A Context-adaptive Smoking Cessation System Using Videos.
Monday, March 22, 2021
Posted by: Natalia Gromov
Asaeikheybari
G, Hooper MW, Huang MC.
A Context-adaptive Smoking
Cessation System Using Videos.
Smart Health (Amst). 2021 Mar;19:100148. doi: 10.1016/j.smhl.2020.100148.
Epub 2020 Nov 21. PMID: 33299925; PMCID: PMC7720880.
Cigarette smoking is the primary preventable cause of death and disease
worldwide. Studies reveal that smoking is associated with psychiatric symptoms,
sociodemographic characteristics, social stressors, and lack of social support.
In general, smokers report poorer mental health and benefit from support to be
able to quit smoking (Jorm et al., 1999). In this paper, a tailored smoking
cessation system has been developed in which the counseling and support is
delivered via video-messaging. The system engages users in adaptive motivating
video access. Users can interact with the system and the system selects the
best matching video for them by processing their messages using Natural
Language Processing (NLP). We have tailored 77 videos for interactive contents
that encompass important issues users might face during the process of smoking
cessation. A novel application-based data driven approach has been taken for
categorizing videos to push to participants. The approach is based on analyzing
750 messages of people in the cessation process. We observed that most of the
messages' contents were about smoking health effects, cravings, triggers,
relapse, positive mood, low cessation self efficacy, medications, and
culturally specific targeting inquiries. Considering these categories, videos
are categorized to the corresponding groups by an intelligent approach. The
information underlying the data driven categories allows for improving and
facilitating smoking status assessment. The system has the potential for
improving future smoking cessation decision-making adaptive interventions and
health monitoring systems. The goal is to tailor the system to meet the needs
of the users in real-time and maximize the potential impact.
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