Natural Search User Interfaces for Complex Biomedical Search: An Eye Tracking Study
نویسندگان
چکیده
منابع مشابه
Towards "Natural" Interactions in Search User Interfaces
Key Trends in Technology Use What does the future hold for search user interfaces? The familiar web search interface of today works well for millions of people and billions of queries a year. Very few innovations in search interfaces gain wide enough acceptance to replace the standard type-keywords-in-entry-form, viewresults-in-a-vertical-results-list interface. This is in part because search i...
متن کاملUser Interfaces for Search
Much of this book describes the algorithms behind search engines and information retrieval systems. By contrast, this chapter focuses on the human users of search systems, and the window through which search systems are seen: the search user interface. The role of the search user interface is to aid in the searcher's understanding and expression of their information needs, and to help users for...
متن کاملEvolving Search User Interfaces
When designing search user interfaces (SUIs), there is a need to target specific user groups. The cognitive abilities, fine motor skills, emotional maturity and knowledge of a sixty years old man, a fourteen years old teenager and a seven years old child differ strongly. These abilities influence the decisions made in the user interface (UI) design process of SUIs. Therefore, SUIs are usually d...
متن کاملUnderstanding Expert Search Strategies for Designing User-Friendly Search Interfaces
Web search engines face an extremely heterogeneous user population from web novices to highly skilled experts. Currently, the search strategies of the experienced web searchers are largely unknown and this paper addresses this issue by an observational study. Seven computer scientists were observed during and interviewed after performing their own work-related web search tasks. The observations...
متن کاملEye-Tracking Analysis of User Behavior in WWW-Search
We investigate how users interact with the results page of a WWW search engine using eye-tracking. The goal is to gain insight into how users browse the presented abstracts and how they select links for further exploration. Such understanding is valuable for improved interface design, as well as for more accurate interpretations of implicit feedback (e.g. clickthrough) for machine learning. The...
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 the Australian Library and Information Association
سال: 2017
ISSN: 2475-0158,2475-0166
DOI: 10.1080/24750158.2017.1357915