Laura Boccanfuso

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Basic turn-taking and imitation skills are imperative for effective communication and social interaction (Nehaniv in Imitation and Social Learning in Robots, Springer, New York, 2007). Recently, research has demonstrated that interactive games using turn-taking and imitation have yielded positive results with autistic children who have impaired(More)
This paper presents a novel approach for remotely monitoring a user's breathing rate in real-time using a high precision, single-point infrared sensor. Remote breathing detection is especially useful for rehabilitative robotic applications such as post-stroke and post-operative cardiac therapies, where continuous monitoring of a patient's physical stress(More)
Robots are often employed to proactively engage children with Autism Spectrum Disorder (ASD) in well-defined physical or social activities to promote specific educational or therapeutic outcomes. However, much can also be learned by leveraging a robot’s unique ability to objectively deliver stimuli in a consistent, repeatable way and record child-robot(More)
In their expanding role as tutors, home and healthcare assistants, robots must effectively interact with individuals of varying ability and temperament. Indeed, deploying robots in long-term social engagements will almost certainly require robots to reliably detect and adapt to changes in the demeanor of social partners to promote trust and more productive(More)
This research employs an expressive robot to elicit affective response in young children and explore correlations between autonomously-detected play, affective response and developmental ability. In this study, we introduce a new, affective interface that combines sound, color, movement and context to simulate the expression of emotions. Our approach(More)
Remotely detecting the physiological state of humans is becoming increasingly important for rehabilitative robotics (RR) and socially assistive robotics (SAR) because it makes robots better-suited to work more closely and more cooperatively with humans. This research delivers a new non-contact technique for detecting heart rate in real time using a high(More)
Recent research has employed socially assistive robots as catalysts for social interaction and improved communication in young children with autism spectrum disorder (ASD). Studies describe observed therapeutic outcomes such as increased speech, social interaction, joint and directed attention, but few detail a robot-inclusive protocol which evaluates a set(More)
Atypical looking behaviors in neuropsychiatric conditions such as autism spectrum disorders (ASD) are not only a reflection of inherently abnormal neuropsychological processes, but also suggest that future access to observational learning opportunities may be limited. The work presented in this paper uses interactive eye tracking as a first step towards the(More)
Researchers use fixation identification algorithms to parse eye movement trajectories into a series of fixations and saccades, simplifying analyses and providing measures which may relate to cognition. The Distance Dispersion (I-DD) a widely-used elementary fixation identification algorithm. Yet the ”optimality” properties of its most popular greedy(More)