The main objective of the study is to investigate the effects of using a set of Virtual Reality (VR)-based Digital Therapeutics (DTx) apps to improve the cognitive abilities of healthy (high-functioning) seniors. For the purposes of the study, high-functioning seniors are defined as being over the age of 65 years, while maintaining their functional independence with regards to activities of daily living, including the ability to go on a long walk and the ability to interact with common modern technology (e.g. using a smartphone to send a message). The study focuses on improving the quality of life of older healthy people by facilitating cognitive training through VR. Healthy people aged 65-85 will be eligible for the project. If the participants meet the inclusion criteria, they will be invited to participate in the study and be provided with detailed information about the research project. Based on sample size calculations, up to two hundred (200) older adults are intended to be included in the project. The participants will use specially designed VR systems and activities aimed at improving their cognitive abilities.

The participants that meet inclusion criteria will be randomly assigned to the experimental group or the control group. The participants in the experimental group will receive a cognitive intervention focused on attention and working memory through virtual reality handsets. The intervention will be delivered at home and monitored by the research team via wifi. The participants will be required to perform the cognitive training at least 3 times a week for 12 weeks (36 training sessions). The participants in the control group will see high definition images through VR handsets without cognitive training. The CNS-Vital Signs, a computerized neuropsychological battery, will be used to assess primary outcomes (Working Memory and Complex Attention), and will be administered to the participants before the intervention and after 36 training sessions. Differences in performance on primary and secondary outcomes will be analyzed with a Linear Mixed Model Analysis of Variance for longitudinal outcomes. Measures of anxiety and well-being will also be registered.