Towards interactive robots in autism therapy: background, motivation and challenges
By Kerstin Dautenhahn, I. Werry. 2004
512 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/a08b11f0a30e2ea97ab334a79d463ca7184f545d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Brian Scassellati
- Iolanda Leite
- Ana Paiva
- Ben Robins
- Carlos Roque Martinho
- Aude Gemma Billard
- Paul Dickerson
- Kaska Porayska-Pomsta
In Cognitive Neuroscience
- Kerstin Dautenhahn
- Brian Scassellati
- Joshua John Diehl
- Lauren M. Schmitt
- Charles R. Crowell
- Michael Anthony Villano
- Ben Robins
- François Michaud
Citations in the corpus
- Social Robots for Long-Term Interaction: A Survey (2013, methodology): “Social robots have also been employed successfully in autism related therapy [11, 52].”
- Exploring the use of a mobile robot as an imitation agent with children with low-functioning autism (2008, methodology): “The AuRoRA project (Autonomous Robotic platform as a Remedial tool for children with Autism) [14] [15] [16] [17] is certainly now one of the best-known initiatives within this subject area.”
- Personalized machine learning for robot perception of affect and engagement in autism therapy (2018, background): “Thus, there is a need for (semi)autonomous and data-driven robots that can learn and recognize the child’s behavioral cues and respond smoothly (18), a challenge discussed in several pioneering works on robot-assisted therapy (17, 19).”
- On the Impact of Robotics in Behavioral and Cognitive Sciences: From Insect Navigation to Human Cognitive Development (2010, unknown): “gestural imitation [37], facial imitation [107], turn-taking [39], bodily awareness [38], or joint attention [45].”
- ECHOES: An intelligent serious game for fostering social communication in children with autism (2014, methodology): “Different robotic platforms have been used in the context of the AuRoRa project [16], from simple mobile robots to more anthropomorphic creatures.”
- From Isolation to Communication: A Case Study Evaluation of Robot Assisted Play for Children with Autism with a Minimally Expressive Humanoid Robot (2009, methodology): “Our approach to use robots is hoped in future to fulfil a complementary role: exploiting the fact that children with autism, like most children, show a great affinity towards robots, and using the robot as a useful and programmable toy in a therapeutic/educational context [3].”
- Robotic assistants in therapy and education of children with autism: can a small humanoid robot help encourage social interaction skills? (2005, background): “tion and therapy of children with autism [9].”
- Socially intelligent robots: dimensions of human–robot interaction (2007, unknown): “In Dautenhahn & Werry (2004), the basic motivation, starting points, related work, as well as the psychological background of this work are discussed in detail.”
- Social Robots as Embedded Reinforcers of Social Behavior in Children with Autism (2012, background): “Small numbers of children with autism have been observed to prefer interaction with a robot to that with an unfamiliar adult behaving like a robot (Dautenhahn and Werry 2004; Robins et al. 2006), and children with autism have also been shown to prefer interacting with their caregivers, to…”
- Title of paper : KASPAR – A Minimally Expressive Humanoid Robot for Human-Robot Interaction Research (2009, unknown): “Our research group has been involved for more than 10 years in studies that investigate the potential use of robots in autism therapy (Dautenhahn and Werry, 2004) as part of the Aurora project (Aurora 2008).”
- The Clinical Use of Robots for Individuals with Autism Spectrum Disorders: A Critical Review (2012, methodology): “…findings showed that many (but not all) individuals with ASD showed a preference for robot-like characteristics over non-robotic toys and humans (Dautenhahn & Werry, 2004; Robins et al., 2006), and even responded faster when cued by robotic movement than human movement (Bird et al., 2007;…”