habituation behavior previously observed in [20,19,15,29]), making it more challenging to keep the children engaged. On the other hand, two children addressed the robot by its name evidencing a gain of familiarity with the robot compared to first sessions, where no child referred to the robot by its name at all.…”

Section: Video Codingsupporting

confidence: 62%

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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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Section: Video Codingsupporting

confidence: 62%

“…Work on developing a social robot with empathetic capabilities (facial expressions only) to play chess with children is presented by Leite et al [19]. In their work 5 children played over a five-week period.…”

Section: Related Workmentioning

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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“…Bickmore et al [3] introduced the term "relational agent" and constructed a health advisor agent with social-emotional and long-term relationship-building skills. Leite et al [15] studied the role of social presence in long-term interaction with the iCat chess player robot.…”

Section: Introductionmentioning

confidence: 99%

Building long-term relationships with virtual and robotic characters: the role of remembering

Kasap

Magnenat‐Thalmann

2011

Vis Comput

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With the recent advances, today people are able to communicate with embodied (virtual/robotic) entities using natural ways of communication. In order to use them in our daily lives, they need to be intelligent enough to make long-term relationships with us and this is highly challenging. Previous work on long-term interaction frequently reported that after the novelty effect disappeared, users' interest into the interaction decreased with time. Our primary goal in this study was to develop a system that can still keep the attention of the users after the first interaction.Incorporating the notion of time, we think that the key to long-term interaction is the recall of past memories during current conversation. For this purpose, we developed a longterm interaction framework with remembering and dialogue planning capability. In order to see the effect of remembering on users, we designed a tutoring application and measured the changes in social presence and task engagement levels according to the existence of memory. Different from previous work, users' interest in our system did not decrease with time with the important contributions of remembering to the engagement level of users.

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“…While children may have a natural predisposition to easily engage with robots due to their novelty, it is also very challenging to sustain such an engagement over a long period of time when the novelty effect diminishes [22,35]. Therefore this work addresses the need for Preprint of paper to appear at the International Journal of Social Robotics (2016).…”

Section: Related Workmentioning

confidence: 99%

A Motivational Approach to Support Healthy Habits in Long-term Child–Robot Interaction

Ros

Oleari²,

Pozzi³

et al. 2016

Int J of Soc Robotics

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We examine the use of role-switching as an intrinsic motivational mechanism to increase engagement in long-term child-robot interaction. The present study describes a learning framework where children between 9 and 11-years-old interact with a robot to improve their knowledge and habits with regards to healthy life-styles. Experiments were carried out in Italy where 41 children were divided in three groups interacting with: (i ) a robot with a role-switching mechanism, (ii ) a robot without a role-switching mechanism and (iii ) an interactive video. Additionally, a control group composed of 43 more children, who were not exposed to any interactive approach, was used as a baseline of the study.During the intervention period, the three groups were exposed to three interactive sessions once a week. The aim of the study was to find any difference in healthy-habits acquisition based on alternative interactive systems, and to evaluate the effectiveness * raquel.ros.espinoza@gmail.com † oleari.elettra@hsr.it ‡ pozzi.clara@hsr.it § sacchitelli.francesca@hsr.it ¶ baranzini.daniele@hsr.it bagherzadhal.anahita@hsr.it * * sanna.alberto@hsr.it † † y.demiris@imperial.ac.uk of the role-switch approach as a trigger for engagement and motivation while interacting with a robot. The results provide evidence that the rate of children adopting healthy habits during the intervention period was higher for those interacting with a robot. Moreover, alignment with the robot behaviour and achievement of higher engagement levels were also observed for those children interacting with the robot that used the role-switching mechanism. This supports the notion that role-switching facilitates sustained long-interactions between a child and a robot.

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As Time goes by: Long-term evaluation of social presence in robotic companions

Cited by 88 publications

References 12 publications

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

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

Building long-term relationships with virtual and robotic characters: the role of remembering

A Motivational Approach to Support Healthy Habits in Long-term Child–Robot Interaction

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