Adoption of Wearable Devices by Persons with Dementia: Lessons from a Non-pharmacological Intervention Enabled by a Social Robot

Cruz-Sandoval, Dagoberto; Favela, Jesús; López-Nava, Irvin Hussein; Morales, Arturo

doi:10.1007/978-981-15-9897-5_8

Cited by 4 publications

(4 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of ATS in health has been covered extensively with general approaches [13][14][15] and with approaches focusing on specific health problems such as visual impairment [16], disabilities [17,18], and dementia [3,[19][20][21][22][23]. This section provides an insight into recent relevant work in ATS for PwD, which has helped to identify similar approaches to the one presented in this paper, to which to compare to and learn lessons from.…”

Section: A Background On Assistive Technology Solutions (Ats) For Pwdmentioning

confidence: 99%

“…Chaurasia et al [21] reported that better results were obtained using a combination of psychosocial and medical data from the participants, and noted that it is preferable that medical data are provided from reliable medical sources rather than self-reported by the participants. Another interesting approach considering a different ATS was presented by Cruz-Sandoval et al [23], who investigated the adoption process of wearable fitness trackers by PwD in a Cognitive Simulation Therapy (CST) enabled by a conversational social robot. In particular, Cruz-Sandoval et al [23] framed the issues regarding the wearable fitness trackers adoption using an extension of the Unified Theory of Acceptance and Use of Technology (UTAUT) and based their recommendations on the Dementia Design Considerations for Smart Home Technologies targeting four domains (cognitive decline, physical decline, social, and development).…”

Section: A Background On Assistive Technology Solutions (Ats) For Pwdmentioning

confidence: 99%

“…Another interesting approach considering a different ATS was presented by Cruz-Sandoval et al [23], who investigated the adoption process of wearable fitness trackers by PwD in a Cognitive Simulation Therapy (CST) enabled by a conversational social robot. In particular, Cruz-Sandoval et al [23] framed the issues regarding the wearable fitness trackers adoption using an extension of the Unified Theory of Acceptance and Use of Technology (UTAUT) and based their recommendations on the Dementia Design Considerations for Smart Home Technologies targeting four domains (cognitive decline, physical decline, social, and development). Cruz-Sandoval et al [23] reported that the results obtained provide evidence of the feasibility of the sustained use of activity trackers by PwD during prolonged periods.…”

Section: A Background On Assistive Technology Solutions (Ats) For Pwdmentioning

confidence: 99%

“…In particular, Cruz-Sandoval et al [23] framed the issues regarding the wearable fitness trackers adoption using an extension of the Unified Theory of Acceptance and Use of Technology (UTAUT) and based their recommendations on the Dementia Design Considerations for Smart Home Technologies targeting four domains (cognitive decline, physical decline, social, and development). Cruz-Sandoval et al [23] reported that the results obtained provide evidence of the feasibility of the sustained use of activity trackers by PwD during prolonged periods. In light of the literature, it is evident that technology adoption in PwD depends on different features or predictors, and not only the simple preference or opinion of the primary carers.…”

Section: A Background On Assistive Technology Solutions (Ats) For Pwdmentioning

confidence: 99%

See 3 more Smart Citations

A Novel Integration of IF-DEMATEL and TOPSIS for the Classifier Selection Problem in Assistive Technology Adoption for People with Dementia

Ortíz‐Barrios

García-Constantino

Nugent

et al. 2022

IJERPH

View full text Add to dashboard Cite

The classifier selection problem in Assistive Technology Adoption refers to selecting the classification algorithms that have the best performance in predicting the adoption of technology, and is often addressed through measuring different single performance indicators. Satisfactory classifier selection can help in reducing time and costs involved in the technology adoption process. As there are multiple criteria from different domains and several candidate classification algorithms, the classifier selection process is now a problem that can be addressed using Multiple-Criteria Decision-Making (MCDM) methods. This paper proposes a novel approach to address the classifier selection problem by integrating Intuitionistic Fuzzy Sets (IFS), Decision Making Trial and Evaluation Laboratory (DEMATEL), and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The step-by-step procedure behind this application is as follows. First, IF-DEMATEL was used for estimating the criteria and sub-criteria weights considering uncertainty. This method was also employed to evaluate the interrelations among classifier selection criteria. Finally, a modified TOPSIS was applied to generate an overall suitability index per classifier so that the most effective ones can be selected. The proposed approach was validated using a real-world case study concerning the adoption of a mobile-based reminding solution by People with Dementia (PwD). The outputs allow public health managers to accurately identify whether PwD can adopt an assistive technology which results in (i) reduced cost overruns due to wrong classification, (ii) improved quality of life of adopters, and (iii) rapid deployment of intervention alternatives for non-adopters.

show abstract

Section: A Background On Assistive Technology Solutions (Ats) For Pwdmentioning

confidence: 99%

Section: A Background On Assistive Technology Solutions (Ats) For Pwdmentioning

confidence: 99%

Section: A Background On Assistive Technology Solutions (Ats) For Pwdmentioning

confidence: 99%

Section: A Background On Assistive Technology Solutions (Ats) For Pwdmentioning

confidence: 99%

See 2 more Smart Citations

A Novel Integration of IF-DEMATEL and TOPSIS for the Classifier Selection Problem in Assistive Technology Adoption for People with Dementia

Ortíz‐Barrios

García-Constantino

Nugent

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

Enhancing Enrollment and Adherence in Long-term Wearables Dementia Research: A Qualitative Synthesis from a Systematic Review (Preprint)

Peterson,

St. Louis,

Flannagan

2024

Preprint

View full text Add to dashboard Cite

BACKGROUND With the rapid expansion of wearable technologies, there is increased interest in their utility for passive data collection applications in aging research. Wearables can be specifically beneficial to research featuring people with dementia and their families who have burdens that can make both study participation and reliable data collection more difficult, especially as dementia progresses. However, population-specific issues affecting the success of wearables for data collection can include remembering to wear a device, fluctuating acceptance of the device or study participation, and reliance on strained caregivers. Better understanding of how research with wearables can address these and other issues is necessary to enhance participant buy-in and sustained wearing for better quality dementia research. OBJECTIVE We undertook a systematic evaluation of contemporary wearables research to describe this population's wearables experiences, desired qualities, and protocol needs. METHODS We used the PRISMA 2020 guide to systematic reviews and searched three scholarly databases using medical subject heading (MeSH) terms for papers published since 2018 featuring the use or discussion of wearable devices for persons with dementia. We screened 1757 abstracts and retained 58 for full-text review. RESULTS We present synthesized preferences, barriers, and facilitators to wearables buy-in and adherence in dementia research. A total of 29 factors were categorized into four overarching categories aligned with study development: device selection, protocol considerations, enhancing recruitment, and promoting adherence. CONCLUSIONS These findings inform researcher guidelines for wearable device selection and protocol design to enhance the utility of wearables in future longitudinal research featuring persons with dementia and their caregivers.

show abstract

The Development and Concurrent Validity of a Multi-Sensor-Based Frailty Toolkit for In-Home Frailty Assessment

Bian

Yan

Mihailidis

2022

Sensors

View full text Add to dashboard Cite

Early identification of frailty is crucial to prevent or reverse its progression but faces challenges due to frailty’s insidious onset. Monitoring behavioral changes in real life may offer opportunities for the early identification of frailty before clinical visits. This study presented a sensor-based system that used heterogeneous sensors and cloud technologies to monitor behavioral and physical signs of frailty from home settings. We aimed to validate the concurrent validity of the sensor measurements. The sensor system consisted of multiple types of ambient sensors, a smart speaker, and a smart weight scale. The selection of these sensors was based on behavioral and physical signs associated with frailty. Older adults’ perspectives were also included in the system design. The sensor system prototype was tested in a simulated home lab environment with nine young, healthy participants. Cohen’s Kappa and Bland–Altman Plot were used to evaluate the agreements between the sensor and ground truth measurements. Excellent concurrent validity was achieved for all sensors except for the smart weight scale. The bivariate correlation between the smart and traditional weight scales showed a strong, positive correlation between the two measurements (r = 0.942, n = 24, p < 0.001). Overall, this work showed that the Frailty Toolkit (FT) is reliable for monitoring physical and behavioral signs of frailty in home settings.

show abstract

Adoption of Wearable Devices by Persons with Dementia: Lessons from a Non-pharmacological Intervention Enabled by a Social Robot

Cited by 4 publications

References 29 publications

A Novel Integration of IF-DEMATEL and TOPSIS for the Classifier Selection Problem in Assistive Technology Adoption for People with Dementia

A Novel Integration of IF-DEMATEL and TOPSIS for the Classifier Selection Problem in Assistive Technology Adoption for People with Dementia

Enhancing Enrollment and Adherence in Long-term Wearables Dementia Research: A Qualitative Synthesis from a Systematic Review (Preprint)

The Development and Concurrent Validity of a Multi-Sensor-Based Frailty Toolkit for In-Home Frailty Assessment

Contact Info

Product

Resources

About