Mobile Phone Use by People with Mild to Moderate Dementia: Uncovering Challenges and Identifying Opportunities

Dixon, Emma; Michaels, Rain; Xiao, Xiang; Zhong, Yu; Clary, Patrick; Narayanan, Ajit; Brewer, Robin; Lazar, Amanda

doi:10.1145/3517428.3544809

Cited by 14 publications

(7 citation statements)

References 97 publications

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“…The prime outlet for digital apps is mobile phones. Dixon et al ( 2022 ) used semi-structured interviews to investigate mobile phone usage in PwD. Widespread usage of mobile phones by PwD was reported for tasks such as social media, reminders, and navigation.…”

Section: Methodsmentioning

confidence: 99%

Introduction to Large Language Models (LLMs) for dementia care and research

Treder,

Lee,

Tsvetanov

2024

Front. Dement.

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IntroductionDementia is a progressive neurodegenerative disorder that affects cognitive abilities including memory, reasoning, and communication skills, leading to gradual decline in daily activities and social engagement. In light of the recent advent of Large Language Models (LLMs) such as ChatGPT, this paper aims to thoroughly analyse their potential applications and usefulness in dementia care and research.MethodTo this end, we offer an introduction into LLMs, outlining the key features, capabilities, limitations, potential risks, and practical considerations for deployment as easy-to-use software (e.g., smartphone apps). We then explore various domains related to dementia, identifying opportunities for LLMs to enhance understanding, diagnostics, and treatment, with a broader emphasis on improving patient care. For each domain, the specific contributions of LLMs are examined, such as their ability to engage users in meaningful conversations, deliver personalized support, and offer cognitive enrichment. Potential benefits encompass improved social interaction, enhanced cognitive functioning, increased emotional well-being, and reduced caregiver burden. The deployment of LLMs in caregiving frameworks also raises a number of concerns and considerations. These include privacy and safety concerns, the need for empirical validation, user-centered design, adaptation to the user's unique needs, and the integration of multimodal inputs to create more immersive and personalized experiences. Additionally, ethical guidelines and privacy protocols must be established to ensure responsible and ethical deployment of LLMs.ResultsWe report the results on a questionnaire filled in by people with dementia (PwD) and their supporters wherein we surveyed the usefulness of different application scenarios of LLMs as well as the features that LLM-powered apps should have. Both PwD and supporters were largely positive regarding the prospect of LLMs in care, although concerns were raised regarding bias, data privacy and transparency.DiscussionOverall, this review corroborates the promising utilization of LLMs to positively impact dementia care by boosting cognitive abilities, enriching social interaction, and supporting caregivers. The findings underscore the importance of further research and development in this field to fully harness the benefits of LLMs and maximize their potential for improving the lives of individuals living with dementia.

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Section: Methodsmentioning

confidence: 99%

Introduction to Large Language Models (LLMs) for dementia care and research

Treder,

Lee,

Tsvetanov

2024

Front. Dement.

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“…However, there are critiques and concerns to consider. A significant number of patients with neurodegenerative conditions such as PD are old and, therefore, potentially not technologically literate; furthermore, they may develop cognitive impairments even during the prodromal stages [43], resulting in challenges in the appropriate use of smartphones or biosensors [44]. Another critique of the use of wearables and biosensors is the risk of a low signal-to-noise ratio and an increased cognitive burden for physicians.…”

Section: Artificial Intelligence (Ai)-assisted Teleneurology: Role Of...mentioning

confidence: 99%

Challenges of Teleneurology in the Care of Complex Neurodegenerative Disorders: The Case of Parkinson’s Disease with Possible Solutions

Fereshtehnejad,

Lökk

2023

Healthcare

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Teleneurology is a specialist field within the realm of telemedicine, which is dedicated to delivering neurological care and consultations through virtual encounters. Teleneurology has been successfully used in acute care (e.g., stroke) and outpatient evaluation for chronic neurological conditions such as epilepsy and headaches. However, for some neurologic entities like Parkinson’s disease, in which an in-depth physical examination by palpating muscles and performing neurologic maneuvers is the mainstay of monitoring the effects of medication, the yield and feasibility of a virtual encounter are low. Therefore, in this prospective review, we discuss two promising teleneurology approaches and propose adjustments to enhance the value of virtual encounters by improving the validity of neurological examination: ‘hybrid teleneurology’, which involves revising the workflow of virtual encounters; and ‘artificial intelligence (AI)-assisted teleneurology’, namely the use of biosensors and wearables and data processing using AI.

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“…As older adults face late-life disabilities, banking and paying bills are among the largely retained household activities [69]. Similarly, people with mild to moderate dementia use mobile phones for online shopping and banking [24] while being aware of online information eliciting distrust such as pop-ups requiring financial commitments or bank details [22].…”

Section: Banking and Finance Challengesmentioning

confidence: 99%

“…Older adults with low technology use find intelligent voice assistants (e.g., Amazon Echo Dot) helpful for online or local information search (e.g., the hours and location of the nearest bank branch) while raising credibility and reliability concerns [54]. People with mild to moderate dementia report high-stress interactions with voice-based systems, which might fail to understand them (possibly due to changes in their speech patterns, stutter, and greater pauses between words) [24]. More accessibility issues of conversational user interfaces include meaningful representation of conversation sequences, cognitive load, and data/operation transparency [41].…”

Section: 24mentioning

confidence: 99%

Cognitive Accessibility of Digital Payments: A Literature Review

Dai

Miedema

Hernandez

et al. 2023

20th International Web for All Conference

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Given its current ubiquity in banking and other services, digital payments should be accessible to all, but neurodiverse populations encounter barriers often understudied in research and practice. A greater understanding of user needs across the neurodivergent spectrum will thus improve universal access. To characterize the cognitive accessibility of digital payments, this literature review examines 30 scholarly publications, nuancing the challenges of online banking for older adults and people with neurodiverse needs. Our findings uncover a range of potential design and support strategies, including simplifying interfaces with diversified cues, raising designer awareness and participant involvement, extending thirdparty support, and leveraging new technological aids. We further discuss implications for digital currency design through support for user agency, collaborative payments, contextualized inclusive approaches, and AI-powered accessible design, hopefully inspiring future research on improving web accessibility. CCS CONCEPTS• Human-centered computing → Accessibility.

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Mobile Phone Use by People with Mild to Moderate Dementia: Uncovering Challenges and Identifying Opportunities

Cited by 14 publications

References 97 publications

Introduction to Large Language Models (LLMs) for dementia care and research

Introduction to Large Language Models (LLMs) for dementia care and research

Challenges of Teleneurology in the Care of Complex Neurodegenerative Disorders: The Case of Parkinson’s Disease with Possible Solutions

Cognitive Accessibility of Digital Payments: A Literature Review

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