Touchscreen games to detect cognitive impairment in senior adults. A user-interaction pilot study

Valladares-Rodríguez, Sonia; Fernández‐Iglesias, Manuel J.; Anido‐Rifón, Luis E.; Facal, David; Costa, Carlos Rivas; Pérez‐Rodríguez, Roberto

doi:10.1016/j.ijmedinf.2019.04.012

Cited by 31 publications

(21 citation statements)

References 46 publications

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“…), ranging from one to 36 sessions spread over the course of 1 single day to 4 years; indeed, usability along with effectiveness of training was tested for three , four Rebsamen et al, 2019;van Beek et al, 2019), six , eight , and 12 weeks Desteghe et al, 2017), and three and 4 years . Exergames (i.e., serious games used for balance and fall risk training) were used in most of the motor training Schwenk et al, 2014;Wüest et al, 2014;Kiselev et al, 2015;Sáenz-de-Urturi et al, 2015;Shubert et al, 2015;Brox et al, 2017;Trombetta et al, 2017;Money et al, 2019;Rebsamen et al, 2019;van Beek et al, 2019), physiotherapy exercise in others Im et al, 2015), cognitive-physical dual-task in Pedroli et al (2018), neuropsychological testing in three studies Corno et al, 2014;Plechatá et al, 2019;Valladares-Rodriguez et al, 2019), gesture therapy in Morán et al (2015) and Vanbellingen et al (2017), and psychosocial support/educational in four studies Castilla et al, 2013;Cook and Winkler, 2016;Desteghe et al, 2017).…”

Section: Resultsmentioning

confidence: 99%

“…Moreover, in the context of healthcare, the end-users are also the medical professionals that use the technology with the patients. Usability should be assessed via questionnaires or interviews in the design and test phases (e.g., Castilla et al, 2013;Valladares-Rodriguez et al, 2019). Finally, despite some studies reporting the number of participants as a limitation Desteghe et al, 2017;Vanbellingen et al, 2017;van Beek et al, 2019), a number of 5-10 individuals is sensible enough to identify a minimum of 80% circa of usability issues Brox et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…Concerning the assessment of usability of VR systems, a wide range of quantitative and qualitative methods have been used (see Table 1 for specific information and Figures 5-7 for models and methods overviews). Concerning quantitative data, system usability scale (SUS) Sáenz-de-Urturi et al, 2015;Shubert et al, 2015;Vanbellingen et al, 2017;Nikitina et al, 2018;Pedroli et al, 2018;Money et al, 2019;Rebsamen et al, 2019;van Beek et al, 2019), TAM-based questionnaires Wüest et al, 2014;Morán et al, 2015;Cook and Winkler, 2016;Rebsamen et al, 2019;Valladares-Rodriguez et al, 2019), UX questionnaires Sáenzde-Urturi et al, 2015;Brox et al, 2017;Desteghe et al, 2017;Rebsamen et al, 2019), UCD-based questionnaire , flow of experience scale , other usability questionnaires Epelde et al, 2014;Trombetta et al, 2017;Plechatá et al, 2019;Valladares-Rodriguez et al, 2019), adherence or motivation to training questionnaires Desteghe et al, 2017;Vanbellingen et al, 2017;Nikitina et al, 2018;Rebsamen et al, 2019;van Beek et al, 2019) or with VR data Kiselev et al, 2015;Desteghe et al, 2017;Vanbellingen et al, 2017;Nikitina et al, 2018;Rebsamen et al, 2019;van Beek et al, 2019), cybersickness assessment Im et al, 2015;…”

Section: Which Are the Theories And Tools Used To Assess Vr?mentioning

confidence: 99%

“…Schwenk et al (2014) assessed the gaming UX of a exergame with sensors, which was found to be effective, fun, easy to learn thanks to feedback, adequate, and well-designed. Interestingly, Valladares-Rodriguez et al (2019) aimed at assessing UX and player eXperience (PX) of Panoramix neuropsychological touchscreen battery in OA, mild cognitive impairment (MCI), and Alzheimer's disease individuals. They found that Panoramix perception and acceptance were positive after the pilot study in the groups but was judged as more playable by OA, MCI, and AD in this order; nevertheless, PX improved after the second interaction in all groups.…”

Section: Are Vr Clinical Systems For the Older People Usable?mentioning

confidence: 99%

“…UCD can be investigated using a variety of qualitative and quantitative methods such as field studies, user requirements analyses, iterative design, usability evaluation, task analyses, focus groups, user interviews, participatory design, and prototypes (Vredenburg et al, 2002). UX can be explored with the playability model (i.e., immersion, socialization, emotion, satisfaction, effectiveness) that is crucial when building games for clinical purposes (Sánchez et al, 2012;Valladares-Rodriguez et al, 2019); emotive design for VR should be followed for designing human-computer interaction systems (see Vredenburg et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Usability Issues of Clinical and Research Applications of Virtual Reality in Older People: A Systematic Review

Tuena

Pedroli

Trimarchi

et al. 2020

Front. Hum. Neurosci.

122

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Aging is a condition that may be characterized by a decline in physical, sensory, and mental capacities, while increased morbidity and multimorbidity may be associated with disability. A wide range of clinical conditions (e.g., frailty, mild cognitive impairment, metabolic syndrome) and age-related diseases (e.g., Alzheimer's and Parkinson's disease, cancer, sarcopenia, cardiovascular and respiratory diseases) affect older people. Virtual reality (VR) is a novel and promising tool for assessment and rehabilitation in older people. Usability is a crucial factor that must be considered when designing virtual systems for medicine. We conducted a systematic review with Preferred Reporting Items for Systematic reviews and Meta-analysis (PRISMA) guidelines concerning the usability of VR clinical systems in aging and provided suggestions to structure usability piloting. Findings show that different populations of older people have been recruited to mainly assess usability of non-immersive VR, with particular attention paid to motor/physical rehabilitation. Mixed approach (qualitative and quantitative tools together) is the preferred methodology; technology acceptance models are the most applied theoretical frameworks, however senior adapted models are the best within this context. Despite minor interaction issues and bugs, virtual systems are rated as usable and feasible. We encourage usability and user experience pilot studies to ameliorate interaction and improve acceptance and use of VR clinical applications in older people with the aid of suggestions (VR-USOP) provided by our analysis.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Which Are the Theories And Tools Used To Assess Vr?mentioning

confidence: 99%

Section: Are Vr Clinical Systems For the Older People Usable?mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Usability Issues of Clinical and Research Applications of Virtual Reality in Older People: A Systematic Review

Tuena

Pedroli

Trimarchi

et al. 2020

Front. Hum. Neurosci.

122

View full text Add to dashboard Cite

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Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia

Ford

Milne

Curlewis

2023

WIREs Data Min & Knowl

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Dementia poses a growing challenge for health services but remains stigmatized and under‐recognized. Digital technologies to aid the earlier detection of dementia are approaching market. These include traditional cognitive screening tools presented on mobile devices, smartphone native applications, passive data collection from wearable, in‐home and in‐car sensors, as well as machine learning techniques applied to clinic and imaging data. It has been suggested that earlier detection and diagnosis may help patients plan for their future, achieve a better quality of life, and access clinical trials and possible future disease modifying treatments. In this review, we explore whether digital tools for the early detection of dementia can or should be deployed, by assessing them against the principles of ethical screening programs. We conclude that while the importance of dementia as a health problem is unquestionable, significant challenges remain. There is no available treatment which improves the prognosis of diagnosed disease. Progression from early‐stage disease to dementia is neither given nor currently predictable. Available technologies are generally not both minimally invasive and highly accurate. Digital deployment risks exacerbating health inequalities due to biased training data and inequity in digital access. Finally, the acceptability of early dementia detection is not established, and resources would be needed to ensure follow‐up and support for those flagged by any new system. We conclude that early dementia detection deployed at scale via digital technologies does not meet standards for a screening program and we offer recommendations for moving toward an ethical mode of implementation. This article is categorized under: Application Areas > Health Care Commercial, Legal, and Ethical Issues > Ethical Considerations Technologies > Artificial Intelligence

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Will senior adults accept being cognitively assessed by a conversational agent? a user-interaction pilot study

Pacheco-Lorenzo,

Anido-Rifón,

Fernández-Iglesias

et al. 2024

Appl Intell

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Background: early detection of dementia and Mild Cognitive Impairment (MCI) have an utmost significance nowadays, and smart conversational agents are becoming more and more capable. DigiMoCA, an Alexa-based voice application for the screening of MCI, was developed and tested. Objective: to evaluate the acceptability and usability of DigiMoCA, considering the perception of end-users and cognitive assessment administrators, through standard evaluation questionnaires. Method: a sample of 46 individuals and 24 evaluators participated in this study. End-users were fairly heterogeneous considering demographic and neuro-psychological characteristics. Evaluators were mostly health and social care professionals, relatively well-balanced in terms of gender, career background and years of experience. Results: end-users acceptability ratings were generally positive (rating above 3 in a 5-point scale for all dimensions) and it improved significantly after the interaction with DigiMoCA. Administrators also rated the usability of DigiMoCA, with an average score of 5.86/7 and with high internal consistency ($$\alpha $$ α = 0.95). Conclusion: although there is still room for improvement in terms of user satisfaction and voice interface, DigiMoCA is perceived as an acceptable, accessible and usable cognitive screening tool, both by individuals being tested and test administrators. Graphical abstract

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Touchscreen games to detect cognitive impairment in senior adults. A user-interaction pilot study

Cited by 31 publications

References 46 publications

Usability Issues of Clinical and Research Applications of Virtual Reality in Older People: A Systematic Review

Usability Issues of Clinical and Research Applications of Virtual Reality in Older People: A Systematic Review

Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia

Will senior adults accept being cognitively assessed by a conversational agent? a user-interaction pilot study

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