Speaking robots: The challenges of acceptance by the ageing society

Oliveira, Jorge; Martins, Gonçalo; Jegundo, Ana; Dantas, Carina; Wings, Cindy; Santos, Leonardo D.; Dias, Jorge; Perdigão, Fernando

doi:10.1109/roman.2017.8172470

Cited by 6 publications

(3 citation statements)

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“…Subtle cues that portray emotions can allow users to empathise, even in instances where the SAR is not a humanoid [32]. In order to be perceived as natural these expressions need to be manifested immediately during communication [24].…”

Section: Frameworkmentioning

confidence: 99%

“…Understanding Voice control integration has proven to reduce the learning curve for elderly users [24], however barriers to using this method of interaction still need to be considered. While speech recognition technology has seen significant advances, concerns remain surrounding how well they can understand user requests.…”

Section: Frameworkmentioning

confidence: 99%

“…Enunciation from speech-based robots needs to be clear, as the elderly are more likely to have hearing disabilities. Additional methods of communication, such as through a display, can lessen the severity of these issues [24].…”

Section: Frameworkmentioning

confidence: 99%

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A Theoretical Framework for the Development of “Needy” Socially Assistive Robots

Jones,

Loizides,

Jones

2023

Lecture Notes in Computer Science

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We suggest a theoretical framework for the design and development of a "needy" socially assistive robot (SAR) for the elderly. Our hypothesis is that a needy SAR will be more readily accepted by those that require them and would result in overall more positive care outcomes when compared to a non needy alternative. This is supported by existing works which indicate traits that can be considered needy are viewed favourably when correctly integrated. We provide guidance on the key design considerations that should be made in order to implement these traits successfully into a SAR. Using this newly created framework we will subsequently proceed to evaluate the effectiveness of integrating a SAR with these traits in a real-world scenario.

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Section: Frameworkmentioning

confidence: 99%

Section: Frameworkmentioning

confidence: 99%