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AbstractAs a key support for people’s daily wayfinding, satellite navigation systems generate a considerable amount of by-product tracking data. Such human mobility data offer opportunities for quantitative studies of the link between human mobility and spatial information needs. Here, we propose a methodological framework for causal inference on observational individual-level spatiotemporal mobility data. We demonstrate how this framework enables to isolate and quantify the causal strength of environmental familiarity on reduced supporting navigation information needs. The results reported here show an approximately 9% average treatment effect of familiarity on reduced information needs. We explore the sensitivity of the results to variants of the realization of the causal model in the data analysis, as well as to the impact of environmental and trip-related confounders. This research introduces concepts of causal analysis on observational data to the spatial community, and mobility analytics community in particular. It is one of the first attempts to link causally spatial information needs during wayfinding across familiar and unfamiliar environments and thus advances the methodological toolkit for individual-level spatial causal inference. [ABSTRACT FROM AUTHOR]

Purpose: This scoping review article examined research on information behavior in communities over the past two decades (2000–2023). The review aims to uncover the characteristics and types of communities studied, the featured information behaviors, and the research methods employed. Design/methodology/approach: The PRISMA-ScR guidelines were followed to conduct this review. Five databases were selected to search for relevant empirical research. A total of 57 studies met the inclusion criteria for review. Thematic synthesis was used to analyze the multidimensional findings of included studies. Findings: A steady increase in the number of articles is evident in the past two decades. The review suggests that information behavior in community studies involved collaboration from other disciplines, such as public health and business management. More than half of the communities studied are virtual communities (56.1%), followed by communities of identity, professional communities and support communities, communities of interest, geographic communities, and academic communities. There are overlaps among these categories. Information sharing (63.2%) and information seeking (57.9%) were the most studied behavior of communities, followed by information use, information needs, and information judgment. Questionnaires (38.6%) and interviews (35.1%) were the most commonly used data collection techniques in studying information behavior in communities. It is noteworthy that eleven (19.3%) mentioned utilizing community-engaged approaches. Originality/value: This is the first scoping review to explore the intersecting constructs of community research and information behavior studies. We call for further research to understand the contextual factors that shape the community's information environments and to increase awareness of the partnership between communities and researchers. [ABSTRACT FROM AUTHOR]

The process of determining whether a source of information is relevant is multidimensional, dynamic, and subjective. This essay puts information science scholarship on relevance, including the process and nature of making relevance judgments, in conversation with models of teaching and learning information literacy. Teaching librarians are encouraged to recognize students' relevance judgments as sites of reflection and instruction. This essay suggests a variety of ways librarians might do this, from re-thinking source evaluation methods to emphasizing the opportunities available at the source selection stage. The process of determining relevance is a practical site of reflective possibility and deserves greater attention in information literacy teaching and learning. Discussing relevance judgments can help students better understand and evaluate sources, reflect on their own and others' perspectives and motivations, and create opportunities to discuss the impact of information systems. [ABSTRACT FROM AUTHOR]

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AbstractPatent information platforms have become crucial for innovators to stay informed about technological advancements. These platforms, distinguished by their function-oriented nature, differ significantly from traditional systems, highlighting the need for research on user behavior impact. This study proposes a research model to investigate how information, system, and interface quality influence continuous use intention, with perceived pleasure and needs satisfaction as mediators. A survey with 468 users was conducted, followed by regression and structural equation modeling for path and mediation analyses. The findings indicate that information and system quality have positive but distinct impacts on perceived pleasure and needs satisfaction, while interface quality affects only perceived pleasure. Needs satisfaction mediates the impact of information and system quality on continuous use intention, whereas perceived pleasure does not. This study introduces a function-oriented scenario into information systems research and identifies the unique impact paths of information and system quality. For these function-oriented platforms, the influence of interface quality on needs satisfaction or perceived pleasure on continuous use intention is insignificant, establishing a new context relevant to pragmatism and push–pull–mooring theories. Practical insights are provided for managers to improve system efficiency and enhance user loyalty. [ABSTRACT FROM AUTHOR]

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent childhood and adult behavioral disorder. Internet searches for ADHD information are rising, particularly for diagnosis and treatment. Despite effective ADHD treatments, research suggests that there are delays in seeking help for ADHD. Identifying ways to shorten delays is important for minimizing morbidity associated with ADHD. One way to shorten these delays is to improve internet health information resources. Research shows that parents of children with ADHD feel that much of the information available is technical and not tailored for their childs needs and verbal instructions given by health care providers were too pharmacologically focused with limited information about how to manage and support ADHD symptoms in daily living. A majority of parents search the internet for general and pharmacological information for ADHD and prefer web-based resources for learning about ADHD, but web-based resources may be inaccurate and of low quality. Ensuring accurate information through the internet is an important step in assisting parents and adults in making informed decisions about the diagnosis and treatment of ADHD. OBJECTIVE: Although a great deal of information regarding ADHD is available on the internet, some information is not based on scientific evidence or is difficult for stakeholders to understand. Determining gaps in access to accurate ADHD information and stakeholder interest in the type of information desired is important in improving patient engagement with the health care system, but minimal research addresses these needs. This study aims to determine the information needs and formatting needs of web-based content for adults with ADHD and parents of children with ADHD in order to improve user experience and engagement. METHODS: This was a 3-phase study consisting of in-depth phone interviews about experiences with ADHD and barriers searching for ADHD-related information, focus groups where participants were instructed to consider the pathways by which they made decisions using web-based resources, and observing participants interacting with a newly developed website tailored for adults with potential ADHD and caregivers of children who had or might have ADHD. Phase 1 individual interviews and phase 2 focus groups identified the needs of the ADHD stakeholders related to website content and format. Interview and focus group findings were used to develop a website. Phase 3 used think-aloud interviews to evaluate website usability to inform the tailoring of the website based on user feedback. RESULTS: Interviews and focus group findings revealed preferences for ADHD website information and content, website layout, and information sources. Themes included a preference for destigmatizing information about ADHD, information specific to patient demographics, and evidence-based information tailored to lay audiences. CONCLUSIONS: ADHD stakeholders are specifically seeking positive information about ADHD presented in a user-friendly format.

The process of determining whether a source of information is relevant is multidimensional, dynamic, and subjective. This essay puts information science scholarship on relevance, including the process and nature of making relevance judgments, in conversation with models of teaching and learning information literacy. Teaching librarians are encouraged to recognize students’ relevance judgments as sites of reflection and instruction. This essay suggests a variety of ways librarians might do this, from re-thinking source evaluation methods to emphasizing the opportunities available at the source selection stage. The process of determining relevance is a practical site of reflective possibility and deserves greater attention in information literacy teaching and learning. Discussing relevance judgments can help students better understand and evaluate sources, reflect on their own and others’ perspectives and motivations, and create opportunities to discuss the impact of information systems.

Purpose: This study explored the influence of Dervin's sensemaking methodology (SMM). Design/methodology/approach: Citation context analysis was used to identify the most influential SMM concepts in 948 articles citing 34 SMM-related studies by Dervin that were published between 1983 and 2017. Moreover, the bibliometric method and content analysis were incorporated to examine the disciplines and research topics influenced by the SMM-related studies and the role of cited content in SMM-related studies. Findings: The influence of SMM is concentrated in information behavior research in the field of library and information science (LIS). The 1992 book chapter From the mind's eye of the user was most frequently cited, followed by the first SMM study from 1983; 14 of the 18 content categories were relevant to SMM. "Sensemaking," at the core of SMM, was the most influential cited concept, primarily cited from the 1983 SMM-related study. Although the SMM was developed as a research method, it has not been primarily applied to design research methods in other studies. Originality/value: This study explored the interdisciplinary influence of Dervin's SMM from several aspects and demonstrated the complex information dynamics between SMM-related works and citing articles. [ABSTRACT FROM AUTHOR]

Our brain receives only the information that is interested in and able to see and hear. On the other hand, only a portion of the input information is incorporated into our knowledge structure. Behavior is the result of learning, meaning that learning causes a change in behavior. Information behavior refers to the activities that a person engages in to fulfill their information needs. This essay aims to provide an overview of the information circulation process in the human mind based on the theory of information processing. This will be achieved through a review of scientific texts and research conducted in this field. The current research utilized the review method based on theory of information processing. It involved categorizing, integrating, and evaluating previously published texts on this topic. Given the complexity of the information processing process, the study aimed to assess information behavior through the lens of information selectivity. A total of 28 Persian sources and 65 Latin sources (5 of which were translated) were utilized from the available information sources. These sources were ultimately divided into three main groups: 37 sources in the field of psychology and cognitive sciences, 42 sources in the field of information science and epistemology (information behavior), and 14 sources in other related fields. Findings of the research revealed a reduction process at all stages of information processing; i.e.: 1. data entry through the senses, 2. information selection and processing, 3. memory and information storage, and 4. information learning and behavior. Additionally, the investigations demonstrated the potential for conducting basic and applied research in order to enhance information storage and retrieval systems. Across the majority of the reviewed texts and research, the selective impact of information and its consequences on human behavior, particularly information behavior were evident. The research results indicate that focusing on the selective approach to information in users’ information behavior process is crucial for understanding user behavior and designing effective information retrieval systems. The successful operation of information systems in information retrieval, leading to improved relevance, should be guided by users’ information behavior and the factors influencing it. This should also serve as a means to enhance the positive aspects of their information behavior. Therefore, all behavioral aspects and influencing factors need to be identified and examined. A key consideration in information system design is creating diagrams that accommodate users’ limitations to enhance learning. One challenge with databases is presenting materials in a way that enhances production without overwhelming the user’s information processing system. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI), which is defined for this literature review as any computer entity with human-like language that provides information services, will impact both the user experience and workflow within libraries. The primary research questions for this literature review seek to determine whether AI invokes positive or negative emotions in amateur information seekers and how these emotions might influence AI's ability to serve as a technology information intermediary in libraries. To discern what emotions might arise for this population around AI in library contexts, an understanding of how information seekers feel about AI in general is first determined. Then, emotions around AI are examined in various information contexts. Consideration is then given to how perceptions of AI may differ based on AI's ability to display social emotional reciprocity. The findings suggest that the public currently has complex feelings about AI as an information intermediary that could hinder its effectiveness in libraries and other information spaces. This literature review was limited by its population focus as it did not cover the views of professionals or academics. Future studies should focus on whether the public would be interested in or open to the use of AI in certain library contexts. [ABSTRACT FROM AUTHOR]

This paper aims to diagnose the information culture of the university administration. Although university administrative work is commonly associated with bureaucracy, it is a bureaucracy of people in which employees demonstrate a set of competitive group information behavior focused on knowledge sharing and information use in day-to-day tasks. A group of 345 respondents, representing office staff from three institutions in Poland, answered the survey related to information culture. The research framework included 16 information behaviors, grouped by four levels of information and knowledge management and four types of information culture. The results were examined using statistical packages to perform the Kruskal-Wallis H test, Spearman's rank correlation coefficient, and ordinal/linear regression analysis. Professional Bureaucracy culture is the dominant characteristic of the information behavior of university administrations, but its functioning is supported by three parallel information cultures included in the research model. The main limitation of the study is that it covers only lower-level employees' information practices. The applied scale, based on professional stratification within the university administration, is highly sensitive regarding different institutional contexts covered in the information culture diagnosis. To support the development of Professional Bureaucracy, it is necessary to support internal openness of behavior (socialization), internalization of knowledge, and external networking. [ABSTRACT FROM AUTHOR]

This research investigated the development of information literacy skills and their self-perceived assessment among journalists in Pakistan. A cross-sectional survey using an online questionnaire was conducted in four Provinces and the Federal Capital of Pakistan with the consent of relevant authorities for data collection. A total of 1089 responses were received. The data were analyzed in SPSS by applying descriptive as well as inferential statistics. A large majority of the surveyed respondents received information literacy instruction of short duration during their careers while being mainly in practice. The most covered topics included research literacy, communication skills, information discovery, critical literacy, tools literacy, and information handling. These participants perceived information literacy as invaluable in their practical work context. The survey participants perceived themselves as information literate not only for basic levels of information literacy but also for advanced levels. In addition, journalists' gender, age, academic qualification, job experience, information literacy instructions received, nature of work, and region predicted their levels of information literacy. The results generated pragmatic insight for educators and information professionals in designing a need-based information literacy instruction program for existing as well as prospective journalists. This research would make a worthy contribution to the existing information literacy research in the context of the workplace as no such comprehensive study on journalists' workplace had appeared so far. [ABSTRACT FROM AUTHOR]

[Purpose/Significance] It is of great significance to analyze the current situation of elderly people's online health information seeking behavior, grasp its hot topics and development trend, to meet the health information needs and improve the health literacy level of the elderly people, and to promote the high-quality development of health services for the elderly people. [Method/Process] In this study, the DTM model was used to perform dynamic topic mining and analysis of Sina Weibo post content from 2016 to 2023, and the topic evolution, topic semantic evolution and topic information entropy trend were each investigated. In this study, data information related to online health searches of the elderly was obtained from the Sina Weibo platform, and the text content and time in the data information were taken as corpus data. After cleaning the data, different time windows are divided in time order, a DTM model is constructed to identify research topics, and "subject-word matrix" and "document-topic matrix" files are obtained. The topic intensity calculation was carried out successively, and the hot topic identification and analysis of online health searches for the elderly was carried out. The evolutionary trend of topic intensity was visualized and the evolutionary path of topic keywords was analyzed at a fine-grained level, so as to explore the focus and changing trend of online health information searches for the elderly people. [Results/Conclusions] The topics of "senile diseases", "old-age care by science and technology", "diet and health care", "mental health" and "social care" have evolved significantly, and the elderly people pay much attention to health information types such as common old age diseases, physical medical maintenance, social assistance and care for the elderly, and clothing, food, housing and transportation, in order to meet their information needs. The topics of "senile diseases", "old-age care by science and technology", "diet and health care", "mental health" and "social care" have evolved significantly, and the elderly pay much attention to health information types such as common old age diseases, physical medical maintenance, social assistance and care for the elderly, and clothing, food, housing and transportation, in order to meet their information needs. The research popularity of "economic trap", "epidemic control", "medical fraud", "virus transmission", "epidemic travel" and "medical health" as a whole showed a trend of first increasing and then decreasing, and the elderly continued to pay gradual attention to health emergencies and economic property security issues that might arise. The research popularity of "sports health care", "high risk" and "cultural and sports tourism" remain moderately stable from 2016 to 2023 and has not changed significantly. Topics such as "senile disease", "sports health", "high risk" and "medical fraud" are semantically stable. The information entropy of "sports health care", "daily life safety" and "virus transmission" is relatively stable, the information entropy of "medical literacy", "epidemic control", "cultural and sports tourism" and "balanced diet" shows a diffusion trend, and the information entropy of "high risk", "diet and health care", "economic trap" and "medical fraud" shows a convergence trend. [ABSTRACT FROM AUTHOR]

[Purpose/Significance] In the context of the digital age, knowledge collaboration platforms such as online Q&A communities, academic forums, and various professional networking platforms have become important venues for knowledge sharing and collective wisdom. These platforms bring together users from different fields, with diverse professional backgrounds and levels of expertise. They actively engage in problem solving, exchange views, and form complex and dynamic social networks. Online knowledge collaboration platforms not only enhance the accessibility of knowledge but also serve as incubators for interdisciplinary communication, problem solving, and innovative thinking by harnessing the collective wisdom and expertise of individuals. This article explores how to optimize the network structure of online knowledge collaboration platforms and balance the internal knowledge and expertise within teams. The goal is to promote cross-domain information flow, prevent the formation of information silos, and promote the creation, dissemination, and application of knowledge through collective knowledge collaboration. [Methods/Process] Due to the diversity of participants' backgrounds, experiences, and viewpoints, effectively managing and coordinating this heterogeneity becomes a critical issue. Additionally, the quality and efficiency of knowledge collaboration is also influenced by the characteristics of the network structure, such as the flow of information paths, the role of key nodes, and the interaction patterns of small groups. This study is based on actual data from Stack Overflow, the world's largest programming Q&A website. It focuses specifically on the following aspects of influence: clustering coefficient, node centrality, edge span, user knowledge heterogeneity, and user experience heterogeneity. By constructing a negative binomial regression model, the study investigates how network structure characteristics and team user heterogeneity affect the quality and efficiency of knowledge collaboration. [Results/Conclusions] The results show that, with respect to network structural characteristics, node centrality significantly improves the quality and efficiency of collaboration, and higher aggregation coefficients and larger span of connecting edges restrict information flow and are detrimental to the efficiency of knowledge collaboration. In terms of user heterogeneity, high heterogeneity in knowledge background and registration duration usually hinders collaboration, heterogeneity in experience heterogeneity in registration duration negatively affects collaboration effectiveness in both cases, heterogeneity in response acceptance rate only negatively affects collaboration quality, while heterogeneity in activity intensity positively affects it. In addition, this study still has shortcomings that deserve further exploration. First, future research could consider expanding the sample to include more questions on different topics and domains to increase the reliability and generalizability of the findings. Second, future research could focus on the dynamic changes of network structure and heterogeneity in order to better understand the impact of network structure on knowledge collaboration and to improve the prediction ability of collaboration effects; it could explore more deeply how different types of heterogeneity affect collaboration dynamics over time.

[Purpose/Significance] The advent and emergence of social robots represent a closer development trend in human-computer interaction. However, the study of the information behavior of social robots faces many challenges that arise from the need to simulate human social behavior. This challenge includes technical hurdles such as a multi-level understanding of human emotions, extraction of multi-modal information features, situational awareness, as well as the establishment of long-term user profiling, data privacy, and ethical considerations in personalized interaction. However, existing research tends to focus narrowly on specific applications and lacks a holistic review. This paper attempts to provide a thorough review of both domestic and international studies of social robots in the area of information behavior. It aims to elucidate the theoretical evolution and technological foundations of social robots, thereby enriching our understanding of their role in the landscape of information behavior research. [Method/Process] Using a rigorous literature review methodology, we meticulously analyze the current state and prospective trajectory of research on the information behavior of social robots. First, we extract and scrutinize the theoretical foundations and salient research topics within the field. We then delineate the core tasks of social robots, which include data acquisition, language processing, emotion analysis, information retrieval, and intelligent communication. Furthermore, we synthesize research on the information behavior of social robots in various application domains such as education, healthcare, and service sectors. We delve into the intricacies of human-computer interaction in these contexts and provide comprehensive insights. Finally, we explore future directions in the field. [Results/Conclusions] Our examination of the information behavior of social robots reveals both promising potential and notable challenges. This paper provides a fundamental elucidation of the social robot concept, identifies current research foci, and addresses prevailing challenges. Regarding the construction of data resource and related technologies, we systematically delineate the task architecture of social robots, and highlight their wide-ranging applications in various domains. Furthermore, we provide an in-depth examination of human-computer interaction scenarios in critical domains such as education, healthcare, and service delivery, offering prescient guidance for future research efforts in social robotics. Nonetheless, our findings underscore the nascent stage of development of social robotics, which requires a concerted focus on advancing interaction quality assessment, enhancing social cognitive capabilities, managing user information disclosure, and refining emotional intelligence. By prioritizing these avenues, we aim to improve the quality of human-robot interaction and provide users with enriched and personalized service experiences, thereby catalyzing the continued evolution and broader integration of social robotics technology.

[Purpose/Significance] This study aims to critically analyze the social philosophical roots of the digital intelligence divide from the perspective of machine functionalism. By uncovering the theoretical origins and generation pathways of the digital intelligence divide, countermeasures can be proposed. The research contributes to understanding the divide's impact on society and provides insights for promoting inclusive development of artificial intelligence (AI) technology. The study fills a gap in the literature by linking machine functionalism to the digital intelligence divide and offers a novel perspective on addressing the unequal use of AI technology. The findings have significant implications for policymakers, technology developers, and researchers in the fields of AI ethics, digital inequality, and social philosophy. [Method/Process] Using the theoretical lens of machine functionalism, this study examines the evolutionary pathways, generation mechanisms, and multiple risks of the digital intelligence divide. It draws on relevant theories, such as the extended mind thesis and the theory of technological determinism, to analyze how machine functionalism influences the design and application of AI technology. The study also draws on empirical evidence from case studies and surveys to illustrate the manifestation of the digital intelligence divide in different contexts. By synthesizing theoretical and empirical insights, the research proposes interventions that address the divide at different levels, from the philosophical underpinnings to the practical implementation of AI technology. [Results/Conclusions] The study shows that machine functionalism, which applies Turing machine principles to explain the mind and views the mind as a physically realized Turing machine. It has become the social philosophical foundation of AI technology. While breaking with the traditional biological essentialist view of the mind, machine functionalism inadvertently creates inequitable uses of AI through three main pathways: the mechanization of the mind, designer bias and algorithmic preference, and technological specialization and barriers to entry. This creates the digital intelligence divide and risks such as the evolution of information access inequality into social inequality and the weakening of information cocoons and public dialogue. The study argues that interventions are needed to mitigate these risks and promote a more equitable distribution of the benefits of AI technology. To bridge the digital intelligence divide, the study suggests a multi-pronged approach. First, future efforts should focus on promoting positive interaction between machines and humans through value-sensitive design, which incorporates ethical considerations into the development and deployment of AI systems. Second, developing ethical algorithms that eliminate designer bias and algorithmic preference is critical to ensuring fair and unbiased AI decision-making. Third, improving the digital intelligence skills of individuals and communities can help break down barriers to entry caused by technological specialization and enable more people to benefit from AI technology. Together, these policies can help break down the barriers of unequal technology use under machine functionalism. The study concludes by emphasizing the importance of a collaborative effort among policymakers, technology developers, researchers, and the public in addressing the digital intelligence divide. It calls for further research on the social implications of machine functionalism and the development of inclusive AI governance frameworks. The findings of this study serve as a foundation for future work to mitigate the risks of the digital intelligence divide and promote the responsible and equitable development of AI technology.

Background and Aim: The term “information behavior,” with an emphasis on health and hygiene, refers to purposeful actions taken to satisfy informational needs related to health. The objective of the current research is to develop and validate a questionnaire on information behavior, with a focus on health and hygiene information. Materials and Methods: This study was a quantitative research conducted with a tool design approach. Initially, a questionnaire for measuring this behavior was prepared using instrument design methods. The basis for extracting the factors of the present questionnaire has been argumentation and logical repetition. In other words, the researcher, in line with the background of these factors and their repetition in the sources, used them as influential factors in the questionnaire construction. After confirming the content and structural validity, the modified questionnaire was distributed among 238 patients with multiple sclerosis. The sample selection. was done using the available sampling method. Then, the data were analyzed using exploratory and confirmatory factor analysis. The internal consistency of the data was calculated using Cronbach’s alpha. The collected data were analyzed using descriptive and inferential statistical methods with the help of SPSS and AMOS software. Results: The content validity of the questionnaire was evaluated with the opinion of 20 experts in information behavior. The reliability of the health information behavior questionnaire was adequate and satisfactory with the overall Cronbach’s alpha coefficient of 0.78 and the Cronbach’s alpha coefficient of the components between 0.71 and 0.94. In order to factor analysis, the sampling adequacy index and the value of Bartlett’s Crowley test were calculated, and all 29 items were statistically significant; which confirms the factorization of the correlation matrix. In the exploratory factor analysis, five factors (avoidance of information), the second factor (need for information), the third factor (exposure to information), the fourth factor (seeking information), and the fifth factor (use of information) were obtained. The indicators of confirmatory factor analysis showed the validity of the proposed structure. The results of the structural equation model test showed that the fit indices were favorable and also indicated the fit of the presented model in the MS patient population. Conclusion: The obtained results demonstrated that health information behavior in this questionnaire encompasses five factors: information needs, information-seeking behavior, information avoidance, information use, and information confrontation, which were confirmed. The designed scale for assessing health information behavior in the Iranian community has been evaluated and is recommended for use in measuring health information behavior effectively.

[Purpose/Significance] Health is the foundation of survival, and the health of all people is the foundation of a country. However, the aging situation in China's rural areas is serious, and the health information literacy (HIL) of the middle-aged and elderly population is low. Improving the HIL of middle-aged and elderly people in rural areas is of great significance to personal health and the "Healthy China" strategy. In terms of research perspective and content, previous studies either used quantitative methods to measure the health level of rural middle-aged and elderly people, or used qualitative methods to analyze a certain aspect of HIL, but the reasons for the low level of HIL among rural elderly people are not explored from a qualitative perspective. Based on this, the author analyzes the reasons for the low level of HIL of the rural middle-aged and elderly from the perspective of qualitative research and proposes corresponding countermeasures. [Method/Process] Semi-structured interview method and ground theory were used to explore the reasons for low HIL among rural middle-aged and elderly people from five aspects: health information awareness, health information access, health information evaluation, health information utilization and health information service. A theoretical model of the causes of low HIL among rural middle-aged and elderly people was constructed. [Results/Conclusions] It is found that the reasons for the low HIL of the rural middle-aged and elderly people include personal cognitive limitations, objective condition limitations, and service delivery problems. Specifically, the reasons are rejection of digitalization, cognitive misunderstanding, physical condition limitation, digital equipment limitation, low quality of related services, and the lack of related services. Accordingly, from the level of personal cognition, it is proposed that multiple measures should be taken to promote health-related publicity and education to improve the awareness of HIL. For example, offline and online HIL education should be improved and the characteristics of rural social acquaintance should be used to improve publicity and HIL education. From the perspective of objective conditions, it is suggested that the material basis of life should be improved to raise the level of HIL. From the perspective of health information services, health care institutions, village committees, libraries and family members should be involved in the health information service system for the rural middle-aged and elderly people, and the quality of health information services should be improved. The interaction between the various causes can be further explored in the future.

This study explores the impact of mobile notifications on the information behavior and interaction attitudes of higher education students in Egypt and Germany. Using an ethnographic approach, the research investigates how mobile notifications serve as a crucial medium for information delivery, transforming user interaction with information. The study identifies significant challenges posed by the influx of notifications, such as information overload, distraction, and stress. It also examines the skills and strategies students employ to manage and prioritize notifications, emphasizing the need for improved mobile information literacy (MoIL). Interviews and observations reveal varied user engagement with notifications, highlighting the dual role of notifications as both end-point information containers and triggers for deeper information-seeking behavior. The findings suggest that while notifications enhance efficiency and immediacy in accessing information, they also necessitate new coping mechanisms to mitigate negative impacts. This research contributes to the field of information behavior by offering insights into the effective use of mobile notifications and proposing better notification system designs to foster enhanced information literacy in an increasingly connected world. [ABSTRACT FROM AUTHOR]

This article reports on the third phase of a project studying the integration of information behavior theories and concepts into professional education for reference and information service (RIS). It also provides a synthesis of the results of all studies in the project, including a syllabus study, an interview study, and the survey. Results of the project show that Kuhlthau's information search process model, along with several other key theories, models, and concepts, is perceived by instructors of introductory RIS courses in North America as important for RIS practice. Instructors feel that students are generally receptive to conceptual content in the course, although most teach a more practice-focused course or a course with a balance of conceptual and practical content. Still, 10-31% of introductory RIS courses do not include any information behavior content, suggesting that the relevance of theory to practice remains an ongoing debate. [ABSTRACT FROM AUTHOR]

Food-related issues have recently become one of the most salient and controversial issues and have received increasing media and scholarly attention. This study examines the distinct effects of trust and distrust on the public's information behaviors, specifically in the context of two food-related issues including GM food and food additives. This study employs a cross-sectional survey with 1,089 Chinese citizens. This study demonstrates that trust and motivation positively predicted information transmission behaviors (i.e., information sharing and forwarding) and information acquisition behaviors (i.e., information attending and seeking). Distrust, on the other hand, predicted only information transmission behaviors. Motivation's effects on information acquisition behaviors were moderated by trust. This study contributes to the field of health information by expanding STOPS' applicability to food-related risk contexts, conducting research with culturally distinct populations different from those featured in prior research, and distinguishing the roles of trust and distrust in influencing information behaviors. [ABSTRACT FROM AUTHOR]

In financial markets, according to the mechanism of information exchange between sender and receiver (user of information), the knowledge and awareness of the receiver are always limited to the amount of information sent by the sender. Therefore, in this research, an attempt has been made to design the model of information entropy in the financial reporting of companies by the method of grounded theory. This research is qualitative and exploratory. This research was carried out by interviewing experts in the field of theoretical foundations of behavioral and psychological financial theories and the field of the capital market, and it reached saturation by conducting 14 interviews in 2021 using the snowball sampling method. The findings of this research showed that for the model of financial reporting with the role of information behavior, strategies such as establishing a financial reporting committee with the role of information behavior and training the category of financial reporting with the role of information behavior are adopted. Finally, the coherent model showed that financial reporting with the role of information behavior leads to consequences such as increasing social trust and confidence, growth and development of the company, and increasing the quality of financial information. [ABSTRACT FROM AUTHOR]

Digital library services are frequently designed for specific user groups with very specific usage needs. This article presents a qualitative comparative analysis of findings derived from six user and usability studies in four different specialized subject information services. Rather than postulating hypotheses regarding variations in needs and behaviors among user groups, this article explores similarities among researchers' requirements for specialized information service portals. The findings suggest that distinct subject areas may no longer require separate information systems tailored to each field's specific needs. With the rise of interdisciplinary research, researchers increasingly favor the adoption of a unified system or multiple systems with consistent operation. [ABSTRACT FROM AUTHOR]