A Two-Month Field Trial in an Elementary School for Long-Term Human–Robot Interaction

Kanda, Takayuki; Satō, Reiko; Saiwaki, Naoki; Ishiguro, Hiroshi

doi:10.1109/tro.2007.904904

Cited by 314 publications

(236 citation statements)

References 21 publications

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“…In general, children were engaged with the robot and motivated to finish the task in their first session. In average, they only looked away from the robot 5% of the time and expressed amusement 16 signs of boredom. They revealed proactive behaviors and tried to communicate with the robot both verbally and non-verbally (communicative acts).…”

Section: Video Codingmentioning

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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Section: Video Codingmentioning

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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“…Several studies videotape the interaction situation, although there is not a common instrument to define interactive behaviour. For instance, the number of children interacting with a robot and the average time of interaction per week to evaluate childrenrobot interactive behaviour were defined in [27]. In [31], interaction between preschoolers and Aibo robots was videotaped, encoding the number of instances of treating the robot as an artefact or as a machine (poking, shaking), instances of affection (hugging, petting, kissing, stroking), the attempts at reciprocal interaction (offering a ball, talking to, motioning to) and the instances of apprehension (because children were interacting with unfamiliar objects).…”

Section: A Andrés Et Al / New Instrumentation For Human Robot Intermentioning

confidence: 99%

“…Considering the theoretical basis presented in [4,18,27,31], a table with the basic traits of the setting is proposed. This taxonomy allows the evaluation of the initial conditions of the interaction context (see Table 2).…”

Section: Assessing the Setting: How Was The Scenario?mentioning

confidence: 99%

New instrumentation for human robot interaction assessment based on observational methods

Andrés

Pardo

Díaz

et al. 2015

AIS

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Abstract. Research studies in Human Robot Interaction (HRI) with social robots usually gather observational data in order to explore the dynamics of short and long-term interactions. The most common approach for the analysis of observational data is the proposal of a small number of behavioural units which frequency and/or duration is captured. As a consequence, comparing results between studies is difficult. The present manuscript proposes a procedure to assess the complete human-robot interactive activity. Experiences with two different robots were analysed using the novel instrumentation, leading to further considerations. Finally, general guidelines extracted from experimentation are proposed to assess the interaction quality between social robots and users. Further studies can be benefited from the proposed instruments, which are expected to be validated in different HRI contexts (e.g., school, hospitals, home) with different users (e.g., children, elderly, hospitalised people).

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“…Also, Osada (2005) made Papero perform the following activities: conversation, different reactions for touching different points, roll-call of attendees, quizzes, communication over mobile phone, and making stories. Kanda et al (2007) revealed that robots might need to use children's native language in order to establish relationships as well as to teach foreign languages. Robovie serves hundreds of interactive behaviours such as shaking hands, hugging, playing rock-paperscissors, exercising, greeting, kissing, singing, briefly conversing, and pointing to an object in the surroundings.…”

Section: R-learning Servicesmentioning

confidence: 99%

Robot-Aided Learning and r-Learning Services

Han¹

2010

Human-Robot Interaction

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A Two-Month Field Trial in an Elementary School for Long-Term Human–Robot Interaction

Cited by 314 publications

References 21 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

New instrumentation for human robot interaction assessment based on observational methods

Robot-Aided Learning and r-Learning Services

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