Dataset Information

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

ABSTRACT: 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.

SUBMITTER: Dias SB

PROVIDER: S-EPMC7843389 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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

Dias Sofia Balula SB Diniz José Alves JA Konstantinidis Evdokimos E Savvidis Theodore T Zilidou Vicky V Bamidis Panagiotis D PD Grammatikopoulou Athina A Dimitropoulos Kosmas K Grammalidis Nikos N Jaeger Hagen H Stadtschnitzer Michael M Silva Hugo H Telo Gonçalo G Ioakeimidis Ioannis I Ntakakis George G Karayiannis Fotis F Huchet Estelle E Hoermann Vera V Filis Konstantinos K Theodoropoulou Elina E Lyberopoulos George G Kyritsis Konstantinos K Papadopoulos Alexandros A Depoulos Anastasios A Trivedi Dhaval D Chaudhuri Ray K RK Klingelhoefer Lisa L Reichmann Heinz H Bostantzopoulou Sevasti S Katsarou Zoe Z Iakovakis Dimitrios D Hadjidimitriou Stelios S Charisis Vasileios V Apostolidis George G Hadjileontiadis Leontios J LJ

Frontiers in psychology 20210115

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 ...[more]

PMID: 33519632

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Project description:BackgroundThe digital shift in higher education is moving from teacher-focused models to active learning with digital technologies, including the integration of game-based learning strategies. We aim to identify, assess, and summarize the findings of evidence and determine the effectiveness of game-thinking on learning outcomes in nursing education.MethodsA comprehensive search for relevant literature was conducted between April and May 2022 Seven databases ERIC, Scopus, ProQuest Education Source, MEDLINE, CINAHL, Web of Science, and Embase were utilized to locate original, peer-reviewed papers published in English. The review was conducted and reported in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines.ResultsOverall, 3302 studies were initially screened based on their titles and abstract. From this selection 281 studies were then assessed for full-text eligibility. In the end, 70 studies, consisting of 27 Randomized Controlled Trials (RCTs) and 43 Quasi-experimental studies were included in the review. These studies encompassed data from a total of 8348 participants. The results from the narrative synthesis of the results revealed consistencies across the included studies and their findings. The meta-analysis suggested that game-thinking could be beneficial in nursing education, notably improving students' academic achievement (Pooled ES = 0.99, [95%CI 0.53, 1.44]). The most significant effect of game-thinking on academic achievement was observed in the academic knowledge performance of nursing students (Pooled ES = 1.06, [95%CI 0.55, 1.57]), followed by academic skill performance (Pooled ES = 0.54, [95%CI 0.06, 1.03]).ConclusionsThe systematic review and meta-analysis provide evidence supporting the effectiveness of game-thinking in nursing education. The findings highlight the potential of game-based learning in enhancing nursing education through knowledge acquisition, albeit with a nuanced effect on skill development. As nursing education continues to adapt to the digital era, integration of game-thinking strategies could serve as a valuable method for creating engaging and effective learning experiences for nursing students.

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Dataset Information

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

Publications

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

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