1,720,956 research outputs found
Designing Behavior Change Support Systems for Recovery from Addictions: Mapping Software Features with Counseling Strategies
No full textAbstract
Addiction is one of the most important health issues around the world. It affects individuals, families, and societies while traditional approaches struggle with relapse and drop-out rates, accessibility problems, and aftercare support. However, behavior change support systems can offer substantial support by integrating evidence-based counseling strategies with Persuasive Systems Design. This paper presents a framework for mapping psychological approaches (Cognitive Behavioral Therapy, Motivational Interviewing, Minnesota Model, Contingency Management, and Family/Couples Therapies) with specific Persuasive Systems Design principles. This approach fills the gap between treatment and technology by showing how counseling strategies and persuasive software features can support addiction recovery together at different stages of recovery.Abstract
Addiction is one of the most important health issues around the world. It affects individuals, families, and societies while traditional approaches struggle with relapse and drop-out rates, accessibility problems, and aftercare support. However, behavior change support systems can offer substantial support by integrating evidence-based counseling strategies with Persuasive Systems Design. This paper presents a framework for mapping psychological approaches (Cognitive Behavioral Therapy, Motivational Interviewing, Minnesota Model, Contingency Management, and Family/Couples Therapies) with specific Persuasive Systems Design principles. This approach fills the gap between treatment and technology by showing how counseling strategies and persuasive software features can support addiction recovery together at different stages of recovery
Investigating Persuasive Software Features for Addiction Recovery
No full textAbstract
This research investigates how and to what extent Persuasive Systems Design (PSD) in Behavior Change Support Systems (BCSS) influences recovery from digital and alcohol addiction. Although digital health interventions have shown promising results in behavioral change, there is still a gap in understanding how specific persuasive software features affect addiction treatment outcomes. Therefore, this research aims to expand our understanding of effective design elements and software features for addiction recovery. Interactions of persuasive software features with well-being, self-efficacy, addiction behavior change and user engagement outputs will be assessed in three stages. Stage 1 will lay the foundation of the application design, then in Stage 2 the application will be designed and developed, and a pilot study will be conducted. Following Stage 1 and Stage 2, two experimental research are planned to test the developed BCSS's effectiveness in Stage 3. The findings of the research will provide clear views on how a BCSS can be better designed and applied to real-world settings specifically for addictions.Abstract
This research investigates how and to what extent Persuasive Systems Design (PSD) in Behavior Change Support Systems (BCSS) influences recovery from digital and alcohol addiction. Although digital health interventions have shown promising results in behavioral change, there is still a gap in understanding how specific persuasive software features affect addiction treatment outcomes. Therefore, this research aims to expand our understanding of effective design elements and software features for addiction recovery. Interactions of persuasive software features with well-being, self-efficacy, addiction behavior change and user engagement outputs will be assessed in three stages. Stage 1 will lay the foundation of the application design, then in Stage 2 the application will be designed and developed, and a pilot study will be conducted. Following Stage 1 and Stage 2, two experimental research are planned to test the developed BCSS's effectiveness in Stage 3. The findings of the research will provide clear views on how a BCSS can be better designed and applied to real-world settings specifically for addictions
Persuasive Software Features in a Health Behavior Change Support System for Microentrepreneurs: Perceived Persuasiveness, Effort and Effectiveness
No full textAbstract
This study explores perceptions of persuasive software features and their influence on perceived persuasiveness, effort, and effectiveness in a health behavior change support system (HBCSS) for microentrepreneurs. We examined a subset of 113 participants in randomized controlled trial study by using Partial Least Squares Structural Equation Modeling (PLS-SEM). We found that 69.7% of Computer-Human Dialogue Support features (R²=0.697) were explained largely by System Credibility and Primary Task Support features. Additionally, 59.5% of Perceived Effectiveness (R²=0.595) and 32.8% Perceived Effort (R²=0.328) variances were explained by Perceived Persuasiveness. Furthermore, our predictive model yielded a high out-of-sample predictive power. In conclusion, our findings provide practical guidance for designing HBCSS for microentrepreneurs by explaining the interaction between persuasive software features, perceived persuasiveness, effort and effectiveness.Abstract
This study explores perceptions of persuasive software features and their influence on perceived persuasiveness, effort, and effectiveness in a health behavior change support system (HBCSS) for microentrepreneurs. We examined a subset of 113 participants in randomized controlled trial study by using Partial Least Squares Structural Equation Modeling (PLS-SEM). We found that 69.7% of Computer-Human Dialogue Support features (R²=0.697) were explained largely by System Credibility and Primary Task Support features. Additionally, 59.5% of Perceived Effectiveness (R²=0.595) and 32.8% Perceived Effort (R²=0.328) variances were explained by Perceived Persuasiveness. Furthermore, our predictive model yielded a high out-of-sample predictive power. In conclusion, our findings provide practical guidance for designing HBCSS for microentrepreneurs by explaining the interaction between persuasive software features, perceived persuasiveness, effort and effectiveness
Recovering from Digital Addiction with the Support of a Persuasive Mobile Application: A Design Science Research Study
No full textAbstract
Digital addiction has emerged as a global concern, encompassing unhealthy patterns of technology use that disrupt daily functioning and well-being. We present a Design Science Research study to understand the requirements of the digital addiction domain. We use the Persuasive Systems Design as a design framework, examining features like self-monitoring, simulation, rehearsal, and social learning. The study explores persuasive design in the development of applications for learning healthier digital habits and addresses the gaps in the current solutions.Abstract
Digital addiction has emerged as a global concern, encompassing unhealthy patterns of technology use that disrupt daily functioning and well-being. We present a Design Science Research study to understand the requirements of the digital addiction domain. We use the Persuasive Systems Design as a design framework, examining features like self-monitoring, simulation, rehearsal, and social learning. The study explores persuasive design in the development of applications for learning healthier digital habits and addresses the gaps in the current solutions
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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