1,720,964 research outputs found
Behavior Change Support Systems Research in the Era of Emerging Technologies
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Behavior Change Support Systems (BCSS) have proven effective in encouraging and assisting individuals to change their behaviors and attitudes. As a research discipline, BCSS has been applied in various domains, from health and well-being to marketing, leveraging various technologies. This paper highlights how BCSS has been applied in research and discusses the technologies used for behavior change, presenting opportunities and raising concerns about the challenges they may pose. The paper also discusses this edition's latest contributions to the BCSS discourse.Abstract
Behavior Change Support Systems (BCSS) have proven effective in encouraging and assisting individuals to change their behaviors and attitudes. As a research discipline, BCSS has been applied in various domains, from health and well-being to marketing, leveraging various technologies. This paper highlights how BCSS has been applied in research and discusses the technologies used for behavior change, presenting opportunities and raising concerns about the challenges they may pose. The paper also discusses this edition's latest contributions to the BCSS discourse
Cost to develop persuasion in health behavior change support systems: A weight management app scenario
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Health Behavior Change Support Systems (HBCSS) have garnered popularity due to their intentional design to influence lifestyles and foster lasting behavioral changes. The Persuasive Systems Design (PSD) model highlights the capacity of persuasive software features to enhance the systems’ ability to influence people’s behavior, which holds significant promise, for instance, in reducing the prevalence of non-communicable diseases. In the medical field, HBCSS have been recognized as efficient, cost-effective, and scalable with minimal costs compared to traditional face-to-face interventions for preventing such diseases. However, every new technology comes with significant development and maintenance costs, which can either facilitate or hinder its wider adoption. The development cost may even be neglected altogether. Even if the cost was addressed somehow, evaluation methods often focus on the overall cost rather than carefully addressing the development cost of specific software functionalities and features. It is critical to make well-informed design choices rather than develop all the features that come into the designers’ minds. This study conducted semi-structured expert interviews and applied the Weight Sum Model (WSM) to investigate the perceived cost implications for developing persuasive features in a weight management app. The results highlight that social and primary support features may require more financial resources to be developed than dialogue and credibility support features. Personalization and tailoring were perceived as the most expensive features due to their complex development nature. Furthermore, the results provide insights for developing HBCSS and cost-saving strategies that are important for healthcare providers, policymakers, and stakeholders in making informed decisions.Abstract
Health Behavior Change Support Systems (HBCSS) have garnered popularity due to their intentional design to influence lifestyles and foster lasting behavioral changes. The Persuasive Systems Design (PSD) model highlights the capacity of persuasive software features to enhance the systems’ ability to influence people’s behavior, which holds significant promise, for instance, in reducing the prevalence of non-communicable diseases. In the medical field, HBCSS have been recognized as efficient, cost-effective, and scalable with minimal costs compared to traditional face-to-face interventions for preventing such diseases. However, every new technology comes with significant development and maintenance costs, which can either facilitate or hinder its wider adoption. The development cost may even be neglected altogether. Even if the cost was addressed somehow, evaluation methods often focus on the overall cost rather than carefully addressing the development cost of specific software functionalities and features. It is critical to make well-informed design choices rather than develop all the features that come into the designers’ minds. This study conducted semi-structured expert interviews and applied the Weight Sum Model (WSM) to investigate the perceived cost implications for developing persuasive features in a weight management app. The results highlight that social and primary support features may require more financial resources to be developed than dialogue and credibility support features. Personalization and tailoring were perceived as the most expensive features due to their complex development nature. Furthermore, the results provide insights for developing HBCSS and cost-saving strategies that are important for healthcare providers, policymakers, and stakeholders in making informed decisions
Investigating the Effects of Implicit and Explicit Personalization on Perceived Credibility
Full text linkPersonalizing computer systems (such as Academic Social Networking Sites) can improve positive user perceptions, particularly credibility perceptions of that system. Earlier research has identified two broad personalization approaches: Implicit and Explicit personalization. Moreover, applying the wrong personalization approach may negatively affect users' perceptions of the system's credibility. Yet, the evidence that earlier research provides for the relevance and importance of the different personalization approaches on perceived credibility in system design is limited. This study explores which of the two personalization approaches is most important and could be prioritized when designing systems to improve credibility perceptions. Academic Social Networking Sites (ASNSs) users' perceptions of implicit and explicit personalization and system credibility are gathered via survey and analyzed using Partial Least Square Structural Equation Modeling. We find that whereas Implicit personalization has a positive influence, Explicit personalization negatively influences users' credibility perceptions. Furthermore, the Importance Performance Map Analysis (IPMA) reveals implicit personalization as the better-performing and more important approach for promoting credibility perceptions on ASNSs. Based on the results, this study recommends further investigations into how personalizing the personalization approaches for different users may affect their credibility perceptions.</p
Investigating the Effects of Implicit and Explicit Personalization on Perceived Credibility
No full textPersonalizing computer systems (such as Academic Social Networking Sites) can improve positive user perceptions, particularly credibility perceptions of that system. Earlier research has identified two broad personalization approaches: Implicit and Explicit personalization. Moreover, applying the wrong personalization approach may negatively affect users' perceptions of the system's credibility. Yet, the evidence that earlier research provides for the relevance and importance of the different personalization approaches on perceived credibility in system design is limited. This study explores which of the two personalization approaches is most important and could be prioritized when designing systems to improve credibility perceptions. Academic Social Networking Sites (ASNSs) users' perceptions of implicit and explicit personalization and system credibility are gathered via survey and analyzed using Partial Least Square Structural Equation Modeling. We find that whereas Implicit personalization has a positive influence, Explicit personalization negatively influences users' credibility perceptions. Furthermore, the Importance Performance Map Analysis (IPMA) reveals implicit personalization as the better-performing and more important approach for promoting credibility perceptions on ASNSs. Based on the results, this study recommends further investigations into how personalizing the personalization approaches for different users may affect their credibility perceptions.</p
12 years of research into behavior change support systems
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Behavior Change Support Systems (BCSS) have shown promising results in motivating and supporting individuals to change their behaviors and attitudes toward improved health or other areas or adopt new ones. This paper discusses research contributions related to the design and development of BCSS presented in the workshop under the same name in conjunction with the annual series of the International Conference on Persuasive Technology. The contributions of both previous research and the latest edition of the workshop are discussed in this paper.Abstract
Behavior Change Support Systems (BCSS) have shown promising results in motivating and supporting individuals to change their behaviors and attitudes toward improved health or other areas or adopt new ones. This paper discusses research contributions related to the design and development of BCSS presented in the workshop under the same name in conjunction with the annual series of the International Conference on Persuasive Technology. The contributions of both previous research and the latest edition of the workshop are discussed in this paper
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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