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Conference

International Conference on Social Robotics 

About: International Conference on Social Robotics is an academic conference. The conference publishes majorly in the area(s): Social robot & Robot. Over the lifetime, 767 publication(s) have been published by the conference receiving 6103 citation(s).
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Book ChapterDOI
29 Oct 2012
TL;DR: This review provides a comprehensive understanding of anthropomorphism in robotics, collects and reports relevant references, and gives an outlook on anthropomorphic human-robot interaction.
Abstract: In this literature review we explain anthropomorphism and its role in the design of socially interactive robots and human-robot interaction. We illustrate the social phenomenon of anthropomorphism which describes people's tendency to attribute lifelike qualities to objects and other non lifelike artifacts. We present theoretical backgrounds from social sciences, and integrate related work from robotics research, including results from experiments with social robots. We present different approaches for anthropomorphic and humanlike form in a robot's design related to its physical shape, its behavior, and its interaction with humans. This review provides a comprehensive understanding of anthropomorphism in robotics, collects and reports relevant references, and gives an outlook on anthropomorphic human-robot interaction.

187 citations


Book ChapterDOI
27 Oct 2013
TL;DR: This work provides the first demonstration of the ability to train multiple behaviors by such feedback without algorithmic modifications and of a robot learning from free-form human-generated feedback without any further guidance or evaluative feedback.
Abstract: We present a case study of applying a framework for learning from numeric human feedback–tamer–to a physically embodied robot. In doing so, we also provide the first demonstration of the ability to train multiple behaviors by such feedback without algorithmic modifications and of a robot learning from free-form human-generated feedback without any further guidance or evaluative feedback. We describe transparency challenges specific to a physically embodied robot learning from human feedback and adjustments that address these challenges.

119 citations


Book ChapterDOI
24 Nov 2011
TL;DR: Results indicated that only gazing independently led to increased persuasiveness when the robot combined it with (the persuasive strategy of) gazing, and without gazing, using persuasive gestures diminished robot persuadeasiveness.
Abstract: Social agency theory suggests that when an (artificial) agent combines persuasive strategies, its persuasive power increases. Therefore, we investigated whether a robot that uses two persuasive strategies is more persuasive than a robot that uses only one. Because in human face-to-face persuasion two crucial persuasive strategies are gazing and gestures, the current research investigated the combined and individual contribution of gestures and gazing on the persuasiveness of a storytelling robot. A robot told a persuasive story about the aversive consequences of lying to 48 participants. The robot used persuasive gestures (or not) and gazing (or not) to accompany this persuasive story. We assessed persuasiveness by asking participants to evaluate the lying individual in the story told by the robot. Results indicated that only gazing independently led to increased persuasiveness. Using persuasive gestures only led to increased persuasiveness when the robot combined it with (the persuasive strategy of) gazing. Without gazing, using persuasive gestures diminished robot persuasiveness. The implications of the current findings for theory and design of persuasive robots are discussed.

81 citations


Book ChapterDOI
27 Oct 2013
Abstract: Child-Robot Interaction (cHRI) is a promising point of entry into the rich challenge that social HRI is Starting from three years of experiences gained in a cHRI research project, this paper offers a view on the opportunities offered by letting robots interact with children rather than with adults and having the interaction in real-world circumstances rather than lab settings It identifies the main challenges which face the field of cHRI: the technical challenges, while tremendous, might be overcome by moving away from the classical perspective of seeing social cognition as residing inside an agent, to seeing social cognition as a continuous and self-correcting interaction between two agents

77 citations


Book ChapterDOI
23 Nov 2010
TL;DR: This work presents a system for the computer based automatic recognition of emotions and the new results obtained on a small dataset of quasi unconstrained emotional videos extracted from TV series and movies.
Abstract: When interacting with robots we show a plethora of affective reactions typical of natural communications. Indeed, emotions are embedded on our communications and represent a predominant communication channel to convey relevant, high impact, information. In recent years more and more researchers have tried to exploit this channel for human robot (HRI) and human computer interactions (HCI). Two key abilities are needed for this purpose: the ability to display emotions and the ability to automatically recognize them. In this work we present our system for the computer based automatic recognition of emotions and the new results we obtained on a small dataset of quasi unconstrained emotional videos extracted from TV series and movies. The results are encouraging showing a recognition rate of about 74%.

60 citations


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Performance
Metrics
No. of papers from the Conference in previous years
YearPapers
202179
202057
201972
201861
201775
201699