Using Adaptive Feedback for Promoting Awareness about Physical Activeness in Adults

Mukhtar, Hamid; Belaïd, Djamel

doi:10.1109/uic-atc.2013.99

Cited by 8 publications

(13 citation statements)

References 15 publications

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“…This article presents the preliminary work on the importance of analytics in persuasion and is based upon the learning from the previous work on the design and development of persuasive healthcare applications [10][11] [12]. Nevertheless, it also draws on the experiences of the work done by others in the domain of persuasive technology and pointers to them are provided throughout the article.…”

Section: A the Need For Analytical Modelsmentioning

confidence: 99%

“…In this section, the author explains how analytical modeling can be applied for persuasion in some previous work [10]. Sedentaware is mobile application to raise awareness about sedentary behavior in users and to persuade them to do physical activities, if and only when needed.…”

Section: Case Study: Sedentawarementioning

confidence: 99%

“…However, unlike many of the similar approaches developed previously, the app uses a mathematical model to determine the appropriate moment for alarm. This concept is depicted in figure 4, adapted from our previous work [10] for four different users with varying levels of behavior. As it can be observed, user1 is active 50% of the time and gets no alarm (or trigger), because he does not need one.…”

Section: Case Study: Sedentawarementioning

confidence: 99%

“…The behavior is detected using activity recognition on user's mobile phone. Interested readers are referred to [10] for further details on development of the model, the data logging procedure used in the application as well as the evaluation by test users. Note that the application translates the persuader goal of prevention of sedentary behavior into the activeness goal of the user.…”

Section: Case Study: Sedentawarementioning

confidence: 99%

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Towards Analytical Modeling for Persuasive Design Choices in Mobile Apps

Mukhtar¹

2016

ijacsa

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Abstract-Persuasive technology has emerged as a new field of research in the past decade with its applications in various domains including web-designing, human-computer interaction, healthcare systems, and social networks. Although persuasive technology has its roots in psychology and cognitive sciences, researchers from the computing disciplines are also increasingly interested in it. Unfortunately, the existing theories, models, and frameworks for persuasive system design fall short due to absence of systematic design processes mostly used in the computing domains as well as lack of support for appropriate post-analysis.This work provides some insight into such limitations and identifies the importance of analytical modeling for persuasion in mobile applications design. The authors illustrate, using a case study, that appropriate mathematical models can be applied together with user modeling to develop a persuasive system that will allow the designer to consider several design choices simultaneously.

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Section: A the Need For Analytical Modelsmentioning

confidence: 99%

Section: Case Study: Sedentawarementioning

confidence: 99%

Section: Case Study: Sedentawarementioning

confidence: 99%

Section: Case Study: Sedentawarementioning

confidence: 99%

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Towards Analytical Modeling for Persuasive Design Choices in Mobile Apps

Mukhtar¹

2016

ijacsa

Self Cite

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“…Each user can be persuaded by different strategies at different times. Previously, we developed a mobile phone application called Sedentaware whose purpose was to promote activeness in adults by monitoring their physical activities and providing them with appropriate feedback to adjust their behavior accordingly [3]. To make the application engaging for the users, we used several design techniques that would persuade the users to take preventive actions.…”

Section: Introductionmentioning

confidence: 99%

Using Persuasive Recommendations in Wellness Applications based upon User Activities

Mukhtar¹

2016

ijacsa

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Abstract-Recently, a large number of mobile wellness applications have emerged for assisting users in self-monitoring of daily food intake and physical activities. While such applications are in abundance, many research surveys have found that the users soon give them up after giving some initial try. This article presents our application for healthcare self-management that monitors users' activities but -unlike the existing applicationsit focuses on keeping the users engaged for self-management. The distinguishing feature of our application is that it uses persuasive mechanisms to help users adopt healthy behavior. For this purpose, users' various activities are monitored and then they are persuaded using different persuasion strategies that are adaptive and are according to their behavior.For each user, a behavior model is created that is based on Fogg's behavior model but, in addition, it also holds within it user preferences, and user health profile. The behavior model is then used to create a persuasion profile of the user that allows us to propose personalized suggestions targeted to overcome his lacking behavior. We also describe a case study that describes the actual application.

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A Systematic Mapping Study on the Use of Motivational Theories in the Design of Motivational Software

2020

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Background: Motivation is a key issue in people's lives. Motivated people are more likely to accomplish the goals they set out to achieve. For this reason, it is essential to motivate people in their lives. At present, the world of information and communications technologies (ICT) is evolving rapidly, and humans are used to interacting with a large number of software applications. Therefore, it would be valuable to endow these apps with a motivating function. Objective: To identify the main characteristics of motivational software products that are based on motivational strategies and how they are used in order to pinpoint patterns and relationships. Method: A systematic mapping study of software applications that motivate users to achieve their goals. Results: We have retrieved large number of studies applying and combining multiple motivational strategies, leading to different ways of motivating users. Conclusion: We have built a knowledge base based on the connections/relationships between the employed motivational strategies, participant characteristics, the target behaviour to be encouraged or discouraged, and the devices on which motivational software runs.

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Using Adaptive Feedback for Promoting Awareness about Physical Activeness in Adults

Cited by 8 publications

References 15 publications

Towards Analytical Modeling for Persuasive Design Choices in Mobile Apps

Towards Analytical Modeling for Persuasive Design Choices in Mobile Apps

Using Persuasive Recommendations in Wellness Applications based upon User Activities

A Systematic Mapping Study on the Use of Motivational Theories in the Design of Motivational Software

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