Adaptive Social Robot for Sustaining Social Engagement during Long-Term Children–Robot Interaction

Ahmad, Muneeb Imtiaz; Mubin, Omar; Orlando, Joanne

doi:10.1080/10447318.2017.1300750

Cited by 83 publications

(74 citation statements)

References 24 publications

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“…Our first research question was which robot characteristics and interaction styles directly influence closeness and trust. In terms of robot characteristics, a robot's increased responsiveness tended to stimulate closeness between a child and a robot [4,88] as well as children's trust in a robot [23,49]. Additionally, a robot's expressiveness generally seemed important to closeness [105,115,150], whereas adjusting a robot's degree of expressiveness did not further increase closeness [65,70].…”

Section: Effects Of Predictors On Closeness and Trustmentioning

confidence: 99%

Child–Robot Relationship Formation: A Narrative Review of Empirical Research

Straten

Peter

Kühne

2019

Int J of Soc Robotics

103

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This narrative review aimed to elucidate which robot-related characteristics predict relationship formation between typically-developing children and social robots in terms of closeness and trust. Moreover, we wanted to know to what extent relationship formation can be explained by children's experiential and cognitive states during interaction with a robot. We reviewed 86 journal articles and conference proceedings published between 2000 and 2017. In terms of predictors, robots' responsiveness and role, as well as strategic and emotional interaction between robot and child, increased closeness between the child and the robot. Findings about whether robot features predict children's trust in robots were inconsistent. In terms of children's experiential and cognitive states during interaction with a robot, robot characteristics and interaction styles were associated with two experiential states: engagement and enjoyment/liking. The literature hardly addressed the impact of experiential and cognitive states on closeness and trust. Comparisons of children's interactions with robots, adults, and objects showed that robots are perceived as neither animate nor inanimate, and that they are entities with whom children will likely form social relationships. Younger children experienced more enjoyment, were less sensitive to a robot's interaction style, and were more prone to anthropomorphic tendencies and effects than older children. Tailoring a robot's sex to that of a child mainly appealed to boys.

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Section: Effects Of Predictors On Closeness and Trustmentioning

confidence: 99%

Child–Robot Relationship Formation: A Narrative Review of Empirical Research

Straten

Peter

Kühne

2019

Int J of Soc Robotics

103

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“…Although robots with social abilities can provide engaging interactions with people, maintaining engagement with different kinds of users is important but challenging [14][15][16]. For example, people interacting with robots 'in the wild' can disengage with the robots at any time compared to in-laboratory settings [15].…”

Section: Introductionmentioning

confidence: 99%

“…The second strategy is adapting robot behaviors to the user's affective states. Ahmad et al [16] showed that emotion-based adaptation is the most effective way to sustain social engagement during long-term children-robot interaction. Chan and Nejat [28] implemented a method to promote engagement in cognitively stimulating activities taking into account user's affective states.…”

Section: Introductionmentioning

confidence: 99%

“Hmm, Did You Hear What I Just Said?”: Development of a Re-Engagement System for Socially Interactive Robots

et al. 2019

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Maintaining engagement is challenging in human–human interaction. When disengagements happen, people try to adapt their behavior with an expectation that engagement will be regained. In human–robot interaction, although socially interactive robots are engaging, people can easily drop engagement while interacting with robots. This paper proposes a multi-layer re-engagement system that applies different strategies through human-like verbal and non-verbal behaviors to regain user engagement, taking into account the user’s attention level and affective states. We conducted a usability test in a robot storytelling scenario to demonstrate technical operation of the system as well as to investigate how people react when interacting with a robot with re-engagement ability. Our usability test results reveal that the system has the potential to maintain a user’s engagement. Our selected users gave positive comments, through open-ended questions, to the robot with this ability. They also rated the robot with the re-engagement ability higher on several dimensions, i.e., animacy, likability, and perceived intelligence.

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“…Emotions are one of the basic principles of social interaction [71] and the significance of understanding emotions and adapting to them during robotic interactions has been consistently reported in various studies based off short term interactions [72,73]. Most of these studies have presented and utilised algorithms that give information about user's affective state through facial scan in real-time.…”

Section: User Emotions and Adaptationmentioning

confidence: 99%

“…Recent studies have utilised the data based on user profile and performance [41,73] to implement memory based adaptations, We believe that researchers need to find more sophisticated means to implement robots that modify their actions based on past interactions of the user. As such adaptation system would require storing user data, therefore, we need ethical guidelines for researchers on the use of data.…”

Section: Robot's Memory and Adaptationmentioning

confidence: 99%

A Systematic Review of Adaptivity in Human-Robot Interaction

Ahmad

Mubin

Orlando

2017

MTI

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Abstract:As the field of social robotics is growing, a consensus has been made on the design and implementation of robotic systems that are capable of adapting based on the user actions. These actions may be based on their emotions, personality or memory of past interactions. Therefore, we believe it is significant to report a review of the past research on the use of adaptive robots that have been utilised in various social environments. In this paper, we present a systematic review on the reported adaptive interactions across a number of domain areas during Human-Robot Interaction and also give future directions that can guide the design of future adaptive social robots. We conjecture that this will help towards achieving long-term applicability of robots in various social domains.

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Adaptive Social Robot for Sustaining Social Engagement during Long-Term Children–Robot Interaction

Cited by 83 publications

References 24 publications

Child–Robot Relationship Formation: A Narrative Review of Empirical Research

Child–Robot Relationship Formation: A Narrative Review of Empirical Research

“Hmm, Did You Hear What I Just Said?”: Development of a Re-Engagement System for Socially Interactive Robots

A Systematic Review of Adaptivity in Human-Robot Interaction

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