Persuasive system features in computer-mediated lifestyle modification interventions for physical activity

Win, Khin Than; Roberts, Madeleine; Oinas-Kukkonen, Harri

doi:10.1080/17538157.2018.1511565

Cited by 28 publications

(10 citation statements)

References 94 publications

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“…The reason may be that moderate activities generally refer to sports such as badminton, table tennis, and cycling, indicating that the college student group lacks additional moderate activities in addition to some daily activities. Therefore, it is necessary to strengthen the overall amount of moderate physical activity of college students (Win et al, 2019). College students with 1-2 days of strong activities account for the most (47.26%); the proportion of students with strong activities in 10-20 min is 39.58%, which is similar to the research results of Chan et al (2019), indicating that the college student lack normal heavy exercise.…”

Section: Discussionsupporting

confidence: 71%

The Motor Function Evaluation of College Students’ Physical Activity State From the Perspective of Educational Psychology

Song

Yao

2021

Front. Psychol.

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College students have taken part in less and less physical activities as a result of the common static lifestyle in recent years, lowering the level of motor function. This phenomenon has been a source of concern for schools and the government, and it is necessary to take corresponding measures to change it. The general motor function level of Chinese college students is explored first based on artificial intelligence and the human–computer interaction technology. The Physical Activity Questionnaire for College Students is compiled by referring to the International Physical Activity Questionnaire, and 561 students from colleges in Tianjin province are assessed based on the functional movement screen (FMS). Spearman correlation and multivariate regression analysis (MRA) are used to analyze the correlation between the motor function and physical activity status. In terms of lunch break frequency, the proportion of students having one to two lunch breaks in a week is the highest (54.15%); in terms of the frequency of doing moderate physical exercise, the proportion of students doing moderate physical exercise for 1–2 days in a week is the highest (50.61%); in terms of the frequency of doing heavy physical exercise, the proportion of students doing heavy exercise for 1–2 days in a week is the highest (47.26%); in terms of the sedentary time, the proportion of students with sedentary time more than 5 h in a day is the highest (40.61%); in terms of eye use time, the proportion of students with 8–10 h eye use time in a day is the highest (43.61%). Besides, in terms of the FMS score, the proportion of students with 13–15 FMS is the highest (48.46%). The hurdle step (21.03%), straight knee lift (22.52%), and body rotation stability (18.31%) have a relatively low proportion among the three-point items. There is a positive correlation between motor function score with the time of moderate exercise and the time of heavy exercise (P < 0.05). College students generally have insufficient rest time, long eye use time, and long sitting time, leading to a low level of motor function, manifested by an asymmetry between both sides of the body and poor trunk stability. It is recommended to add hurdling steps, straight knee lifts, and body rotation stability tests to college physical education courses.

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Section: Discussionsupporting

confidence: 71%

The Motor Function Evaluation of College Students’ Physical Activity State From the Perspective of Educational Psychology

Song

Yao

2021

Front. Psychol.

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“…While both UI designs were informed by PSD principles, Design B contained a greater number of principles (ie 46) across the 8 tasks compared to Design A (ie 35) (see Table 1 ). The app UIs were designed to elicit preferences of user interactions, including: ( 1 ) realistic image versus (vs) illustrative image; ( 2 ) button vs button plus infographic; ( 3 ) fill-in-the-blank vs the following: drop-down list, infographic gallery, infographic gallery plus swipe view, infographic gallery plus checkbox, infographic gallery plus structured format, and drag-and-drop; ( 4 ) slider vs slider plus infographic; ( 5 ) navigation tab vs hamburger button; ( 6 ) infographic gallery vs infographic carousel; ( 7 ) vertical layout vs horizontal layout; ( 8 ) manual vs auto calculation; and ( 9 ) voice query vs manual entry (see Tables 2 and 3 ).…”

Section: Methodsmentioning

confidence: 99%

Application of persuasive systems design principles to design a self-management application user interface for Hispanic informal dementia caregivers: user preferences and perceptions

et al. 2022

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Objective We designed an mHealth application (app) user interface (UI) prototype informed by participatory design sessions, persuasive systems design (PSD) principles, and Lorig and Holman’s self-management behavior framework to support self-management activities of Hispanic informal dementia caregivers and assessed their perceptions and preferences regarding features and functions of the app. Materials and Methods Our observational usability study design employed qualitative methods and forced choice preference assessments to identify: (1) the relationship between user preferences for UI features and functions and PSD principles and (2) user preferences for UI design features and functions and app functionality. We evaluated 16 pairs of mHealth app UI prototype designs. Eight paper-based paired designs were used to assess the relationship between PSD principles and caregiver preferences for UI features and functions to support self-management. An Apple iPad WIFI 32GB was used to display another 8 paired designs and assess caregiver preferences for UI functions to support the self-management process. Results Caregivers preferred an app UI with features and functions that incorporated a greater number of PSD principles and included an infographic to facilitate self-management. Moreover, caregivers preferred a design that did not depend on manual data entry, opting instead for functions such as drop-down list, drag-and-drop, and voice query to prioritize, choose, decide, and search when performing self-management activities. Conclusion Our assessment approaches allowed us to discern which UI features, functions, and designs caregivers preferred. The targeted application of PSD principles in UI designs holds promise for supporting personalized problem identification, goal setting, decision-making, and action planning as strategies for improving caregiver self-management confidence.

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“…To our knowledge, no bibliometric analysis of scientific literature on digital technologies for health behavior change has been published. However, a lot of research has been conducted on different aspects of PT and health domains, for example, the literature about the persuasive design principle in different technology domains [14-17] or systematic reviews about the effectiveness and prevalence of the persuasive systems [18-20]. Only a few studies evaluated the effectiveness of PT for health and well-being; it was hard to establish long-term effectiveness because of the lack of long-term evaluation methods.…”

Section: Introductionmentioning

confidence: 99%

Digital Health Behavior Change Technology: Bibliometric and Scoping Review of Two Decades of Research

Taj¹,

Klein²,

Halteren³

2019

JMIR Mhealth Uhealth

141

108

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BackgroundResearch on digital technology to change health behavior has increased enormously in recent decades. Due to the interdisciplinary nature of this topic, knowledge and technologies from different research areas are required. Up to now, it is not clear how the knowledge from those fields is combined in actual applications. A comprehensive analysis that systematically maps and explores the use of knowledge within this emerging interdisciplinary field is required.ObjectiveThis study aims to provide an overview of the research area around the design and development of digital technologies for health behavior change and to explore trends and patterns.MethodsA bibliometric analysis is used to provide an overview of the field, and a scoping review is presented to identify the trends and possible gaps. The study is based on the publications related to persuasive technologies and health behavior change in the last 18 years, as indexed by the Web of Science and Scopus (317 and 314 articles, respectively). In the first part, regional and time-based publishing trends; research fields and keyword co-occurrence networks; influential journals; and collaboration network between influential authors, countries, and institutions are examined. In the second part, the behavioral domains, technological means and theoretical foundations are investigated via a scoping review.ResultsThe literature reviewed shows a clear and emerging trend after 2001 in technology-based behavior change, which grew exponentially after the introduction of the smartphone around 2009. Authors from the United States, Europe, and Australia have the highest number of publications in the field. The three most active research areas are computer science, public and occupational health, and psychology. The keyword “mhealth” was the dominant term and predominantly used together with the term “physical activity” and “ehealth”. A total of three strong clusters of coauthors have been found. Nearly half of the total reported papers were published in three journals. The United States, the United Kingdom, and the Netherlands have the highest degree of author collaboration and a strong institutional network. Mobile phones were most often used as a technology platform, regardless of the targeted behavioral domain. Physical activity and healthy eating were the most frequently targeted behavioral domains. Most articles did not report about the behavior change techniques that were applied. Among the reported behavior change techniques, goal setting and self-management were the most frequently reported.ConclusionsCloser cooperation and interaction between behavioral sciences and technological areas is needed, so that theoretical knowledge and new technological advancements are better connected in actual applications. Eventually, this could result in a larger societal impact, an increase of the effectiveness of digital technologies for health behavioral change, and more insight in the relationship between behavioral change strategies and persuasive technologies' effectiven...

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Persuasive system features in computer-mediated lifestyle modification interventions for physical activity

Cited by 28 publications

References 94 publications

The Motor Function Evaluation of College Students’ Physical Activity State From the Perspective of Educational Psychology

The Motor Function Evaluation of College Students’ Physical Activity State From the Perspective of Educational Psychology

Application of persuasive systems design principles to design a self-management application user interface for Hispanic informal dementia caregivers: user preferences and perceptions

Digital Health Behavior Change Technology: Bibliometric and Scoping Review of Two Decades of Research

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