Designing a spoken dialogue interface to an intelligent cognitive assistant for people with dementia

Wolters, Maria; Kelly, Fiona; Kilgour, Jonathan

doi:10.1177/1460458215593329

Cited by 70 publications

(38 citation statements)

References 31 publications

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“…In light of their expanding capabilities, conversational agents have the potential to play an increasingly important role in health and medical care, assisting clinicians during the consultation, supporting consumers with behavior change challenges, or assisting patients and elderly individuals in their living environments 10 , 11 . These opportunities also come with potential safety issues, which can lead to patient harm.…”

Section: Introductionmentioning

confidence: 99%

Conversational agents in healthcare: a systematic review

Laranjo

Dunn

Tong

et al. 2018

Journal of the American Medical Informatics Association

836

580

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ObjectiveOur objective was to review the characteristics, current applications, and evaluation measures of conversational agents with unconstrained natural language input capabilities used for health-related purposes.MethodsWe searched PubMed, Embase, CINAHL, PsycInfo, and ACM Digital using a predefined search strategy. Studies were included if they focused on consumers or healthcare professionals; involved a conversational agent using any unconstrained natural language input; and reported evaluation measures resulting from user interaction with the system. Studies were screened by independent reviewers and Cohen’s kappa measured inter-coder agreement.ResultsThe database search retrieved 1513 citations; 17 articles (14 different conversational agents) met the inclusion criteria. Dialogue management strategies were mostly finite-state and frame-based (6 and 7 conversational agents, respectively); agent-based strategies were present in one type of system. Two studies were randomized controlled trials (RCTs), 1 was cross-sectional, and the remaining were quasi-experimental. Half of the conversational agents supported consumers with health tasks such as self-care. The only RCT evaluating the efficacy of a conversational agent found a significant effect in reducing depression symptoms (effect size d = 0.44, p = .04). Patient safety was rarely evaluated in the included studies.ConclusionsThe use of conversational agents with unconstrained natural language input capabilities for health-related purposes is an emerging field of research, where the few published studies were mainly quasi-experimental, and rarely evaluated efficacy or safety. Future studies would benefit from more robust experimental designs and standardized reporting.Protocol RegistrationThe protocol for this systematic review is registered at PROSPERO with the number CRD42017065917.

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Section: Introductionmentioning

confidence: 99%

Conversational agents in healthcare: a systematic review

Laranjo

Dunn

Tong

et al. 2018

Journal of the American Medical Informatics Association

836

580

View full text Add to dashboard Cite

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“…On the other hand, there are approaches that promote the use of assistive technology to help people with dementia with activities of daily living (ADLs) [20,13,18,8] and support different kinds of therapy to address psychological, emotional and behavioral symptoms of dementia [1,3,14,15].…”

Section: Related Workmentioning

confidence: 99%

“…Wolters et al [18] analysed the interaction between people with dementia and a simulated intelligent cognitive assistant (ICA) that support people with dementia who need performing everyday tasks by detecting when problems occur and providing tailored and context-sensitive assistance. They conducted three focus groups with people with dementia, carers, and older people without a diagnosis of dementia.…”

Section: Related Workmentioning

confidence: 99%

Towards a Natural Language-based Dialog Model as an Assistant Tool for Dementia Therapy

Somodevilla¹,

Morales-de-Jesús²

2019

RCS

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Reminiscence therapy is a treatment of dementia that mitigates the unstable psychological states of a person with dementia, through conversations between patient and caregiver that evoke past experiences focusing on the patient's long-term memory. It is recommended that a person with dementia receive this type of therapy constantly. In this work, we propose the design of a dialog model that generates personalized conversations between a conversational system and patients with Alzheimer's disease, with the aim to assist their caregivers in providing this type of therapy. The proposed model will be capable of getting a semantic interpretation about what the user is saying, identifying the type of dialog, also it will use information from the patient's life history and lifestyle to generate the conversations. During the dialog between the system and the patient, the model searches for relevant information related to the patient's history through the use of ontologies to enrich and develop a further conversation.

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“…Some examples include 3-D gestures (e.g., [54,116]) or interactions utilizing the space around the wheelchair [21,22]. Exploring speech input can also be a possibility (e.g., [8,9,23,51,83,90,106,141]) but speech has its own limitations: it can be awkward in public places, it needs trigger phrases to activate which that can potentially be used by anyone, and speech also has privacy issues as anyone in the environment can hear.…”

Section: Exploring Other Interaction Techniquesmentioning

confidence: 99%

Designing and implementing accessible wearable interactions for people with motor impairments

Malu

2018

SIGACCESS Access. Comput.

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Emerging wearable technologies like head-mounted displays (e.g., Google Glass) and wrist-worn devices (e.g., Fitbit, Apple Watch 2.0) are always available, have the potential to provide quick access to information and offer relatively hands-free interaction compared to smartphones. Additionally, they can collect continuous health and fitness-related information of their wearer. For people with disabilities, these technologies may also offer possibilities of independent use. However, people with upper body motor impairments may not be able to gain from the potential benefits that these wearables can offer. For example, challenges related to performing multi-touch gestures and text entry, may magnify as the interaction space of some wearables gets even smaller. In my dissertation, I explore the potential impacts and assess the accessibility of existing mainstream wearable technologies, including head-mounted displays, smartwatches, and fitness trackers. Consequently, I implement and evaluate accessible wearable interactions for people with motor impairments for these wearables, specifically head-mounted displays and smartwatches.

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Designing a spoken dialogue interface to an intelligent cognitive assistant for people with dementia

Cited by 70 publications

References 31 publications

Conversational agents in healthcare: a systematic review

Conversational agents in healthcare: a systematic review

Towards a Natural Language-based Dialog Model as an Assistant Tool for Dementia Therapy

Designing and implementing accessible wearable interactions for people with motor impairments

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