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The impact of serious games with humanoid robots on mild cognitive impairment older adults

Articolo
Data di Pubblicazione:
2021
Abstract:
The number of Mild Cognitive Impairment (MCI) older adults is increasing; thus, it becomes more and more important to provide them with support to avoid, or at least slow down, their cognitive decline. To this end, interactive serious games can play an important role. So far, most of them have been deployed through tablets, which represent a cost-effective solution, yet offering only limited possibilities for truly engaging such users in a multimodal manner. However, emerging humanoid robots, through their physical embodiment and human-like attributes, including facial expressions and body language, may open up new possibilities in more effectively engaging MCI older adults during repetitive cognitive training. We present a study aiming to better understand the impact of humanoid robots in supporting serious games for such users. In particular, we investigate how seniors with Mild Cognitive Impairments relate to and perceive serious games accessed through humanoid robots, as part of a training programme aimed to improve their cognitive status. For this purpose, two versions of a music-based memory game have been designed by a multi-disciplinary team, one for humanoid robots and one for tablets. We report on its use during a between-subject study that involved MCI seniors, and discuss their experience. The results show that the robot was received with more enthusiasm by the older adults, thus improving their level of engagement.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Humanoid robots; Interactive technologies; Mild cognitive impairment; Serious games
Elenco autori:
Franco, Roberta; Braschi, Chiara; Zedda, Eleonora; Santoro, Carmelina; Sale, Alessandro; Manca, Marco; Paterno', Fabio
Autori di Ateneo:
MANCA MARCO
PATERNO' FABIO
SALE ALESSANDRO
SANTORO CARMELINA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/409376
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/409376/100175/prod_428210-doc_187033.pdf
https://iris.cnr.it//retrieve/handle/20.500.14243/409376/100179/prod_428210-doc_187034.pdf
Pubblicato in:
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
Journal
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URL

https://www.sciencedirect.com/science/article/pii/S1071581920301117
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