Abstract
| Language | English |
|---|---|
| Title of host publication | 23rd International Conference on Intelligent User Interfaces, ACM IUI |
| Pages | 353-364 |
| Number of pages | 12 |
| ISBN (Electronic) | 978-1-4503-4945-1 |
| DOIs | |
| Status | Published - 2018 |
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Keywords
- Social search
- exploratory search
- social exploratory search
- recommender systems
- explainable AI
- transparency
Cite this
A study on user-controllable social exploratory search. / di Sciascio, Cecilia; Brusilovsky, Peter; Veas, Eduardo.
23rd International Conference on Intelligent User Interfaces, ACM IUI. 2018. p. 353-364.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - A study on user-controllable social exploratory search
AU - di Sciascio,Cecilia
AU - Brusilovsky,Peter
AU - Veas,Eduardo
PY - 2018
Y1 - 2018
N2 - Information-seeking tasks with learning or investigative purposes are usually referred to as exploratory search. Exploratory search unfolds as a dynamic process where the user, amidst navigation, trial-and-error and on-the-fly selections, gathers and organizes information (resources). A range of innovative interfaces with increased user control have been developed to support exploratory search process. In this work we present our attempt to increase the power of exploratory search interfaces by using ideas of social search, i.e., leveraging information left by past users of information systems. Social search technologies are highly popular nowadays, especially for improving ranking. However, current approaches to social ranking do not allow users to decide to what extent social information should be taken into account for result ranking. This paper presents an interface that integrates social search functionality into an exploratory search system in a user-controlled way that is consistent with the nature of exploratory search. The interface incorporates control features that allow the user to (i) express information needs by selecting keywords and (ii) to express preferences for incorporating social wisdom based on tag matching and user similarity. The interface promotes search transparency through color-coded stacked bars and rich tooltips. In an online study investigating system accuracy and subjective aspects with a structural model we found that, when users actively interacted with all its control features, the hybrid system outperformed a baseline content-based-only tool and users were more satisfied.
AB - Information-seeking tasks with learning or investigative purposes are usually referred to as exploratory search. Exploratory search unfolds as a dynamic process where the user, amidst navigation, trial-and-error and on-the-fly selections, gathers and organizes information (resources). A range of innovative interfaces with increased user control have been developed to support exploratory search process. In this work we present our attempt to increase the power of exploratory search interfaces by using ideas of social search, i.e., leveraging information left by past users of information systems. Social search technologies are highly popular nowadays, especially for improving ranking. However, current approaches to social ranking do not allow users to decide to what extent social information should be taken into account for result ranking. This paper presents an interface that integrates social search functionality into an exploratory search system in a user-controlled way that is consistent with the nature of exploratory search. The interface incorporates control features that allow the user to (i) express information needs by selecting keywords and (ii) to express preferences for incorporating social wisdom based on tag matching and user similarity. The interface promotes search transparency through color-coded stacked bars and rich tooltips. In an online study investigating system accuracy and subjective aspects with a structural model we found that, when users actively interacted with all its control features, the hybrid system outperformed a baseline content-based-only tool and users were more satisfied.
KW - Social search
KW - exploratory search
KW - social exploratory search
KW - recommender systems
KW - explainable AI
KW - transparency
U2 - 10.1145/3172944.3172986
DO - 10.1145/3172944.3172986
M3 - Conference contribution
SP - 353
EP - 364
BT - 23rd International Conference on Intelligent User Interfaces, ACM IUI
ER -