Database Search Behaviors: Insight from a Survey of Information Retrieval Practices

This study examines the database search behaviors of individuals, focusing on gender differences and the impact of planning habits on information retrieval. Data were collected from a survey of 198 respondents, categorized by their discipline, schooling background, internet usage, and information retrieval preferences. Key findings indicate that females are more likely to plan their searches in advance and prefer structured methods of information retrieval, such as using library portals and leading university websites. Males, however, tend to use web search engines and self-archiving methods more frequently. This analysis provides valuable insights for educational institutions and libraries to optimize their resources and services based on user behavior patterns.

A mixed stochastic user equilibrium model considering influence of advanced traveller information systems in degradable transport network

Advanced traveler information systems （ATIS） can not only improve drivers＇ accessibility to the more accurate route travel time information, but also can improve drivers＇ adaptability to the stochastic network capacity degradations. In this paper, a mixed stochastic user equilibrium model was proposed to describe the interactive route choice behaviors between ATIS equipped and unequipped drivers on a degradable transport network. In the proposed model the information accessibility of equipped drivers was reflected by lower degree of uncertainty in their stochastic equilibrium flow distributions, and their behavioral adaptability was captured by multiple equilibrium behaviors over the stochastic network state set. The mixed equilibrium model was formulated as a fixed point problem defined in the mixed route flows, and its solution was achieved by executing an iterative algorithm. Numerical experiments were provided to verify the properties of the mixed network equilibrium model and the efficiency of the iterative algorithm.

Introduction to information seeking behavior—A review of literature and field practice directions

The article tries to discover the major authors in the field of information seeking behavior via social network analysis. It is to be accomplished through a literature review and also by focusing on a graphic map showing the seven most productive coauthors in this field. Based on these seven authors' work, five probable research directions about information seeking behavior are discerned and presented.

AMachine Learning Approach to User Profiling for Data Annotation of Online Behavior

The user’s intent to seek online information has been an active area of research in user profiling.User profiling considers user characteristics,behaviors,activities,and preferences to sketch user intentions,interests,and motivations.Determining user characteristics can help capture implicit and explicit preferences and intentions for effective user-centric and customized content presentation.The user’s complete online experience in seeking information is a blend of activities such as searching,verifying,and sharing it on social platforms.However,a combination of multiple behaviors in profiling users has yet to be considered.This research takes a novel approach and explores user intent types based on multidimensional online behavior in information acquisition.This research explores information search,verification,and dissemination behavior and identifies diverse types of users based on their online engagement using machine learning.The research proposes a generic user profile template that explains the user characteristics based on the internet experience and uses it as ground truth for data annotation.User feedback is based on online behavior and practices collected by using a survey method.The participants include both males and females from different occupation sectors and different ages.The data collected is subject to feature engineering,and the significant features are presented to unsupervised machine learning methods to identify user intent classes or profiles and their characteristics.Different techniques are evaluated,and the K-Mean clustering method successfully generates five user groups observing different user characteristics with an average silhouette of 0.36 and a distortion score of 1136.Feature average is computed to identify user intent type characteristics.The user intent classes are then further generalized to create a user intent template with an Inter-Rater Reliability of 75%.This research successfully extracts different user types based on their preferences in online content,platforms,criteria,and frequency.The study also validates the proposed template on user feedback data through Inter-Rater Agreement process using an external human rater.

Subtle role of latency for information diffusion in online social networks

Information diffusion in online social networks is induced by the event of forwarding information for users, and latency exists widely in user spreading behaviors. Little work has been done to reveal the effect of latency on the diffusion process. In this paper, we propose a propagation model in which nodes may suspend their spreading actions for a waiting period of stochastic length. These latent nodes may recover their activity again. Meanwhile, the mechanism of forwarding information is also introduced into the diffusion model. Mean-field analysis and numerical simulations indicate that our model has three nontrivial results. First, the spreading threshold does not correlate with latency in neither homogeneous nor heterogeneous networks, but depends on the spreading and refractory parameter. Furthermore, latency affects the diffusion process and changes the infection scale. A large or small latency parameter leads to a larger final diffusion extent, but the intrinsic dynamics is different. Large latency implies forwarding information rapidly, while small latency prevents nodes from dropping out of interactions. In addition, the betweenness is a better descriptor to identify influential nodes in the model with latency, compared with the coreness and degree. These results are helpful in understanding some collective phenomena of the diffusion process and taking measures to restrain a rumor in social networks.

Information seeking and anxiety among colonoscopy-na?ve adults: direct-to-colonoscopy vs traditional consult-first pathways

AIM To investigate the effects of direct to colonoscopy pathways on information seeking behaviors and anxiety among colonoscopy-na?ve patients.METHODS Colonoscopy-na?ve patients at two tertiary care hospitals completed a survey immediately prior to their scheduled outpatient procedure and before receiving sedation.Survey items included clinical pathway(direct or consult),procedure indication(cancer screening or symptom investigation),telephone and written contact from the physician endoscopist office,information sources,and pre-procedure anxiety.Participants reported pre-procedure anxiety using a 10 point scale anchored by "very relaxed"(1) and "very nervous"(10).At least three months following the procedure,patient medical records were reviewed to determine sedative dose,procedure indications and any adverse events.The primary comparison was between the direct and consult pathways.Given the very different implications,a secondary analysis considering the patient-reported indication for the procedure(symptoms or screening).Effects of pathway(direct vs consult) were compared both within and between the screening and symptom subgroups.RESULTS Of 409 patients who completed the survey,34% followed a direct pathway.Indications for colonoscopy were similar in each group.The majority of the participants were women(58%),married(61%),and internet users(81%).The most important information source was family physicians(Direct) and specialist physicians(Consult).Use of other information sources,including the internet(20% vs 18%) and Direct family and friends(64% vs 53%),was similar in the Direct and Consult groups,respectively.Only 31% of the 81% who were internet users accessed internet health information.Most sought fundamental information such as what a colonoscopy is or why it is done.Pre-procedure anxiety did not differ between care pathways.Those undergoing colonoscopy for symptoms reported greater anxiety [mean 5.3,95%CI: 5.0-5.7(10 point Likert scale)] than those for screening colonoscopy(4.3,95%CI: 3.9-4.7).CONCLUSION Procedure indication(cancer screening or symptom investigation) was more closely associated with information seeking behaviors and pre-procedure anxiety than care pathway.

Impact of Online Community Structure on Information Propagation:Empirical Analysis and Modeling

Online social networking sites ( OSNS) ,as a popular social media platform,have been developed massively for business and research purposes. In this paper,it investigated the impact of community structure in online social network on information propagation. A SI (Susceptible-Infected) model based on community structure was proposed. In the SI model,the heterogeneity of user's active time was taken into account. From the results,it was found that the number of links among communities determines the fraction of infected nodes. With the increase of the number of groups G,however,the fraction of infected nodes remains approximately constant. The simulation results will be of great significance: the information will last relatively short for group networks which have either a small or a large number of groups. The results can be useful for optimizing or controlling information,such as propagating rumors in online social networks.

Obsolescence determination of network information based on “double-proportion” method

Purpose:It is necessary to determine whether the value of network information exists or not from users’perspective.This study is to develop a new approach,called'double-proportion'method(DPM),to determine the point of information obsolescence.Design/methodology/approach:Firstly,DPM is produced and introduced with statistics in great detail.Secondly,two data sets from Qiangguo Forum and NetEase News are used to validate DPM.Finally,the distributions of lifetime of the two sets are compared and reasons for the differences are revealed.Findings:In Qiangguo Forum,posts with no comments within 17 h can be identified as obsolescence,which indicates that approximately 83%of posts information has died within24 h,92%died within 36 h and almost all died within 54 h;While in NetEase News,news without comments within 28 h can be identified as obsolescence.Research limitations:This study adopted comments as the only behavior indicator,for further study other indicators like page views,republished times need to be used,to exploit better solutions for information obsolescence.Practical implications:According to obsolescence determination,network managers can optimize webpages more rationally,delete aged information in time,preserve valuable information,help search engines ignore aged webpages,optimize reptiles’mechanisms,and help advertisers choose webpages rationally to advertise online.Originality/value:Firstly,DPM is designed from users’perspective to describe the lifetime of information;Secondly,DPM is easy to use.DPM merges and improves former methods by taking the long-tail theory and Pareto principle into consideration.

Behavioral Intention to Continue Using a Library Mobile App

To meet the needs of today’s library users,institutions are developing library mobile apps(LMAs),as their libraries are increasingly intelligent and rely on deep learning.This paper explores the influencing factors and differences in the perception of LMAs at different time points after a user has downloaded an LMA.A research model was constructed based on the technology acceptance model.A questionnaire was designed and distributed twice to LMA users with an interval of three months to collect dynamic data.The analysis was based on structural equation modeling.The empirical results show that the perceived ease of use,the perceived usefulness,the social influence,and the facilitating conditions affected the users’behavioral intention,but their impacts were different at different times.As the usage time increases,the technology acceptance model is still universal for understanding the user perception of LMA.In addition,two extended variables(social impact and convenience)also affect the user’s behavior intention.User behavior is dynamic and changed over time.This study is important both theoretically and practically,as the results could be used to improve the service quality of LMAs and reduce the loss rate of users.Its findings may help the designers and developers of LMAs to optimize them from the perspective of a user and improve the service experience by providing a deeper understanding of the adoption behavior of information systems by LMA users.

用户跨社交媒体信息行为研究——概念界定、主题归类与未来展望

[目的/意义]通过对过去10余年国内外相关文献的梳理,把握用户跨社交媒体信息行为研究的特征和不足,并提出值得关注的研究方向,为该领域的发展和理论突破提供助力。[方法/过程]在文献检索的基础上,根据研究目的和质量评估筛选文献,再通过内容分析的方式从概念界定、理论基础和主题归类等方面进行总结整理。[结果/结论]用户跨社交媒体信息行为研究具有用户类型多样性、社交媒体异质性、信息线索一致性、行为模式协同性等概念内涵,理论基础聚焦在研究背景、信息需求和信息行为等维度,研究主题可归类为不同用户在不同社交媒体中的信息行为和同一用户在不同社交媒体中的信息行为。未来研究应当进一步扩展概念特征的外延,构建专有的理论模型和深挖其实践价值。

空巢背景下农民群体的惠农信息传播行为实证研究

[目的/意义]基于空巢化乡村农民群体分众化的视角,调查守巢、两栖和离巢等三类农民群体惠农信息传播行为的特征,探究农民群体之间传播行为的差异性。[研究设计/方法]研究框架和问卷设计基于创新信息传播的5阶段模型,利用SPSS的CV变异对不同阶段的各农民群体在惠农信息传播中的行为特征进行统计分析和比较。[结论/发现]不同农民群体在惠农信息传播的认知、决策、执行等阶段的行为存在差异,并根据分析结论提出相应对策以提高农民的惠农信息传播效能。[创新/价值]将惠农信息传播受众扩展至非农“农民”,三类型农民群体划分的思想,为政府差异化服务策略提供新依据。

近十年国内信息用户与行为研究主题变迁及趋势研究——基于2011—2020年国家社科立项项目

[目的/意义]信息用户与行为一直是图情领域的研究热点,通过国家社科项目立项数据,分析近十年来我国信息用户与行为研究主题的特点与发展趋势。[方法/过程]收集2011–2020年十年间信息用户与行为研究相关的国社科立项指南、立项项目及相关发文成果信息。分析项目及其成果发文的外部计量特征,并借助可视化分析软件CiteSpace进行内容分析,揭示国内信息用户与行为研究的主题特点和变迁。[结果/结论]图书馆读者相关的服务研究及网络相关信息行为研究是十年间的长线研究主题,十二五时期与十三五时期研究内容、依托理论、研究方法具有一定差异。未来研究将围绕服务国家重大战略、服务人工智能等新科技发展需求、推进“以用户为中心”研究理念、深化相关影响因素研究等问题开展。

直播购物情境下用户贡献行为影响因素研究

直播购物如何促进用户作出贡献行为是直播购物发展的关键。基于SOR理论,构建直播购物情境下用户贡献行为影响模型。研究发现,信息质量、品牌形象、主播专业性与直播互动性对感知愉悦与感知信任有正向影响;感知愉悦与感知信任对消费者冲动性消费与营销信息分享有正向影响;刺激环节的变量均通过感知愉悦与感知信任对消费者冲动性消费与营销信息分享的贡献行为产生正向影响;信息质量、品牌形象不能直接对冲动性消费产生影响,且品牌形象直接对消费者的营销信息分享产生正向影响;主播专业性、直播互动性不能直接对营销信息分享产生影响,对消费者的冲动性消费产生负向影响。

信息指引:内涵、应用及概念辨析

阐述了信息行为研究背景下信息指引概念产生的必要性;通过分析信息指引在缓解实际研究与运用中术语运用混淆、不规范等情况的作用,适时提出了既能够突出信息行为主体,又兼顾整个信息行为系统的信息指引概念,并指出信息指引具有资源收集的针对性与全面性、指引过程的自然性、成本的可控性、受众行为反应的指向性等特点;最后对信息指引的应用领域与方法进行了拓展。

在线问答社区学生用户信息资源隐藏行为的影响因素研究

[目的/意义]研究信息资源付费如何影响学生用户信息资源隐藏行为,为减少在线问答社区信息资源隐藏行为的相关理论与实践提供参考。[方法/过程]针对在线问答社区学生用户,采用问卷调查法收集了216份有效问卷,构建信息资源付费影响在线问答社区学生用户信息资源隐藏行为的链式中介模型,基于资源保存理论探究其内部影响机理,并探讨感知成本和感知损失在该模型中的双中介作用。[结果/结论]信息资源付费直接正向影响在线问答社区学生用户信息资源隐藏行为;信息资源付费分别以感知成本和感知损失为中介变量来正向影响在线问答社区学生用户信息资源隐藏行为。

跨文化传播视角下多语言用户信息分享行为过程模型构建研究

[目的/意义]全球化使得个体与不同文化的接触日益频繁,掌握多种语言的个体能够借助多元文化融合的机遇,利用数字平台为中华优秀文化的交流和传播提供新的路径和方向。[方法/过程]社交媒体时代多语言用户成为中国文化跨文化传播的核心推动者。故此,文章以多语言用户,即掌握两种及以上语言的用户作为研究对象探究其如何借助信息分享行为传播中华文化相关内容。通过众包方式收集来自全球355个多语言用户跨文化信息分享数据,采用主题分析法构建了多语言用户信息分享行为过程模型,旨在揭示具体的形成机制和行为规律。[结果/结论]构建了包含动机驱动阶段、信息交互阶段和体验感知阶段的多语言用户信息分享行为过程模型。立足中国文化语境,有助于凸显跨文化研究情境,对于促进新时代跨文化传播具有重要意义。

基于CPSS视角的需求响应能力评估综述

对信息—物理—社会系统与需求响应评估的结合进行综述。首先对信息物理系统的历史和框架进行分析。接着总结了现有的需求响应研究现状,包括需求响应潜力评估的意义、分类和评估方法。对于需求响应能力评估的数据来源进行总结,包括问卷调查和运行数据采集。在信息—物理—社会系统与需求响应结合方面,分别分析需求响应的物理域、信息域和社会域基础,介绍相应的建模方法和研究内容。最后,对未来的研究展望进行讨论,包括市场考核机制、快速仿真与建模技术以及综合能源下的需求响应管理。

AIGC用户中辍行为影响因素模型构建与实证研究

[目的/意义]为了厘清AIGC情境下用户心理韧性的驱动因素以及AIGC用户中辍行为的特征规律,有效缓解AIGC用户在初始采纳阶段后流失和中辍等消极行为造成的潜在风险,刺激AIGC用户持续使用,促进AIGC产业由技术驱动向用户驱动的高质量转变。[方法/过程]研究以韧性理论和S-O-R理论为基础,构建了AIGC用户中辍行为影响因素研究模型,通过发放问卷的形式,搜集了328份原始数据对所构建的模型进行实证和检验。[结果/结论]研究结果显示,心理韧性是有效缓解AIGC用户中辍行为的重要因素,技术韧性和信息质量是提升用户心理韧性的重要驱动因素,以此为基础,提出了提升用户心理韧性、防止用户中辍,促进用户持续使用的对策与建议。

网红图书馆类型对用户参与行为的影响研究

文章基于信息处理流畅性理论,通过实验探究网红图书馆类型与用户生成品牌内容诉求对用户参与行为的影响机制。研究发现,当温暖型网红图书馆与用户生成品牌内容情感性诉求相匹配时,用户线上参与行为更加积极;当能力型网红图书馆与用户生成品牌内容功能性诉求相匹配时,用户线下参与行为更加积极;自我表达需求在以上影响中发挥中介效应,自我建构在以上影响中发挥调节效应。基于此,提出图书馆利用网红现象提升影响力的策略,即挖掘自身优势资源,明确特色定位;建立在线数字平台,树立品牌形象;把握数字营销机遇,增强用户黏性;重视用户生成内容,鼓励用户参与。

不同自我同一性状态大学生的回音适应行为表现

信息窄化(回音室效应)现象日益突出并带来消极影响,但人们会采取回音适应行为以应对或消除信息窄化的影响。大学生正处于角色转变的关键时期,回音适应行为表现可能与其自我同一性发展水平有关。研究基于身份资本假设与I3行为主义框架探究并解释这一问题。使用问卷法对366名大学生进行施测,结果发现:处于自我同一性完成状态的大学生,回音适应行为得分最高,转变状态下次之,弥散状态下最低;信息过载和感知效用解释了弥散状态大学生的回音适应行为;身份气泡强化和感知效用解释了转变状态下大学生的回音适应行为。结果表明,弥散状态个体采取回音适应行为可能与无效而过载的信息推荐有关;转变状态个体采取回音适应行为可能与信息推荐为建立“身份气泡”机制提供了有效信息有关。