@article{Calvo:2022:10.2196/preprints.42965,
author = {Calvo, R and Peters, D and Cook, D and Rizos, G and Schuller, B and Wong, E and Kallis, C and Quint, J},
doi = {10.2196/preprints.42965},
title = {Assessing the design of Conversational Agents for Asthma support: Protocol for an Observational Pilot Study (Preprint)},
url = {http://dx.doi.org/10.2196/preprints.42965},
year = {2022}
}

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TY  - JOUR
AB  - <sec>                    <title>BACKGROUND</title>                        <p>A significant number of people have poorly controlled asthma – 60% according to some estimates. One likely reason is poor self-assessment of risk by those with asthma, an issue that could be addressed with a conversational agent that assesses and communicates risk accurately. Such a system could further improve outcomes by providing follow-up recommendations to address other common obstacles to asthma control such as poor inhaler technique and insufficient understanding of asthma triggers and management strategies.</p>                </sec>                                <sec>                    <title>OBJECTIVE</title>                        <p>The aims of this study are to: 1) Determine the feasibility and usabilityof a text-based conversational agent (i.e. chatbot) that processes a patient’s text responses and short sample voice recordings to calculate an estimate of their risk for an asthma exacerbation and then offers follow-up information for improving asthma control;  2) Assess the level of engagement of different types of users, particularly those who do not control their asthma well; 3) Assess self-reported level of asthma control and symptoms and 4) explores associations between asthma control and engagement with the conversational agent.</p>                </sec>                                <sec>                    <title>METHODS</title>                        <p>For this pilot study we will recruit 90 adults with asthma through NHS outpatient clinics across primary and secondary care. Participants will have access to the conversational agent through WhatsApp on their mobile phone. Participants will be sent scheduled and randomly timed messages to invite them to engage in a dialogue about their asthma management during the period of the study. After a data collection pe
AU  - Calvo,R
AU  - Peters,D
AU  - Cook,D
AU  - Rizos,G
AU  - Schuller,B
AU  - Wong,E
AU  - Kallis,C
AU  - Quint,J
DO  - 10.2196/preprints.42965
PY  - 2022///
TI  - Assessing the design of Conversational Agents for Asthma support: Protocol for an Observational Pilot Study (Preprint)
UR  - http://dx.doi.org/10.2196/preprints.42965
ER  - 

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