Personalizing Persuasive Technologies

Abdullahi, Aisha Muhammad; Orji, Rita; Oyibo, Kiemute

doi:10.1145/3213586.3225246

Cited by 14 publications

(3 citation statements)

References 10 publications

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“…Females have been found to be more sensitive to reward strategies. 37 , 51 Possible reasons for this are that females have more emotional mechanisms in their brains than males, 52 which may also lead to a greater tendency for females to resort to emotional strategies. 49 In a study promoting physical activity, Busch et al 53 showed that both the gender of the target audience and the degree to which they described themselves as feminine influenced the effectiveness of persuasive strategies; those with femininity found praise and reward strategies more persuasive.…”

Section: Discussionmentioning

confidence: 99%

The influence of health information attention and app usage frequency of older adults on persuasive strategies in mHealth education apps

et al. 2023

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With the development of mobile communication technology, persuasive technology is widely used in mobile health. Using personalized persuasive strategies in mobile health education (MHE) apps can effectively improve users’ health literacy and health behaviors. The transtheoretical model explains the process of user behavior change. Different usage frequency of the app reflects changes in user behavior. However, few studies have examined how the perceived importance of persuasive strategies among older adults changes with increasing use frequency. In this study, we analyzed the sensitivity of 111 older adults in China to persuasive strategies in MHE apps. Thirteen persuasive strategies were selected for this study. A repeated measure analysis of variance (RM-ANOVA) was used to demonstrate the influence of gender, health information attention and frequency of use on the sensitivity of perceived persuasive strategies among older adults. The results revealed older adults with a high usage frequency of health apps were more receptive to persuasive strategies, especially in social comparison strategy. This result may help developers consider factors such as the frequency of use by older users when designing personalized persuasive strategies for MHE apps.

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Section: Discussionmentioning

confidence: 99%

The influence of health information attention and app usage frequency of older adults on persuasive strategies in mHealth education apps

et al. 2023

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“…Prior research has shown that persuasive applications are more likely to be effective in motivating behavior change and attitude if they are tailored to user's characteristics using a group-based approach defined by demographic variables, such as age, gender, and culture. Specifically, research has shown that using gender to segment a target population holds potential as an effective approach for group-based tailoring [28]. For example, in e-commerce research, "men and women have been shown to differ in their attitudes toward both the Internet and shopping (in conventional environments)" (p. 423) [29].…”

Section: Gender-based Tailoringmentioning

confidence: 99%

Gender Preference and Difference in Behavior Modeling in Fitness Applications: A Mixed-Method Approach

Oyibo

Vassileva

2020

MTI

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In recent years, the employment of behavior models to motivate behavior change has become a global trend in fitness application design. However, there is hardly any large-scale study of these applications to understand users’ exercise-type preferences, their drivers and barriers, and the potential of employing them for gender-based tailoring. To bridge this gap, we conducted a mixed-method study among 669 participants to investigate users’ exercise-type preferences (their drivers and barriers) and how they and gender can impact users’ social-cognitive beliefs and projected performance of bodyweight exercises. Firstly, we presented to the study participants a behavior model performing push-up or squat bodyweight exercise in a fitness application and asked them to rate their perceived self-efficacy, self-regulation, outcome expectation, and projected (exercise) performance level as observers of the behavior model. Secondly, we presented the study participants with a preselected list of commonly employed exercise types in fitness applications and requested them to identify their most/least preferred, and the reasons behind their choices. Our results showed that there were differences between both genders in their exercise-type preferences, perceived self-efficacy and projected exercise performance level. Males prefer push-up, squat, crunch, plank, and chair dip the most, with effectiveness being the most important driver, followed by ease of performance and improvement of the physique, look, and appearance. On the other hand, females prefer squat, crunch, jumping jack, step up, and plank the most, with ease of performance being the most important driver, followed by improvement of the physique, look, appearance, and effectiveness. Moreover, males prefer running in place the least, while females prefer push-up the least, with perceived difficulty being the greatest barrier for both genders. Moreover, our analysis of variance supported the female’s least preference for a push-up. Females have a lower perceived self-efficacy and projected performance level for push-up than males. We discussed the implications of our findings and provided guidelines for tailoring fitness applications on the market to users’ preferences and gender.

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“…It is also important to note that within the marketing and scientific literature, the different variables have always been analysed according to different socio-demographic factors, especially gender and age. On the one hand, gender has always been used to target the population due to the differences in opinion and perception that often exist between males and females ( 28 , 29 ). On the other hand, the age factor has become a determining factor in recent years due to the digital divide, which is manifested in the lower use of technology in middle-aged and older adult audiences ( 30 ).…”

Section: Introductionmentioning

confidence: 99%

Importance-performance analysis in fitness apps. A study from the viewpoint of gender and age

Rodríguez

Fernández

Torrente

et al. 2023

Front. Public Health

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BackgroundWe are currently undergoing a profound process of digital transformation that has favoured the development and use of apps in multiple facets of people’s daily lives. In the fitness industry, this situation has facilitated the control of exercise and the maintenance of healthier lifestyles. However, it is not known how the perceived quality and importance of fitness apps vary for users based on gender and age, which is the objective of this study conducted among users of fitness centres.MethodsBy means of a convenience sample, 321 users from different centres of the boutique fitness chain Sano Centre (238 females and 83 males) took part in the study. They answered the 16 items of the MARS scale, distributed in four dimensions, in terms of importance and perceived quality. The existence of significant differences was analysed using non-parametrical statistics such as the U-Mann-Whitney (gender) and the H-Kruskal-Wallis (age). In addition, a cluster analysis, combining hierarchical and non-hierarchical methods, was analysed considering as a dependent variable the level of recommendation of fitness apps.ResultsConsidering gender, in importance-performance analysis (IPA), credibility was the most important attribute for females and quality of information for males. In the case of age, credibility was the most important attribute in all the ranges. The cluster analysis established two groups (high and low recommendations of the fitness app). In importance, the first group scored better on all factors except entertainment and interest. In valuation, the scores were lower than on importance, especially in the low recommendation group.ConclusionRegarding usage behaviour, credibility is the factor to which users attach the highest importance and rating, regardless of gender and age. The main demand focuses on improving the gestural design and visual appeal, which will facilitate a better user experience.

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Personalizing Persuasive Technologies

Cited by 14 publications

References 10 publications

The influence of health information attention and app usage frequency of older adults on persuasive strategies in mHealth education apps

The influence of health information attention and app usage frequency of older adults on persuasive strategies in mHealth education apps

Gender Preference and Difference in Behavior Modeling in Fitness Applications: A Mixed-Method Approach

Importance-performance analysis in fitness apps. A study from the viewpoint of gender and age

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