Co-design the future CAPTAIN system with older adults

Petsani, Despoina; Mantziari, Despoina; Zilidou, Vasiliki I.; Konstantinidis, Evdokimos I.; Billis, Antonis; Timoleon, Michalis; Kiriakidis, Nikolaos; Nikolaidou, Maria; Bamidis, Panagiotis D.

doi:10.1145/3316782.3322765

Cited by 8 publications

(10 citation statements)

References 9 publications

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“…However, in the fall of 2017, the manufacture of the Kinect sensor was discontinued 1 . As an alternative solution to the Kinect device, since its creation in 2015, the use of the MentorAge R sensor tracking system has proven its capabilities and potentialities in real-life scenarios (e.g., Anzivino et al, 2019;Petsani et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Innovative Parkinson's Disease Patients' Motor Skills Assessment: The i-PROGNOSIS Paradigm

Dias

Grammatikopoulou

Diniz

et al. 2020

Front. Comput. Sci.

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Section: Introductionmentioning

confidence: 99%

Innovative Parkinson's Disease Patients' Motor Skills Assessment: The i-PROGNOSIS Paradigm

Dias

Grammatikopoulou

Diniz

et al. 2020

Front. Comput. Sci.

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“…For instance, the Microsoft Kinect ® sensor have been used for neurological rehabilitation ( Knippenberg et al, 2017 ) and for analyzing PD posture and lower limb tasks ( Ferraris et al, 2019 ). In the same line, the use of the MentorAge ® sensor tracking system has proven its capabilities in real life environments (e.g., Anzivino et al, 2018 ; Petsani et al, 2019 ; Dias et al, 2020 ). In this vein, gait features can be extracted by relevant ExerGames that request from the user to move a couple of steps (within the depth camera range) toward different directions.…”

Section: Resultsmentioning

confidence: 99%

Assistive HCI-Serious Games Co-design Insights: The Case Study of i-PROGNOSIS Personalized Game Suite for Parkinson’s Disease

et al. 2021

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Human-Computer Interaction (HCI) and games set a new domain in understanding people’s motivations in gaming, behavioral implications of game play, game adaptation to player preferences and needs for increased engaging experiences in the context of HCI serious games (HCI-SGs). When the latter relate with people’s health status, they can become a part of their daily life as assistive health status monitoring/enhancement systems. Co-designing HCI-SGs can be seen as a combination of art and science that involves a meticulous collaborative process. The design elements in assistive HCI-SGs for Parkinson’s Disease (PD) patients, in particular, are explored in the present work. Within this context, the Game-Based Learning (GBL) design framework is adopted here and its main game-design parameters are explored for the Exergames, Dietarygames, Emotional games, Handwriting games, and Voice games design, drawn from the PD-related i-PROGNOSIS Personalized Game Suite (PGS) (www.i-prognosis.eu) holistic approach. Two main data sources were involved in the study. In particular, the first one includes qualitative data from semi-structured interviews, involving 10 PD patients and four clinicians in the co-creation process of the game design, whereas the second one relates with data from an online questionnaire addressed by 104 participants spanning the whole related spectrum, i.e., PD patients, physicians, software/game developers. Linear regression analysis was employed to identify an adapted GBL framework with the most significant game-design parameters, which efficiently predict the transferability of the PGS beneficial effect to real-life, addressing functional PD symptoms. The findings of this work can assist HCI-SG designers for designing PD-related HCI-SGs, as the most significant game-design factors were identified, in terms of adding value to the role of HCI-SGs in increasing PD patients’ quality of life, optimizing the interaction with personalized HCI-SGs and, hence, fostering a collaborative human-computer symbiosis.

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“…WellCo 3 provides an affective-aware coach that interacts through speech with the user in order to act as a virtually interface among the user and the platform managing the flow of all interactions and empower users in their behavior change process through simulation activities tailored to their current mood (62). CAPTAIN 4 proposes a transparent technology designed to turn the home of the older adult into a ubiquitous assistant, based on a projected augmented reality through use of micro-projectors, contextualized information and instructions on top of the real environment (63). vCare 4 embeds clinical profiles and the pathways to drive the behavior of the virtual coach at home and provide wellelaborated services for tele-rehabilitation in neurology and cardiology (64).…”

Section: Discussionmentioning

confidence: 99%

“…CAPTAIN 4 proposes a transparent technology designed to turn the home of the older adult into a ubiquitous assistant, based on a projected augmented reality through use of micro-projectors, contextualized information and instructions on top of the real environment ( 63 ).…”

Section: Discussionmentioning

confidence: 99%

A Review of Virtual Coaching Systems in Healthcare: Closing the Loop With Real-Time Feedback

Tsiouris

Tsakanikas

Gatsios

et al. 2020

Front. Digit. Health

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This review focuses on virtual coaching systems that were designed to enhance healthcare interventions, combining the available sensing and system-user interaction technologies. In total, more than 1,200 research papers have been retrieved and evaluated for the purposes of this review, which were obtained from three online databases (i.e.,PubMed, Scopus and IEEE Xplore) using an extensive set of search keywords. After applying exclusion criteria, the remaining 41 research papers were used to evaluate the status of virtual coaching systems over the past 10 years and assess current and future trends in this field. The results suggest that in home coaching systems were mainly focused in promoting physical activity and a healthier lifestyle, while a wider range of medical domains was considered in systems that were evaluated in lab environment. In home patient monitoring with IoT devices and sensors was mostly limited to activity trackers, pedometers and heart rate monitoring. Real-time evaluations and personalized patient feedback was also found to be rather lacking in home coaching systems and this is the most alarming find of this analysis. Feasibility studies in controlled environment and an ongoing active research on Horizon 2020 funded projects, show that the future trends in this field are aiming to close the loop with automated patient monitoring, real-time evaluations and more precise interventions.

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Co-design the future CAPTAIN system with older adults

Cited by 8 publications

References 9 publications

Innovative Parkinson's Disease Patients' Motor Skills Assessment: The i-PROGNOSIS Paradigm

Innovative Parkinson's Disease Patients' Motor Skills Assessment: The i-PROGNOSIS Paradigm

Assistive HCI-Serious Games Co-design Insights: The Case Study of i-PROGNOSIS Personalized Game Suite for Parkinson’s Disease

A Review of Virtual Coaching Systems in Healthcare: Closing the Loop With Real-Time Feedback

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