Socially Assistive Robotics

Feil-Seifer, David; Matarić, Maja J.

doi:10.1109/icorr.2005.1501143

Cited by 615 publications

(438 citation statements)

References 28 publications

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“…Socially assistive robotics [15], which focuses on aiding through social rather than physical interaction between the robot and the human user, has the potential to enhance quality of life for large user populations, including the elderly [55], people with physical impairments and those involved in rehabilitation therapy (e.g., post-stroke patients) [10], and people with cognitive disabilities and social and developmental disorders (e.g., children with autism, children with attention deficit/hyperactivity disorder (AD/HD)) [43,45,46]. Hence, one of the main goals of socially assistive robotics is to create stimulating and engaging interactions in which a user actively participates for an extended period of time in order to achieve the goals of the task (therapy, rehabilitation, training, etc.…”

Section: Introductionmentioning

confidence: 99%

User—robot personality matching and assistive robot behavior adaptation for post-stroke rehabilitation therapy

Tapus¹,

Ţăpuş

Matarić

2008

Intel Serv Robotics

338

195

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This paper describes a hands-off socially assistive therapist robot designed to monitor, assist, encourage, and socially interact with post-stroke users engaged in rehabilitation exercises. We investigate the role of the robot's personality in the hands-off therapy process, focusing on the relationship between the level of extroversion-introversion of the robot and the user. We also demonstrate a behavior adaptation system capable of adjusting its social interaction parameters (e.g., interaction distances/proxemics, speed, and vocal content) toward customized post-stroke rehabilitation therapy based on the user's personality traits and task performance. Three validation experiment sets are described. The first maps the user's extroversion-introversion personality dimension to a spectrum of robot therapy styles that range from challenging to nurturing. The second and the third experiments adjust the personality matching dynamically to adapt the robot's therapy styles based on user personality and performance. The reported results provide first evidence for user preference for personality matching in the assistive domain and demonstrate how the socially assistive robot's This work was supported by USC Women in Science and Engineering (WiSE) Program and the Okawa Foundation. autonomous behavior adaptation to the user's personality can result in improved human task performance.

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Section: Introductionmentioning

confidence: 99%

User—robot personality matching and assistive robot behavior adaptation for post-stroke rehabilitation therapy

Tapus¹,

Ţăpuş

Matarić

2008

Intel Serv Robotics

338

195

View full text Add to dashboard Cite

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“…Socially assistive robotics defines the robot's goal to be the creation of "close and effective interaction with a human user for the purpose of giving assistance and achieving measurable progress in convalescence, rehabilitation, learning, etc." [18]. Some related applications are robots as exercise coaches, evaluating the moves of the interacting humans [17], and guiding robots providing context-dependent information to people [29].…”

Section: Socially Assistive Roboticsmentioning

confidence: 99%

Human Behavior Understanding for Robotics

Salah

Ruiz‐del‐Solar²,

Meriçli

et al. 2012

Human Behavior Understanding

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Abstract. Human behavior is complex, but structured along individual and social lines. Robotic systems interacting with people in uncontrolled environments need capabilities to correctly interpret, predict and respond to human behaviors. This paper discusses the scientific, technological and application challenges that arise from the mutual interaction of robotics and computational human behavior understanding. We supply a short survey of the area to provide a contextual framework and describe the most recent research in this area.

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“…Currently, research on Socially Assistive Robotics (SAR) is expanding (Feil-Seifer and Mataric 2005;Tapus et al 2007). One of the target populations is people suffering from autism spectrum disorders (ASD).…”

Section: Introductionmentioning

confidence: 98%

Impact of sensory preferences of individuals with autism on the recognition of emotions expressed by two robots, an avatar, and a human

et al. 2016

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We design a personalized human-robot environment for social learning for individuals with autism spectrum disorders (ASD). In order to define an individual's profile, we posit that the individual's reliance on proprioceptive and kinematic visual cues should affect the way the individual suffering from ASD interacts with a social agent (human/robot/virtual agent). In this paper, we assess the potential link between recognition performances of body/facial expressions of emotion of increasing complexity, emotion recognition on platforms with different visual features (two mini-humanoid robots, a virtual agent, and a This is one of several papers published in Autonomous Robots comprising the "Special Issue on Assistive and Rehabilitation human), and proprioceptive and visual cues integration of an individual. First, we describe the design of the EMBODI-EMO database containing videos of controlled body/facial expressions of emotions from various platforms. We explain how we validated this database with typically developed (TD) individuals. Then, we investigate the relationship between emotion recognition and proprioceptive and visual profiles of TD individuals and individuals with ASD. For TD individuals, our results indicate a relationship between profiles and emotion recognition. As expected, we show that TD individuals that rely more heavily on visual cues yield better recognition scores. However, we found that TD individuals relying on proprioception have better recognition scores, going against our hypothesis. Finally, participants with ASD relying more heavily on proprioceptive cues have lower emotion recognition scores on all conditions than participants relying on visual cues.

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Socially Assistive Robotics

Cited by 615 publications

References 28 publications

User—robot personality matching and assistive robot behavior adaptation for post-stroke rehabilitation therapy

User—robot personality matching and assistive robot behavior adaptation for post-stroke rehabilitation therapy

Human Behavior Understanding for Robotics

Impact of sensory preferences of individuals with autism on the recognition of emotions expressed by two robots, an avatar, and a human

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