Dataset Information

User Experience of Interactive Technologies for People With Dementia: Comparative Observational Study.

ABSTRACT: BACKGROUND:Serious games (SGs) are used as complementary approaches to stimulate patients with dementia. However, many of the SGs use out-of-the-shelf technologies that may not always be suitable for such populations, as they can lead to negative behaviors, such as anxiety, fatigue, and even cybersickness. OBJECTIVE:This study aims to evaluate how patients with dementia interact and accept 5 out-of-the-shelf technologies while completing 10 virtual reality tasks. METHODS:A total of 12 participants diagnosed with dementia (mean age 75.08 [SD 8.07] years, mean Mini-Mental State Examination score 17.33 [SD 5.79], and mean schooling 5.55 [SD 3.30]) at a health care center in Portugal were invited to participate in this study. A within-subject experimental design was used to allow all participants to interact with all technologies, such as HTC VIVE, head-mounted display (HMD), tablet, mouse, augmented reality (AR), leap motion (LM), and a combination of HMD with LM. Participants' performance was quantified through behavioral and verbal responses, which were captured through video recordings and written notes. RESULTS:The findings of this study revealed that the user experience using technology was dependent on the patient profile; the patients had a better user experience when they use technologies with direct interaction configuration as opposed to indirect interaction configuration in terms of assistance required (P=.01) and comprehension (P=.01); the participants did not trigger any emotional responses when using any of the technologies; the participants' performance was task-dependent; the most cost-effective technology was the mouse, whereas the least cost-effective was AR; and all the technologies, except for one (HMD with LM), were not exposed to external hazards. CONCLUSIONS:Most participants were able to perform tasks using out-of-the-shelf technologies. However, there is no perfect technology, as they are not explicitly designed to address the needs and skills of people with dementia. Here, we propose a set of guidelines that aim to help health professionals and engineers maximize user experience when using such technologies for the population with dementia.

SUBMITTER: Andrade Ferreira LD

PROVIDER: S-EPMC7439148 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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User Experience of Interactive Technologies for People With Dementia: Comparative Observational Study.

Andrade Ferreira Luis Duarte LD Ferreira Henrique H Cavaco Sofia S Cameirão Mónica M I Badia Sergi Bermúdez SB

JMIR serious games 20200805 3

<h4>Background</h4>Serious games (SGs) are used as complementary approaches to stimulate patients with dementia. However, many of the SGs use out-of-the-shelf technologies that may not always be suitable for such populations, as they can lead to negative behaviors, such as anxiety, fatigue, and even cybersickness.<h4>Objective</h4>This study aims to evaluate how patients with dementia interact and accept 5 out-of-the-shelf technologies while completing 10 virtual reality tasks.<h4>Methods</h4>A ...[more]

PMID: 32755894

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Project description:BACKGROUND:Registration of brain activity has become increasingly popular and offers a way to identify the mental state of the user, prevent inappropriate workload, and control other devices by means of brain-computer interfaces. However, electroencephalography (EEG) is often related to user acceptance issues regarding the measuring technique. Meanwhile, emerging mobile EEG technology offers the possibility of gel-free signal acquisition and wireless signal transmission. Nonetheless, user experience research about the new devices is lacking. OBJECTIVE:This study aimed to evaluate user experience aspects of emerging mobile EEG devices and, in particular, to investigate wearing comfort and issues related to emotional design. METHODS:We considered 7 mobile EEG devices and compared them for their wearing comfort, type of electrodes, visual appearance, and subjects' preference for daily use. A total of 24 subjects participated in our study and tested every device independently of the others. The devices were selected in a randomized order and worn on consecutive day sessions of 60-min duration. At the end of each session, subjects rated the devices by means of questionnaires. RESULTS:Results indicated a highly significant change in maximal possible wearing duration among the EEG devices (χ26=40.2, n=24; P<.001). Regarding the visual perception of devices' headset design, results indicated a significant change in the subjects' ratings (χ26=78.7, n=24; P<.001). Results of the subjects' ratings regarding the practicability of the devices indicated highly significant differences among the EEG devices (χ26=83.2, n=24; P<.001). Ranking order and posthoc tests offered more insight and indicated that pin electrodes had the lowest wearing comfort, in particular, when coupled with a rigid, heavy headset. Finally, multiple linear regression for each device separately revealed that users were not willing to accept less comfort for a more attractive headset design. CONCLUSIONS:The study offers a differentiated look at emerging mobile and gel-free EEG technology and the relation between user experience aspects and device preference. Our research could be seen as a precondition for the development of usable applications with wearables and contributes to consumer health informatics and health-enabling technologies. Furthermore, our results provided guidance for the technological development direction of new EEG devices related to the aspects of emotional design.

Project description:BackgroundThe COVID-19 pandemic has led to worldwide implementation of unprecedented restrictions to control its rapid spread and mitigate its impact. The Spanish government has enforced social distancing, quarantine, and home confinement measures. Such restrictions on activities of daily life and separation from loved ones may lead to social isolation and loneliness with health-related consequences among community-dwelling older adults with mild cognitive impairment or mild dementia and their caregivers. Additionally, inadequate access to health care and social support services may aggravate chronic conditions. Home-based technological interventions have emerged for combating social isolation and loneliness, while simultaneously preventing the risk of virus exposure.ObjectiveThe aim of this cohort study is to explore, analyze, and determine the impact of social isolation on (1) cognition, quality of life, mood, technophilia, and perceived stress among community-dwelling older adults with mild cognitive impairment or mild dementia and on the caregiver burden; (2) access to and utilization of health and social care services; and (3) cognitive, social, and entertainment-related uses of information and communication technologies.MethodsThis study will be conducted in Málaga (Andalucía, Spain). In total 200 dyads, consisting of a person with mild cognitive impairment or mild dementia and his/her informal caregiver, will be contacted by telephone. Potential respondents will be participants of the following clinical trials: support, monitoring, and reminder technology for mild dementia (n=100) and television-based assistive integrated service to support European adults living with mild dementia or mild cognitive impairment (n=100).ResultsAs of May 2021, a total of 153 participants have been enrolled and assessed during COVID-19 confinement, of whom 67 have been assessed at 6 months of enrollment. Changes in the mean values of the variables will be analyzed relative to baseline findings of previous studies with those during and after confinement, using repeated-measures analysis of variance or the nonparametric Friedman test, as appropriate. The performance of multivariate analysis of covariance (ANCOVA) to introduce potential covariates will also be considered. Values of 95% CI will be used.ConclusionsIf our hypothesis is accepted, these findings will demonstrate the negative impact of social isolation owing to COVID-19 confinement on cognition, quality of life, mood, and perceived stress among community-dwelling older adults with mild cognitive impairment and mild dementia, the impact on technophilia, caregiver burden, the access to and utilization of health and social care services, and the cognitive, social, and entertainment-related use of information and communication technologies during and after COVID-19 confinement.Trial registrationClinicalTrials.gov NCT04385797; https://clinicaltrials.gov/ct2/show/NCT04385797.International registered report identifier (irrid)DERR1-10.2196/26431.

Project description:BackgroundAssistive technologies can help people living with dementia maintain their everyday activities. Nevertheless, there is a gap between the potential and use of these materials. Involving future users may help close this gap, but the impact on people with dementia is unclear.ObjectiveWe aimed to determine if user-centered development of smartwatch-based interventions together with people with dementia is feasible. In addition, we evaluated the extent to which user feedback is plausible and therefore helpful for technological improvements.MethodsWe examined the interactions between smartwatches and people with dementia or people with mild cognitive impairment. All participants were prompted to complete 2 tasks (drinking water and a specific cognitive task). Prompts were triggered using a smartphone as a remote control and were repeated up to 3 times if participants failed to complete a task. Overall, 50% (20/40) of the participants received regular prompts, and 50% (20/40) received intensive audiovisual prompts to perform everyday tasks. Participants' reactions were observed remotely via cameras. User feedback was captured via questionnaires, which included topics like usability, design, usefulness, and concerns. The internal consistency of the subscales was calculated. Plausibility was also checked using qualitative approaches.ResultsParticipants noted their preferences for particular functions and improvements. Patients struggled with rating using the Likert scale; therefore, we assisted them with completing the questionnaire. Usability (mean 78 out of 100, SD 15.22) and usefulness (mean 9 out of 12) were rated high. The smartwatch design was appealing to most participants (31/40, 76%). Only a few participants (6/40, 15%) were concerned about using the watch. Better usability was associated with better cognition. The observed success and self-rated task comprehension were in agreement for most participants (32/40, 80%). In different qualitative analyses, participants' responses were, in most cases, plausible. Only 8% (3/40) of the participants were completely unaware of their irregular task performance.ConclusionsPeople with dementia can have positive experiences with smartwatches. Most people with dementia provided valuable information. Developing assistive technologies together with people with dementia can help to prioritize the future development of functional and nonfunctional features.

Project description:BackgroundIn affective exergames, game difficulty is dynamically adjusted to match the user's physical and psychological state. Such an adjustment is commonly made based on a combination of performance measures (eg, in-game scores) and physiological measurements, which provide insight into the player's psychological state. However, although many prototypes of affective games have been presented and many studies have shown that physiological measurements allow more accurate classification of the player's psychological state than performance measures, few studies have examined whether dynamic difficulty adjustment (DDA) based on physiological measurements (which requires additional sensors) results in a better user experience than performance-based DDA or manual difficulty adjustment.ObjectiveThis study aims to compare five DDA methods in an affective exergame: manual (player-controlled), random, performance-based, personality-performance-based, and physiology-personality-performance-based (all-data).MethodsA total of 50 participants (N=50) were divided into five groups, corresponding to the five DDA methods. They played an exergame version of Pong for 18 minutes, starting at a medium difficulty; every 2 minutes, two game difficulty parameters (ball speed and paddle size) were adjusted using the participant's assigned DDA method. The DDA rules for the performance-based, personality-performance-based, and all-data groups were developed based on data from a previous open-loop study. Seven physiological responses were recorded throughout the sessions, and participants self-reported their preferred changes to difficulty every 2 minutes. After playing the game, participants reported their in-game experience using two questionnaires: the Intrinsic Motivation Inventory and the Flow Experience Measure.ResultsAlthough the all-data method resulted in the most accurate changes to ball speed and paddle size (defined as the percentage match between DDA choice and participants' preference), no significant differences between DDA methods were found on the Intrinsic Motivation Inventory and Flow Experience Measure. When the data from all four automated DDA methods were pooled together, the accuracy of changes in ball speed was significantly correlated with players' enjoyment (r=0.38) and pressure (r=0.43).ConclusionsAlthough our study is limited by the use of a between-subjects design and may not generalize to other exergame designs, the results do not currently support the inclusion of physiological measurements in affective exergames, as they did not result in an improved user experience. As the accuracy of difficulty changes is correlated with user experience, the results support the development of more effective DDA methods. However, they show that the inclusion of physiological measurements does not guarantee a better user experience even if it yields promising results in offline cross-validation.

Project description:BackgroundStudies have shown that potentially inappropriate prescribing (PIP) is highly prevalent among people with dementia (PwD) and linked to negative outcomes, such as hospitalisation and mortality. However, there are limited data on prescribing appropriateness for PwD in Saudi Arabia. Therefore, we aimed to estimate the prevalence of PIP and investigate associations between PIP and other patient characteristics among PwD in an ambulatory care setting.MethodsA cross-sectional, retrospective analysis was conducted at a tertiary hospital in Saudi Arabia. Patients who were ≥ 65 years old, had dementia, and visited ambulatory care clinics between 01/01/2019 and 31/12/2021 were included. Prescribing appropriateness was evaluated by applying the Screening Tool of Older Persons Potentially Inappropriate Prescriptions (STOPP) criteria. Descriptive analyses were used to describe the study population. Prevalence of PIP and the prevalence per each STOPP criterion were calculated as a percentage of all eligible patients. Logistic regression analysis was used to investigate associations between PIP, polypharmacy, age and sex; odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. Analyses were conducted using SPSS v27.ResultsA total of 287 PwD were identified; 56.0% (n = 161) were female. The mean number of medications prescribed was 9.0 [standard deviation (SD) ± 4.2]. The prevalence of PIP was 61.0% (n = 175). Common instances of PIP were drugs prescribed beyond the recommended duration (n = 90, 31.4%), drugs prescribed without an evidence-based clinical indication (n = 78, 27.2%), proton pump inhibitors (PPIs) for > 8 weeks (n = 75, 26.0%), and acetylcholinesterase inhibitors with concurrent drugs that reduce heart rate (n = 60, 21.0%). Polypharmacy was observed in 82.6% (n = 237) of patients and was strongly associated with PIP (adjusted OR 24.1, 95% CI 9.0-64.5).ConclusionsFindings have revealed a high prevalence of PIP among PwD in Saudi Arabia that is strongly associated with polypharmacy. Future research should aim to explore key stakeholders' experiences and perspectives of medicines management to optimise medication use for this vulnerable patient population.

Project description:BACKGROUND:Using technology in stroke rehabilitation is attractive. Devices such as robots or smartphones can help deliver evidence-based levels of practice intensity and automated feedback without additional labor costs. Currently, however, few technologies have been adopted into everyday rehabilitation. OBJECTIVE:This project aimed to identify stakeholder (therapists, patients, and caregivers) priorities for stroke rehabilitation technologies and to generate user-centered solutions for enhancing everyday adoption. METHODS:We invited stakeholders (n=60), comprising stroke survivors (20/60, 33%), therapists (20/60, 33%), caregivers, and technology developers (including researchers; 20/60, 33%), to attend 2 facilitated workshops. Workshop 1 was preceded by a national survey of stroke survivors and therapists (n=177) to generate an initial list of priorities. The subsequent workshop focused on identifying practical solutions to enhance adoption. RESULTS:A total of 25 priorities were generated from the survey; these were reduced to 10 nonranked priorities through discussion, consensus activities, and voting at Workshop 1: access to technologies, ease of use, awareness of available technologies, technologies focused on function, supports self-management, user training, evidence of effectiveness, value for money, knowledgeable staff, and performance feedback. The second workshop provided recommendations for improving the adoption of technologies in stroke rehabilitation: an annual exhibition of commercially available and developing technologies, an online consumer-rating website of available technologies, and a user network to inspire and test new technologies. CONCLUSIONS:The key outcomes from this series of stakeholder workshops provides a starting point for an integrated approach to promoting greater adoption of technologies in stroke rehabilitation. Bringing technology developers and users together to shape future and evaluate current technologies is critical to achieving evidence-based stroke rehabilitation.

Dataset Information

User Experience of Interactive Technologies for People With Dementia: Comparative Observational Study.

Publications

User Experience of Interactive Technologies for People With Dementia: Comparative Observational Study.

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