SPACE, TIME AND USERS BEHAVIOR OF LIBRARIES : Users behavior in library systems Part 3
نویسندگان
چکیده
منابع مشابه
e Factors Affecting the Unplanned Behavior of Users to Use Academic Libraries Resources and Services
Background and Aim: The present study aimed at investigating the factors affecting the unplanned behavior of users to use academic library resources and services. Methods: The present study is considered as being an applied one in terms of purpose ,and it has has been conducted using descriptive-survey method. Research population consist of the students of central libraries at Ferdowsi Universi...
متن کاملUnderstanding and describing users' wayfinding behavior in public library facilities
Wayfinding is the study of how humans use a variety of informational media to orient themselves and navigate in a space, such as a library. This multi-method case study tested the applicability of a wayfinding framework developed in architecture to a public library environment. Research methods included unobtrusive observation of a random sample of users wayfinding in the facility and interview...
متن کاملDiscovering Europeana Users' Search Behavior
Europeana is a strategic project funded by the European Commission with the goal of making Europe's cultural and scientific heritage accessible to the public. ASSETS is a two- year BLOCKIN BLOCKIN performance, accessibility and usability of the Europeana search engine. Here we present a characterization of the Europeana logs by showing statistics on common behavioral patterns of the Europeana ...
متن کاملEveryday sitting behavior of full-time wheelchair users.
The objective of this study was to describe the in-seat movement and weight-shifting behavior of full-time wheelchair users. We measured everyday sitting behavior for 192 d across 28 individuals who used manual wheelchairs as their primary mobility device. To obtain the measurements, we used eight thin force sensors placed under participants' wheelchair cushions. On a typical day, participants ...
متن کاملPrediction and Discovery of Users' Desktop Behavior
We investigate prediction and discovery of user desktop activities. The techniques we explore are unsupervised. In the first part of the paper, we show that efficient many-class learning can perform well for action prediction in the Unix domain, significantly improving over previously published results. This finding is promising for various human-computer interaction scenarios where rich predic...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Architecture and Planning (Transactions of AIJ)
سال: 2000
ISSN: 1340-4210,1881-8161
DOI: 10.3130/aija.65.115