Acceptance of virtual agents in a homecare context: Evaluation of excessive daytime sleepiness in apneic patients during interventions by continuous positive airway pressure (CPAP) providers

Dupuy, Lucile; Micoulaud‐Franchi, Jean‐Arthur; Philip, Pierre

doi:10.1111/jsr.13094

Cited by 15 publications

(38 citation statements)

References 28 publications

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“…Among the studies that reported a study design, mixed method studies (8/36, 22%) [ 10 , 28 , 39 - 44 ] and pilot studies (8/36, 22%) [ 31 , 34 , 38 , 45 - 48 ] were the most commonly used study designs, followed by qualitative studies (6/36, 17%) [ 11 , 26 , 35 , 49 - 51 ], randomized controlled trials (5/36, 14%) [ 32 , 37 , 52 - 54 ], ongoing trials (4/36, 11%) [ 33 , 55 - 57 ], quasiexperimental designs (2/36, 6%) [ 30 ], longitudinal study (1/36, 3%) [ 29 ], single-group nonrandomized trial (1/36, 3%) [ 36 ], and pre- and posttest design (1/36, 3%) [ 27 ]. Of the 36 studies, 30 (83%) were conducted on patients (15/36, 42%) [ 10 , 26 , 32 , 34 - 37 , 40 , 42 , 47 , 52 , 54 - 57 ] or healthy individuals (15/36, 42%) [ 11 , 27 , 29 - 31 , 44 - 46 , 48 - 51 , 53 ] and 6 (17%) [ 28 , 33 , 38 , 39 , 41 , 43 ] on stakeholders such as homecare providers or experts. The mean age of the target population across studies was >40 years, except for 19% (7/36) of the studies [ 30 , 33 , 35 , 47 , 53 , 57 ].…”

Section: Resultsmentioning

confidence: 99%

Embodied Conversational Agents for Chronic Diseases: Scoping Review

Jiang,

Huang,

Wang

et al. 2024

J Med Internet Res

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Background Embodied conversational agents (ECAs) are computer-generated animated humanlike characters that interact with users through verbal and nonverbal behavioral cues. They are increasingly used in a range of fields, including health care. Objective This scoping review aims to identify the current practice in the development and evaluation of ECAs for chronic diseases. Methods We applied a methodological framework in this review. A total of 6 databases (ie, PubMed, Embase, CINAHL, ACM Digital Library, IEEE Xplore Digital Library, and Web of Science) were searched using a combination of terms related to ECAs and health in October 2023. Two independent reviewers selected the studies and extracted the data. This review followed the PRISMA-ScR (Preferred Reporting Items of Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) statement. Results The literature search found 6332 papers, of which 36 (0.57%) met the inclusion criteria. Among the 36 studies, 27 (75%) originated from the United States, and 28 (78%) were published from 2020 onward. The reported ECAs covered a wide range of chronic diseases, with a focus on cancers, atrial fibrillation, and type 2 diabetes, primarily to promote screening and self-management. Most ECAs were depicted as middle-aged women based on screenshots and communicated with users through voice and nonverbal behavior. The most frequently reported evaluation outcomes were acceptability and effectiveness. Conclusions This scoping review provides valuable insights for technology developers and health care professionals regarding the development and implementation of ECAs. It emphasizes the importance of technological advances in the embodiment, personalized strategy, and communication modality and requires in-depth knowledge of user preferences regarding appearance, animation, and intervention content. Future studies should incorporate measures of cost, efficiency, and productivity to provide a comprehensive evaluation of the benefits of using ECAs in health care.

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Section: Resultsmentioning

confidence: 99%

Embodied Conversational Agents for Chronic Diseases: Scoping Review

Jiang,

Huang,

Wang

et al. 2024

J Med Internet Res

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“…This review included 41 reports, all of which were journal articles 16–23,44–76 . Most of these reports were published within the last 4 years of the review period, a finding that reflects the growth of this area in recent years: 17 reports were published in 2021, 6 reports were published in 2020, 6 reports were published in 2019, and 5 reports were published in 2018.…”

Section: Resultsmentioning

confidence: 99%

Depiction of conversational agents as health professionals: a scoping review

MacNeill,

et al. 2024

JBI Evidence Synthesis

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Objective: The purpose of this scoping review was to examine the depiction of conversational agents as health professionals. We identified the professional characteristics that are used with these depictions and determined the prevalence of these characteristics among conversational agents that are used for health care. Introduction: The depiction of conversational agents as health professionals has implications for both the users and the developers of these programs. For this reason, it is important to know more about these depictions and how they are implemented in practical settings. Inclusion criteria: This review included scholarly literature on conversational agents that are used for health care. It focused on conversational agents designed for patients and health seekers, not health professionals or trainees. Conversational agents that address physical and/or mental health care were considered, as were programs that promote healthy behaviors. Methods: This review was conducted in accordance with JBI methodology for scoping reviews. The databases searched included MEDLINE (PubMed), Embase (Elsevier), CINAHL with Full Text (EBSCOhost), Scopus, Web of Science, ACM Guide to Computing Literature (ACM Digital Library), and IEEE Xplore (IEEE). The main database search was conducted in June 2021, and an updated search was conducted in January 2022. Extracted data included characteristics of the report, basic characteristics of the conversational agent, and professional characteristics of the conversational agent. Extracted data were summarized using descriptive statistics. Results are presented in a narrative summary and accompanying tables. Results: A total of 38 health-related conversational agents were identified across 41 reports. Six of these conversational agents (15.8%) had professional characteristics. Four conversational agents (10.5%) had a professional appearance in which they displayed the clothing and accessories of health professionals and appeared in professional settings. One conversational agent (2.6%) had a professional title (Dr), and 4 conversational agents (10.5%) were described as having professional roles. Professional characteristics were more common among embodied versus disembodied conversational agents. Conclusions: The results of this review show that the depiction of conversational agents as health professionals is not particularly common, although it does occur. More discussion is needed on the potential ethical and legal issues surrounding the depiction of conversational agents as health professionals. Future research should examine the impact of these depictions, as well as people’s attitudes toward them, to better inform recommendations for practice.

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“…They also showed that there was no significant difference in the use of the two systems, which therefore did not influence the results on acceptability. Dupuy et al [38] also showed that VA in sleep apnea follow-up is well accepted by both patients and caregivers, regardless of their demographic or clinical characteristics, which is not the case in other studies such as Ref. [39], showing that older and less-educated patients accepted the VA for psychiatric interviews better than younger and welleducated patients.…”

Section: Virtualmentioning

confidence: 91%

A Review of Virtual Assistants’ Characteristics: Recommendations for Designing an Optimal Human–Machine Cooperation

Gilles

Bevacqua

2022

Journal of Computing and Information Science in Engineering

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Designed to improve human-machine interactions, virtual agents, and particularly virtual assistants (VAs), are spreading in our daily lives. Presenting a very wide variety of characteristics, studies generally report their own agent with its own characteristics and objective. So we can wonder if some of these characteristics are a consensus for VAs in general. Within this work, we aim to identify the agents' characteristics that should be considered when designing a virtual assistant promoting the best communication and cooperation between man and machine. We review the aspects of representation of the agent (embodied or not) and its ability to interact with the human being whether by speech or gestures, but also by displaying personality traits. This overview makes some focuses on virtual assistance of any kind embarked on vehicles.

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Acceptance of virtual agents in a homecare context: Evaluation of excessive daytime sleepiness in apneic patients during interventions by continuous positive airway pressure (CPAP) providers

Cited by 15 publications

References 28 publications

Embodied Conversational Agents for Chronic Diseases: Scoping Review

Embodied Conversational Agents for Chronic Diseases: Scoping Review

Depiction of conversational agents as health professionals: a scoping review

A Review of Virtual Assistants’ Characteristics: Recommendations for Designing an Optimal Human–Machine Cooperation

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