The Persuasive Potential Questionnaire (PPQ): Challenges, Drawbacks, and Lessons Learned

Meschtscherjakov, Alexander; Gärtner, Magdalena; Mirnig, Alexander G.; Rödel, Christina; Tscheligi, Manfred

doi:10.1007/978-3-319-31510-2_14

Cited by 13 publications

(4 citation statements)

References 12 publications

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“…), while squat would resonate more with females because it works out more of the lower part of the body (e.g., hip, legs, etc.). Moreover, to contextualize our investigation, we provided the participants with a description of the Homex app (adapted from [42]) at the beginning of the survey. In the survey, only one of the eight behavior-model versions (e.g., white male performing push-up) was presented to each of the participants in a randomized fashion.…”

Section: Methodsmentioning

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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Section: Methodsmentioning

confidence: 99%

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

Oyibo

Vassileva

2020

MTI

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“…Attempts at persuasion are most effective when personalized to the user (Markopoulos et al 2015;Meschtscherjakov et al 2016). In personalized PT systems, user models are used to adapt system features to the users' emotional, cognitive or behavioral characteristics (Markopoulos et al 2015), for example, by sending an authority-based message to a user that self-reported a high susceptibility to the persuasion principle of authority (Cialdini 2007;Kaptein et al 2012).…”

Section: Goal Of This Workmentioning

confidence: 99%

“…Since people attribute social characteristics to personal information systems (e.g. computers or smartphones) (Fogg 2003;Nass and Moon 2000), persuasion can also occur via a technology-human interaction (Meschtscherjakov et al 2016;Mitchell et al 2020). This resulted in the rise of persuasive technology (PT), which is "a computerized software or information system designed to reinforce, change or shape attitudes or behaviors or both without using coercion or deception" (Oinas-Kukkonen and Harjumaa 2008).…”

Section: Introducing Persuasive Technologymentioning

confidence: 99%

Physiology-based personalization of persuasive technology: a user modeling perspective

Spelt

Westerink

Frank

et al. 2022

User Model User-Adap Inter

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“…A look at the healthcare applications employing spoken dialogue systems reveals that they have been developed mainly for specific domains such as breast cancer screening (Beveridge and Fox, 2006) or military mental healthcare (Morbini et al, 2012). Persuasive technology has focused mostly on healthcare as well, by supporting people in speedy recovery and taking up exercise or taking medication (Meschtscherjakov et al, 2016). The Council of Coaches (COUCH) project designed a system with multiple virtual agents to provide support for users who have for example diabetes or COPD (Op den Akker et al, 2018).…”

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confidence: 99%

Personalized and personal conversations : designing agents who want to know you

Waterschoot

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The Persuasive Potential Questionnaire (PPQ): Challenges, Drawbacks, and Lessons Learned

Cited by 13 publications

References 12 publications

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

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

Physiology-based personalization of persuasive technology: a user modeling perspective

Personalized and personal conversations : designing agents who want to know you

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