文本结构和时间应激对网页阅读绩效的影响

探讨了文本结构和时间应激对网页阅读绩效的影响效应。采用 2× 3被试间设计 ,自变量为文本结构和阅读时间 ,因变量为找到相关信息的时间及途径的额外节点数。结果发现 ,主效应及交互作用的影响均十分显著。其中 ,当阅读时间为 10和 2 0min时 ,超文本阅读的绩效均显著低于线性文本 ,而在 30min时两者无显著差异 ;对超文本 ,三种阅读时间的效应存在显著差异 ,而对线性材料 ,阅读时间的效应无显著差异。结论 :时间应激对超文本阅读绩效的影响更为明显     

超文本阅读绩效研究述评——认知的视角

网络不同于传统媒介的最大特点是以灵活的超文本形式呈现信息,超文本将关联的信息以网络状形式加以组织,读者可以通过链接从一个节点跳转到其他任何一个节点。本文回顾了超文本阅读的研究历程,指出目前这一领域研究存在的困境并试图寻找原因,在此基础上提出了今后研究的建议。     

The use of hypertext and sensory-level supports for visual learning of aircraft names and shapes

Hypertexts have many novel and unexplored features for representing, linking, and exploring knowledge to make it more useful for learning. We contrasted traditional textbook presentation of information against a hypertext that implemented database retrieval of text and manipulation of colored, bitmapped displays. Hypertext enabled us to explore the role of sensory-level supports, such as apparent motion and colored overlays, as aids for visual cognition and concept formation. One visible difference between traditional text and hypertext was in the use of a rapid browsing strategy by the hypertext learners, compared with a methodical, extended side-by-side comparison by the book learners. The research also discovered that students better learned local neighborhoods of concepts, as opposed to widely dispersed concepts, in the hypertext environment. We selected visual aircraft recognition (VACR) as a topical area for the research because it is a very important problem in the Army, because traditional VACR training emphasizes both text and images, and because we had available to us a fine manual (Army Field Manual FM 44–30) full of black-and-white pictures and text that was artfully arranged on the page, as well as access to hundreds of color slides of airplanes. Our research found superior learning with the hypertext field manual, and we examined higher order learning strategies, such as depth-first versus breadth-first paths through the hierarchy of knowledge, and sensory-level supports for learning within these environments.     

结构、任务类型和导航对超文本信息搜索的影响

通过两个实验考察了结构、任务类型和导航对超文本信息搜索绩效的影响。实验一采用2（层次结构,混合结构）×2（特定任务,关系任务）的被试内设计,探讨了超文本结构和任务类型对信息搜索的影响;实验二在实验一的基础上,采用2（层次结构,混合结构）×2（有导航图,无导航图）的被试内设计,考察超文本结构和导航对关系任务信息搜索的影响。结果表明：（1）超文本结构和任务类型对信息搜索绩效有显著的交互影响,就关系任务而言,混合结构超文本优于层次结构超文本,但就特定任务而言,两者无显著差异;（2）导航对信息搜索行为有指导作用,尤其对层次结构超文本有利;（3）两种主观指标的结果与客观指标存在一定程度的一致性。     

To link or not to link? Empirical guidance for the design of nonlinear text systems

We compared the effectiveness of two versions of the NetBook data model for nonlinear text—one with links and one without. Users who accessed information through specifications based on properties and values alone performed better than users who employed such specifications as well as hypertext links. Protocol analysis revealed that hypertext links were useful when a subject’s specifications were unspecific but correct. However, hypertext could rarely compensate for inaccurate specifications. Design recommendations are included.     

超文本节点大小对网页信息搜索效率的影响

本研究考察了超文本节点大小对网页信息搜索效率的影响效应.采用单变量被试间设计,自变量为超文本节点大小,分为130字左右、260字左右和520字左右三个水平,因变量为被试找到10个相关问题的正确答案所需的时间以及搜索过程中打开的节点个数和重复节点数.结果表明,虽然发现正确答案所需的时间随节点增大而延长,但这种影响没有达到显著的水平(p＞0.05);节点大小对被试打开的节点个数和重复节点数均有显著影响(p＜0.01).结论认为,在超文本网页设计中应充分考虑节点大小对信息搜索效率的影响效应.     

The Stanford Encyclopedia of Philosophy: A Developed Dynamic Reference Work

The present information explosion on the World Wide Web poses a problem for the general public and the members of an academic discipline alike, of how to find the most authoritative, comprehensive, and up-to-date information about an important topic. At the Stanford Encyclopedia of Philosophy (SEP), we have since 1995 been developing and implementing the concept of a dynamic reference work (DRW) to provide a solution to these problems, while maintaining free access for readers. A DRW is much more than a web-based encyclopedia, and its scope far exceeds that of an electronic journal or preprint exchange. In this article we document the progress of the SEP toward full implementation of the DRW concept. We discuss the fiscal challenges posed by our desire to maintain free or low-cost access to the contents of the SEP, and we consider technological challenges posed by the desire to stay abreast of technological developments in document markup while making it easy for authors and subject editors to write and maintain entries representing the very best scholarship.     

DEWEX: A system for designing and conducting Web-based experiments

DEWEX is a server-based environment for developing Web-based experiments. It provides many features for creating and running complex experimental designs on a local server. It is freeware and allows for both using default features, for which only text input is necessary, and easy configurations that can be set up by the experimenter. The tool also provides log files on the local server that can be interpreted and analyzed very easily. As an illustration of how DEWEX can be used, a recent study is presented that demonstrates the system’s most important features. This study investigated learning from multiple hypertext sources and shows the influences of task, source of information, and hypertext presentation format on the construction of mental representations of a hypertext about a historical event.     

超文本环境下大学生自我调节学习的特征

随着计算机网络技术的出现和普及,超文本也开始逐渐成为人们阅读和学习的主要信息呈现方式。为了深入地了解大学生在超文本环境下的自我调节学习特点,采用口语报告的方法,使用修订的自我调节学习的过程模型对75名大学生进行研究。结果表明,超文本学习环境中大学生自我调节学习表现出对目标、区分有效信息、时间分配、选择新的信息资源、对情境的利用等过程的使用偏好。优生在目标、学习判断、略读过程上的使用率显著高于差生,差生在求助和无效搜索过程上的使用率显著高于优生。超文本学习环境下大学生自我调节学习存在着过程使用偏好,优差生在自我调节过程中表现出不同的使用偏好。     

Factors influencing evaluations of web site information

This study investigated the effect of first-person and third-person perceptions of web site information. Responses from a telephone survey of 226 participants in a stratified random sample indicated that (1) most participants had higher evaluations for television news than for news received on the Internet; (2) a third-person effect was present in that most respondents generally thought that other people found the Internet easier to use than they did, and that other people were more likely to believe Internet information and trust the sources of Internet information than they would. Also, (3), evaluations of information on a particular web site could be increased by providing links to other web sites on the same topic. Perhaps links to other web sites may serve as either a "referencing" function or a social confirmation function to increase evaluations of web site information.     

The Chemnitz LogAnalyzer: A tool for analyzing data from hypertext navigation research

Computer-based studies usually produce log files as raw data. These data cannot be analyzed adequately with conventional statistical software. The Chemnitz LogAnalyzer provides tools for quick and comfortable visualization and analyses of hypertext navigation behavior by individual users and for aggregated data. In addition, it supports analogous analyses of questionnaire data and reanalysis with respect to several predefined orders of nodes of the same hypertext. As an illustration of how to use the Chemnitz LogAnalyzer, we give an account of one study on learning with hypertext. Participants either searched for specific details or read a hypertext document to familiarize themselves with its content. The tool helped identify navigation strategies affected by these two processing goals and provided comparisons, for example, of processing times and visited sites. Altogether, the Chemnitz LogAnalyzer fills the gap between log files as raw data of Web-based studies and conventional statistical software.     

General and Familiar Trust in Websites

When people rely on the web to gather and distribute information, they can build a sense of trust in the websites with which they interact. Understanding the correlates of trust in most websites (general website trust) and trust in websites that one frequently visits (familiar website trust) is crucial for constructing better models of risk perception and online behavior. We conducted an online survey of active Internet users and examined the associations between the two types of web trust and several independent factors: information technology competence, adverse online events, and general dispositions to be trusting or cautious of others. Using a series of nested ordered logistic regression models, we find positive associations between general trust, general caution, and the two types of web trust. The positive effect of information technology competence erases the effect of general caution for general website trust but not for familiar website trust, providing evidence that general trust and self-reported competence are stronger associates of general website trust than broad attitudes about prudence. Finally, the experience of an adverse online event has a strong, negative association with general website trust, but not with familiar website trust. We discuss several implications for online behavior and suggest website policies that can help users make informed decisions about interacting with potentially risky websites.     

Probabilistic and distributional approaches to language acquisition

Recent computational research on natural language corpora has revealed that relatively simple statistical learning mechanisms can make an important contribution to certain aspects of language acquisition. For example, statistical and connectionist methods can provide valuable cues to word segmentation and to the acquisition of inflectional morphology, syntactic classes and aspects of word meaning. In each case, these cues are partial, and must be integrated with additional information, whether from other environmental cues or innate knowledge, to provide a complete solution to the acquisition problem. The success of these methods with real natural language corpora demonstrates their feasibility as part of the language acquisition mechanism, an area where previously most research has been limited to highly idealized artificial input or to a priori considerations regarding the feasibility of acquisition mechanisms. Exploring probabilistic learning mechanisms with natural language input provides both an empirical basis for assessing how innate constraints interact with information derived from the environment, and a source of hypotheses for experimental testing.     

Human use regulatory affairs advisor (HURAA): learning about research ethics with intelligent learning modules.

The Human Use Regulatory Affairs Advisor (HURAA) is a Web-based facility that provides help and training on the ethical use of human subjects in research, based on documents and regulations in United States federal agencies. HURAA has a number of standard features of conventional Web facilities and computer-based training, such as hypertext, multimedia, help modules, glossaries, archives, links to other sites, and page-turning didactic instruction. HURAA also has these intelligent features: (1) an animated conversational agent that serves as a navigational guide for the Web facility, (2) lessons with case-based and explanation-based reasoning, (3) document retrieval through natural language queries, and (4) a context-sensitive Frequently Asked Questions segment, called Point & Query. This article describes the functional learning components of HURAA, specifies its computational architecture, and summarizes empirical tests of the facility on learners.     

The development of articulatory signatures in children

The ability to perceive and produce sounds at multiple time scales is a skill necessary for the acquisition of language. Unlike speech perception, which develops early in life, the production of speech sounds starts at a few months and continues into late childhood with the development of speech-motor skills. Though there is detailed information available on early phonological development, there is very little information on when various articulatory features achieve adult-like maturity. We use modern spectral analysis to investigate the development of three language features associated with three different timescales in vocal utterances from typically developing children between 4 and 8 years. We make comparisons with adult speech and find age dependence in the appearance of these features. Results suggest that as children get older they exhibit increasingly more power in features associated with shorter time scales, thereby indicating the maturation of fine motor control in speech. Such data from typically developing children could provide milestones of speech production at different timescales. Since impairments in spoken language often provide the first warning signs of a language disorder we suggest that speech production could also be used to probe language disorders.     

Human use regulatory affairs advisor (HURAA): Learning about research ethics with intelligent learning modules

The Human Use Regulatory Affairs Advisor (HURAA) is a Web-based facility that provides help and training on the ethical use of human subjects in research, based on documents and regulations in United States federal agencies. HURAA has a number of standard features of conventional Web facilities and computer-based training, such as hypertext, multimedia, help modules, glossaries, archives, links to other sites, and page-turning didactic instruction. HURAA also has these intelligent features: (1) an animated conversational agent that serves as a navigational guide for the Web facility, (2) lessons with case-based and explanation-based reasoning, (3) document retrieval through natural language queries, and (4) a context-sensitive Frequently Asked Questions segment, calledPoint & Query. This article describes the functional learning components of HURAA, specifies its computational architecture, and summarizes empirical tests of the facility on learners.     

The Value of Symbolic Computation

Standard generative linguistic theory, which uses discrete symbolic models of cognition, has some strengths and weaknesses. It is strong on providing a network of outposts that make scientific travel in the jungles of natural language feasible. It is weak in that it currently depends on the elaborate and unformalized use of intuition to develop critical supporting assumptions about each data point. In this regard, it is not in a position to characterize natural language systems in the lawful terms that ecological psychologists strive for. Connectionist learning models offer some help: They define lawful relations between linguistic environments and language systems. But our understanding of them is currently weak, especially when it comes to natural language syntax. Fortunately, symbolic linguistic analysis can help connectionism if the two meet via dynamical systems theory. I discuss a case in point: Insights from linguistic explorations of natural language syntax appear to have identified information structures that are particularly relevant to understanding ecologically appealing but analytically mysterious connectionist learning models.     

Mental representation of symbols as revealed by vocabulary errors in two bonobos (<Emphasis Type="Italic">Pan paniscus</Emphasis>)

Error analysis has been used in humans to detect implicit representations and categories in language use. The present study utilizes the same technique to report on mental representations and categories in symbol use from two bonobos (Pan paniscus). These bonobos have been shown in published reports to comprehend English at the level of a two-and-a-half year old child and to use a keyboard with over 200 visuographic symbols (lexigrams). In this study, vocabulary test errors from over 10 years of data revealed auditory, visual, and spatio-temporal generalizations (errors were more likely items that looked like sounded like, or were frequently associated with the sample item in space or in time), as well as hierarchical and conceptual categorizations. These error data, like those of humans, are a result of spontaneous responding rather than specific training and do not solely depend upon the sample mode (e.g. auditory similarity errors are not universally more frequent with an English sample, nor were visual similarity errors universally more frequent with a photograph sample). However, unlike humans, these bonobos do not make errors based on syntactical confusions (e.g. confusing semantically unrelated nouns), suggesting that they may not separate syntactical and semantic information. These data suggest that apes spontaneously create a complex, hierarchical, web of representations when exposed to a symbol system. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

MPTinR: Analysis of multinomial processing tree models in R

We introduce MPTinR, a software package developed for the analysis of multinomial processing tree (MPT) models. MPT models represent a prominent class of cognitive measurement models for categorical data with applications in a wide variety of fields. MPTinR is the first software for the analysis of MPT models in the statistical programming language R, providing a modeling framework that is more flexible than standalone software packages. MPTinR also introduces important features such as (1) the ability to calculate the Fisher information approximation measure of model complexity for MPT models, (2) the ability to fit models for categorical data outside the MPT model class, such as signal detection models, (3) a function for model selection across a set of nested and nonnested candidate models (using several model selection indices), and (4) multicore fitting. MPTinR is available from the Comprehensive R Archive Network at http://cran.r-project.org/web/packages/MPTinR/.