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

Kasap, Zerrin; Magnenat‐Thalmann, Nadia

doi:10.1007/s00371-011-0630-7

Cited by 48 publications

(19 citation statements)

References 21 publications

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“…Further, Lee et al demonstrated verbal behaviour could be used to accurately portray extrovert or introvert personalities and that there was a complimentary personality attraction effect between robot and participants [15]. With regards to memory, Kasap and Magenant-Thalman report that reference to past interactions prevented the usual decline in engagement over time [18].…”

Section: Related Workmentioning

confidence: 99%

Shut up and play: A musical approach to engagement and social presence in Human Robot Interaction

McCallum

McOwan

2014

The 23rd IEEE International Symposium on Robot and Human Interactive Communication

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With a view to studying the development of social relationships between humans and robots, it is our contention that music can help provide extended engagement and open ended interaction. In this paper we explore the effectiveness of music as a mode of engagement using Mortimer, a robot able to play a drum kit and employing a composition algorithm to respond to a human pianist. We used this system to conduct a comparative study into the effects of presenting the robot as a social actor or as an instrument. Using automated behavioural metrics, including face tracking, we found that participants in the social actor condition played for longer uninterrupted and stopped the robot mid-performance less. They also spent more time looking at the robot when not playing and less time looking at the piano when playing. We suggest these results indicate greater fluency of playing and engagement and more feelings of social presence towards the robot when presented as a social actor The 23rd IEEE International Symposium on Robot and Human Interactive Communication

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Section: Related Workmentioning

confidence: 99%

Shut up and play: A musical approach to engagement and social presence in Human Robot Interaction

McCallum

McOwan

2014

The 23rd IEEE International Symposium on Robot and Human Interactive Communication

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“…In addition, each introductory chat and each closing chat will follow the same format with slight variations. Variation can help build rapport and increase continued engagement [18,19].…”

Section: ) Proceduresmentioning

confidence: 99%

“…A learning companion may be more successful at helping children learn if tailored to the needs of individuals. Some interactive systems for older children or adults have incorporated adaptation to individuals, generally finding greater engagement and learning outcomes than the same systems without adaptation [6,12,18]. Change in the robot's speech and behavior over time may be crucial for maintaining engagement over multiple encounters and in building a long-term relationship [2,19,20].…”

Section: Areas For Improvementmentioning

confidence: 99%

Storytelling with robots: Learning companions for preschool children's language development

Kory

Breazeal

2014

The 23rd IEEE International Symposium on Robot and Human Interactive Communication

141

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Abstract-Children's oral language skills in preschool can predict their academic success later in life. As such, increasing children's skills early on could improve their success in middle and high school. To this end, we propose that a robotic learning companion could supplement children's early language education. The robot targets both the social nature of language learning and the adaptation necessary to help individual children. The robot is designed as a social character that interacts with children as a peer, not as a tutor or teacher. It will play a storytelling game, during which it will introduce new vocabulary words, and model good story narration skills, such as including a beginning, middle, and end; varying sentence structure; and keeping cohesion across the story. We will evaluate whether adapting the robot's level of language to the child's -so that, as children improve their storytelling skills, so does the robot -influences (i) whether children learn new words from the robot, (ii) the complexity and style of stories children tell, (iii) the similarity of children's stories to the robot's stories. We expect children will learn more from a robot that adapts to maintain an equal or greater ability than the children, and that they will copy its stories and narration style more than they would with a robot that does not adapt (a robot of lesser ability). However, we also expect that playing with a robot of lesser ability could prompt teaching or mentoring behavior from children, which could also be beneficial to language learning.

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“…8 It has 27 degrees of freedom (DOF) with 7 DOF on the face, 3 on the neck, 3 for the torso, and 14 for the arms. We developed a motion controller to animate the robot and make it react in real time, inspired by our previous work with a human-like robotic head (Kasap & Magnenat-Thalmann, 2012). …”

Section: Motion Control For the Virtual Human And Human-like Robotmentioning

confidence: 99%

Modelling Multi-Party Interactions among Virtual Characters, Robots, and Humans

Yumak

Ren

Thalmann

et al. 2014

Presence: Teleoperators and Virtual Environments

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3D virtual humans and physical human-like robots can be used to interact with people in a remote location in order to increase the feeling of presence. In a telepresence setup, their behaviors are driven by real participants. We envision that in the absence of the real users, when they have to leave or they do not want to do a repetitive task, the control of the robots can be handed to an artificial intelligence component to sustain the ongoing interaction. At the point when human-mediated interaction is required again, control can be returned to the real users. One of the main challenges in telepresence research is the adaptation of 3D position and orientation of the remote participants to the actual physical environment to have appropriate eye contact and gesture awareness in a group conversation. In case the human behind the robot and/or virtual human leaves, multi-party interaction should be handed to an artificial intelligence component. In this paper, we discuss the challenges in autonomous multi-party interaction among virtual characters, humanlike robots, and real participants, and describe a prototype system to study these challenges.

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

Cited by 48 publications

References 21 publications

Shut up and play: A musical approach to engagement and social presence in Human Robot Interaction

Shut up and play: A musical approach to engagement and social presence in Human Robot Interaction

Storytelling with robots: Learning companions for preschool children's language development

Modelling Multi-Party Interactions among Virtual Characters, Robots, and Humans

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