Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference 2018
DOI: 10.1145/3197768.3203182
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Cited by 11 publications
(9 citation statements)
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“…In the pilot study by Sung et al (2015) about robot-assisted therapy using socially assistive pet robot (PARO), institutionalized older adults showed significantly increased communication and interaction skills and activity participation after receiving 4-week robot-assisted therapy. Another robotic application is to provide intervention to enhance people's impaired cognitive function, such as memory (Paletta et al, 2018), attention (Lins et al, 2019) and concentration (Tleubayev et al, 2019), or reduce their negative psychophysiological feelings, such as stress (Aminuddin et al, 2016) and anxiety (Ab Aziz et al, 2015). Additionally, a few studies adopted the robots to facilitate learning and educational activities for people with cognitive disabilities, such as children with dyslexia (Andruseac et al, 2015) or Traumatic Brain Injury (TBI) (Barco Martelo and Fosch Villaronga, 2017).…”
Section: Applicationsmentioning
confidence: 99%
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“…In the pilot study by Sung et al (2015) about robot-assisted therapy using socially assistive pet robot (PARO), institutionalized older adults showed significantly increased communication and interaction skills and activity participation after receiving 4-week robot-assisted therapy. Another robotic application is to provide intervention to enhance people's impaired cognitive function, such as memory (Paletta et al, 2018), attention (Lins et al, 2019) and concentration (Tleubayev et al, 2019), or reduce their negative psychophysiological feelings, such as stress (Aminuddin et al, 2016) and anxiety (Ab Aziz et al, 2015). Additionally, a few studies adopted the robots to facilitate learning and educational activities for people with cognitive disabilities, such as children with dyslexia (Andruseac et al, 2015) or Traumatic Brain Injury (TBI) (Barco Martelo and Fosch Villaronga, 2017).…”
Section: Applicationsmentioning
confidence: 99%
“…Other studies included cameras in the robotic mechanical system. For example, in the social robot Pepper, there were 2D and 3D cameras attached to the head (Paletta et al, 2018). With computational approaches, such as computer vision, the robots analyzed the video/images from the cameras and recognized users' critical states, such as their environment, facial expression, body movements, and even emotion and attention (Paletta et al, 2018;Peleka et al, 2018;Rudovic et al, 2018;Mois et al, 2020), which led to a better perception of users (Johal et al, 2015).…”
Section: Multimodal Sensingmentioning
confidence: 99%
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