Data analysis from cognitive games interaction in Smart TV applications for patients with Parkinson's, Alzheimer's, and other types of dementia. Issue 4 (November 2019)

• Record Type: Journal Article
• Authors: López, Juan Pedro; Moreno, Francisco; Popa, Mirela; Hernández-Peñaloza, Gustavo; Álvarez, Federico
• Editors: Biswas, Pradipta; Orero, Pilar; Sezgin, Metin
• Is Part Of: AI EDAM. Volume 33:Issue 4(2019)
• Page Start: 442
• Page End: 457
• Publication Date: 2019-11
• Subjects: Alzheimer's, -- cognitive games, -- data analysis, -- HCI, -- Parkinson's, -- Smart TV; Engineering design -- Data processing -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; 620.00420285
• DOI: 10.1017/S0890060419000386
• Languages: English
• ISSNs: 0890-0604

Abstract

Abstract: Parkinson's disease and Alzheimer's disease are progressive nervous system disorders that affect physical and cognitive capacities of individuals, including memory loss, motion impairment, or problem-solving dysfunctions. Leisure activities are associated with reducing the risk of dementia and are preventive policies for delaying the cognitive impairment in later stages of those neurodegenerative diseases. Electronic games related to cognitive abilities are an easy and inexpensive alternative for stimulating brain activity in this kind of patients. The previous research demonstrated the acceptance of these activities in the environment of Connected TV when playing at home and in daily care centers. Interaction in Connected TV applications has its own particularities that influence the design of the interface, including the viewing distance, the type of interaction through a remote control or other techniques, the size of the screen, or the collectiveness of consumption. Iterative testing with patients of these groups revealed how the physical characteristics and cognitive impairment of these concrete end-users affect the human–computer interaction, offering guidelines and recommendations in good practices for the Smart TV interface design. On the other hand, data analytics extracted from the interaction and evolution of the game offer important information enabling the creation of estimation prediction models about the cognitive state of the patient.