This study seeks to apply ecological psychology's concept of "affordance" to graduate students' information behavior in the academic library, and to explore the extent to which the affordances experienced by graduate students differed from the affordances librarians were attempting to provide.
This is a simple technique that enables one person or a group of people to create a categorisation of objects so that it is understood which objects belong with which other objects. Objects can be anything: menu items, blocks of content, proposed web pages, URLs. This method can be used by practically anybody after a few minutes practice.
Card sorting is a user testing method for organising data into structure. There’s a lot of information about on what they are, how to conduct them. Problem is, they’re all over the place and mostly they’re written by scientists so tend to be a little difficult to grasp and bogged down in analysis (which can take over your life if you let it!) I’ve decided to document my understanding of how to plan, conduct and analyse a card sort, from a practitioners point of view.
What do cognitive psychology and information architecture have in common? Actually there is a good deal of common ground between the two disciplines. Certainly, having a background in cognitive psychology supports the practice of information architecture, and it is precisely those interconnections and support that will be explored.
Contingency design is design for when things go wrong. It's the error messaging, graphic design, instructive text, information architecture, backend system, and customer service that helps visitors get back on track after a problem occurs.
Jamie Owen explores how we can best utilize cues in our work by understanding how memory, cognitive psychology, and multimedia research affect how information is encoded and retrieved.
To test aspects of a theoretical framework on goal detection in social interaction, an experiment examined dyadic initial interactions wherein one participant pursued a goal unbeknownst to another participant. The level of specificity and efficiency at which a pursuer sought a goal interacted to affect the accuracy of the detector's inference as well as the time of onset for that inference. Consistent with hypotheses, efficiency was unrelated to accuracy and negatively correlated with onset latency when pursuers had an abstract information-seeking goal, whereas efficiency was positively correlated with accuracy and onset latency when detecting a concrete (i.e., specific) information-seeking goal. Unexpectedly, efficiency was unrelated to accuracy and onset latency for a midlevel information-seeking goal. Other results focused on the role of individual differences (i.e., perspective-taking and suspicion in others' motives) and perceived communication competence in the goal detection process. A more controlled, second experiment that employed confederates generally replicated results.
As a human society, we're quite possibly looking at the largest surge of recorded information that has ever taken place, and at this point, we have only the most rudimentary tools for managing all this information--in part because we cannot predict what standards will be in place in 10, 50, or 100 years.
Jesse James Garrett’s 'The Elements of User Experience' diagram has become rightly famous as a clear and simple model for the sorts of things that user experience professionals do. But as a model of user experience it presents an incomplete picture with some serious omissions—omissions I’ll try address with a more holistic model.
Comment navigue un internaute? Qu'est ce qui le motive dans son parcours? Des études comportementales permettent de dégager des principes de base. Les façons d'agir ou de réagir des internautes sont désormais étudiées et testées. La navigation qui faisait la part belle à la structure technique du site se déplace vers une approche plus contextuelle. La barre de navigation va-t-elle donc disparaître?
The study investigates the ways in which people experience information overload in the context of monitoring everyday events through media such as newspapers and the internet. The findings are based on interviews with 20 environmental activists in Finland in 2005. The perceptions of the seriousness of problems caused by information overload varied among the participants. On the one hand, information overload was experienced as a real problem particularly in the networked information environments. On the other hand, information overload was perceived as an imagined problem with some mythical features. Two major strategies for coping with information overload were identified. The filtering strategy is based on the determined weeding out of material deemed useless. This strategy is favoured in networked information environments. The withdrawal strategy is more affectively oriented, emphasizing the need to protect oneself from excessive information supply by keeping the number of information sources to a minimum.
As information architects we all know how important it is to keep the user in mind. The same is true in teaching IA: we must keep the learner in mind. Learning objectives are one tool to help keep your classes focused on the student. They will also help you develop the syllabus, lesson plans, and assessment methods.
Information-seeking behavior varies from situation to situation. Donna Mauer explores different ways in which users look for information and offers tactics for accommodating them.
In 2008, Americans consumed information for about 1.3 trillion hours, an average of almost 12 hours per day. Consumption totaled 3.6 zettabytes and 10,845 trillion words, corresponding to 100,500 words and 34 gigabytes for an average person on an average day. A zettabyte is 10 to the 21st power bytes, a million million gigabytes. These estimates are from an analysis of more than 20 different sources of information, from very old (newspapers and books) to very new (portable computer games, satellite radio, and Internet video). Information at work is not included.
This article aims to examine a particular sub-set of human information behavior that has been largely overlooked in the library and information science (LIS) literature; how people are socialized to create and use information.
Almost 2 million book titles were published in the US alone, compared to more than the 1.3 million books published in the preceding 100 years. This change in the amount of information available for consumption is starting to change the way people read. How do we address the problem of information overload? Through good writing, and good information architecture.
The emergence of research on various aspects of `information behaviour' is explored and its growth as a subject of academic research is documented. The origin of the field as a potential aid to the development of library and information services is noted, as is the transition from this status to that of a subject for research at PhD level and beyond. The development of the field has thus led to a division between the needs of academia for theoretically grounded work, and the needs of the field of practice for guidance for service development. There is, today, a disconnection between research and practice, to a significant extent: early research was undertaken by practitioners but today academic research dominates the scene. Suggestions are made as to how this disconnection can be repaired.
The classic rules of business management are rooted in the manufacturing traditions of the industrial age. Unfortunately, they have yet to address the new realities of the information age, in which products are no longer made from atoms but are mostly software, made only from the arrangements of bits.
In this article, theories of human judgement and decision making are reviewed and their use by library and information science researchers examined. A different perspective on judgement and decision making is offered by the field of naturalistic decision making (NDM) and the implications of this approach are considered for an expanded understanding of how judgements and decisions are made during information seeking. This discussion is illustrated by a case from a recent empirical investigation into how judgements of enough information are made in the workplace. The article concludes with a critical evaluation of the NDM approach. It is argued that NDM, a recent development in decision theory, offers a new perspective from which to investigate judgements and decisions during information seeking.
Workers in organizations frequently request help from assistants by sending request messages that express information intent: an intention to update data in an information system. Human assistants spend a significant amount of time and effort processing these requests. For example, human-resource assistants process requests to update personnel records, and executive assistants process requests to schedule conference rooms or to make travel reservations. To process the intent of a request, an assistant reads the request and then locates, completes, and submits a form that corresponds to the expressed intent. Automatically or semi-automatically processing the intent expressed in a request on behalf of an assistant would ease the mundane and repetitive nature of this kind of work.
When working with government and large private organizations on complex information systems, project managers and business representatives often demand early-stage validation that the proposed classification system provides the user-friendly solution they are charged with delivering. They also require this validation in a format that will be engaging for senior business stakeholders.