TY - CHAP
T1 - Piloting Intelligent Methodologies for Assisted Living Technology Through a Mixed Research Approach
T2 - The VINCI Project in Cyprus
AU - Constantinou, Costas S.
AU - Mavromoustakis, Constandinos
AU - Philippou, Anna
AU - Mastorakis, George
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - This chapter presents the procedure and results of piloting vINCI, a new ambient assisted technology. vINCI aims to enhance older adults’ active life and quality of living by measuring end-users’ physical, psychological and social state and providing them with information and feedback about any necessary corrective measures they need to take. To achieve this, vINCI has been based on a microservices architecture and integrated IoT (Internet of Things) monitoring technologies and artificial intelligence. The interconnected devices which are capturing end-users’ biopsychosocial state are tablets (the vINCI app), smart insoles and smart watches. In order to ensure that end-users would accept and use such set of technologies, this study employed a mixed research methodology to understand any acceptability factors. The results indicated that clarity of instructions, comfort of technology, ease to use, usefulness, and a sense of safety, control, familiarity and normalisation were very important features of vINCI, which could cause participants to accept and use such technology. The study highlights the importance of a mixed research method for gauging acceptability in order to ensure that the end-users’ experience with new technology during pilots is fully captured and understood.
AB - This chapter presents the procedure and results of piloting vINCI, a new ambient assisted technology. vINCI aims to enhance older adults’ active life and quality of living by measuring end-users’ physical, psychological and social state and providing them with information and feedback about any necessary corrective measures they need to take. To achieve this, vINCI has been based on a microservices architecture and integrated IoT (Internet of Things) monitoring technologies and artificial intelligence. The interconnected devices which are capturing end-users’ biopsychosocial state are tablets (the vINCI app), smart insoles and smart watches. In order to ensure that end-users would accept and use such set of technologies, this study employed a mixed research methodology to understand any acceptability factors. The results indicated that clarity of instructions, comfort of technology, ease to use, usefulness, and a sense of safety, control, familiarity and normalisation were very important features of vINCI, which could cause participants to accept and use such technology. The study highlights the importance of a mixed research method for gauging acceptability in order to ensure that the end-users’ experience with new technology during pilots is fully captured and understood.
KW - AAL approaches
KW - Artificial intelligence
KW - Assistive technology
KW - Mixed methodology
KW - The vINCI project
UR - http://www.scopus.com/inward/record.url?scp=85107739734&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-76493-7_17
DO - 10.1007/978-3-030-76493-7_17
M3 - Chapter
AN - SCOPUS:85107739734
T3 - Internet of Things
SP - 501
EP - 511
BT - Internet of Things
PB - Springer Science and Business Media Deutschland GmbH
ER -