Lost in persuasion A multidisciplinary approach for developing usable, effective, and reproducible persuasive technology for health promotion

Henkemans, O.A. Blanson; Empelen, Pepijn van; Paradies, G.L.; Looije, Rosemarijn; Neerincx, Mark A.

doi:10.4108/icst.pervasivehealth.2015.259161

Cited by 4 publications

(3 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… 57 PT targets automation of behaviour change 27 through influencing the determinants of behaviour, such as attitude, beliefs and social norms, to improve the users’ intentions to perform the target behaviour. 58 …”

Section: Background and Related Workmentioning

confidence: 99%

The behaviour change behind a successful pilot of hypoglycaemia reduction with HYPO-CHEAT

et al. 2023

View full text Add to dashboard Cite

Background Children with hypoglycaemia disorders, such as congenital hyperinsulinism (CHI), are at constant risk of hypoglycaemia (low blood sugars) with the attendant risk of brain injury. Current approaches to hypoglycaemia detection and prevention vary from fingerprick glucose testing to the provision of continuous glucose monitoring (CGM) to machine learning (ML) driven glucose forecasting. Recent trends for ML have had limited success in preventing free-living hypoglycaemia, due to a focus on increasingly accurate glucose forecasts and a failure to acknowledge the human in the loop and the essential step of changing behaviour. The wealth of evidence from the fields of behaviour change and persuasive technology (PT) allows for the creation of a theory-informed and technologically considered approach. Objectives We aimed to create a PT that would overcome the identified barriers to hypoglycaemia prevention for those with CHI to focus on proactive prevention rather than commonly used reactive approaches. Methods We used the behaviour change technique taxonomy and persuasive systems design models to create HYPO-CHEAT (HYpoglycaemia-Prevention-thrOugh-Cgm-HEatmap-Assisted-Technology): a novel approach that presents aggregated CGM data in simple visualisations. The resultant ease of data interpretation is intended to facilitate behaviour change and subsequently reduce hypoglycaemia. Results HYPO-CHEAT was piloted in 10 patients with CHI over 12 weeks and successfully identified weekly patterns of hypoglycaemia. These patterns consistently correlated with identifiable behaviours and were translated into both a change in proximal fingerprick behaviour and ultimately, a significant reduction in aggregated hypoglycaemia from 7.1% to 5.4% with four out of five patients showing clinically meaningful reductions in hypoglycaemia. Conclusions We have provided pilot data of a new approach to hypoglycaemia prevention that focuses on proactive prevention and behaviour change. This approach is personalised for individual patients with CHI and is a first step in changing our approach to hypoglycaemia prevention in this group.

show abstract

Section: Background and Related Workmentioning

confidence: 99%

The behaviour change behind a successful pilot of hypoglycaemia reduction with HYPO-CHEAT

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The levels that resulted from the performed analysis using STC can be seen in Figure 7. The red color indicates the case number is high ( >=5), the orange color indicates a moderate number of cases (3)(4), and the yellow color indicates the number of daily cases is very low (<=2). The messages will be customized based on the district level.…”

Section: Step 3: Creating a Local Gis Map Of Covid-19 For Jeddah By D...mentioning

confidence: 99%

“…It could be seen as training in the form of a message. Meanwhile, persuasion is intended more for high-involvement health practices [4].…”

Section: Introduction Backgroundmentioning

confidence: 99%

Towards a Customized¬ Awareness Campaign to Educate the Public about COVID-19: Development and Validation of a Messaging Campaign to Promote Precautionary Behavior Using Geospatial Intelligence in Saudi Arabia (Preprint)

Alrige¹,

Bitar²,

Meccawi³

et al. 2020

Preprint

View full text Add to dashboard Cite

BACKGROUND Designing a health promotion campaign is never an easy task, especially during a pandemic of a highly infectious disease, such as Covid-19. In Saudi Arabia, many attempts have been made toward raising the public awareness about Covid-19 infection-level and its precautionary health measures that have to be taken. Although this is useful, most of the health information delivered through the national dashboard and the awareness campaign are very generic and not necessarily make the impact we like to see on individuals’ behavior. OBJECTIVE The objective of this study is to build and validate a customized awareness campaign to promote precautionary health behavior during the COVID-19 pandemic. The customization is realized by utilizing a geospatial artificial intelligence technique called Space-Time Cube (STC) technique. METHODS This research has been conducted in two sequential phases. In the first phase, an initial library of thirty-two messages was developed and validated to promote precautionary messages during the COVID-19 pandemic. This phase was guided by the Fogg Behavior Model (FBM) for behavior change. In phase 2, we applied STC as a Geospatial Artificial Intelligence technique to create a local map for one city representing three different profiles for the city districts. The model was built using COVID-19 clinical data. RESULTS Thirty-two messages were developed based on resources from the World Health Organization and the Ministry of Health in Saudi Arabia. The enumerated content validity of the messages was established through the utilization of Content Validity Index (CVI). Thirty-two messages were found to have acceptable content validity (I-CVI=.87). The geospatial intelligence technique that we used showed three profiles for the districts of Jeddah city: one for high infection, another for moderate infection, and the third for low infection. Combining the results from the first and second phases, a customized awareness campaign was created. This awareness campaign would be used to educate the public regarding the precautionary health behaviors that should be taken, and hence help in reducing the number of positive cases in the city of Jeddah. CONCLUSIONS This research delineates the two main phases to developing a health awareness messaging campaign. The messaging campaign, grounded in FBM, was customized by utilizing Geospatial Artificial Intelligence to create a local map with three district profiles: high-infection, moderate-infection, and low-infection. Locals of each district will be targeted by the campaign based on the level of infection in their district as well as other shared characteristics. Customizing health messages is very prominent in health communication research. This research provides a legitimate approach to customize health messages during the pandemic of COVID-19.

show abstract

Persuasive Multimedia Application for Children Readiness Towards Circumcision

Said

Musa

Sakamat

et al. 2018

Regional Conference on Science, Technology and Social Sciences (RCSTSS 2016)

View full text Add to dashboard Cite

Lost in persuasion A multidisciplinary approach for developing usable, effective, and reproducible persuasive technology for health promotion

Cited by 4 publications

References 28 publications

The behaviour change behind a successful pilot of hypoglycaemia reduction with HYPO-CHEAT

The behaviour change behind a successful pilot of hypoglycaemia reduction with HYPO-CHEAT

Towards a Customized¬ Awareness Campaign to Educate the Public about COVID-19: Development and Validation of a Messaging Campaign to Promote Precautionary Behavior Using Geospatial Intelligence in Saudi Arabia (Preprint)

Persuasive Multimedia Application for Children Readiness Towards Circumcision

Contact Info

Product

Resources

About