z-logo
open-access-imgOpen Access
User Exploration of Slider Facets in Interactive People Search System
Author(s) -
Shuguang Han
Publication year - 2016
Publication title -
iconference 2014 proceedings
Language(s) - English
Resource type - Conference proceedings
DOI - 10.9776/16324
Subject(s) - slider , facet (psychology) , computer science , ranking (information retrieval) , human–computer interaction , search engine , task (project management) , information retrieval , psychology , engineering , mechanical engineering , social psychology , systems engineering , personality , big five personality traits
People search is an important search task where the goal is to find people instead of documents. Providing search facets in a people search system can help users better describe their search intents. Some systems provide checkboxes for the discrete values of each facet to assist users filtering search results. Some other systems in recent studies provide sliders to represent the continuous values of facets. Slider facets enable an interactive search system to handle the facets without discrete values. Yet, the ways of how users interact with slider facets are rarely studied, particularly for people search tasks. Based on a user study with 24 participants using an interactive people search interface with three slider facets, we find that users indeed utilize the slider facets consistently in their search processes to fine-tune the search results ranking. We also find that although tuning the slider facets values can bring performance boost but users are lack of abilities to locate the optimal facet-values, which indicates the necessity of providing automatic facet-value suggestion

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom