Details
| Original language | English |
|---|---|
| Title of host publication | CHIIR 2018 - Proceedings of the 2018 Conference on Human Information Interaction and Retrieval |
| Pages | 2-11 |
| Number of pages | 10 |
| ISBN (electronic) | 9781450349253 |
| Publication status | Published - 1 Mar 2018 |
| Event | CHIIR 2018: ACM SIGIR Conference on Human Information Interaction and Retrieval - New Brunswick, United States Duration: 11 Mar 2018 → 15 Mar 2018 |
Publication series
| Name | CHIIR 2018 - Proceedings of the 2018 Conference on Human Information Interaction and Retrieval |
|---|---|
| Volume | 2018-March |
Abstract
Web search is frequently used by people to acquire new knowledge and to satisfy learning-related objectives, but little is known about how a user’s knowledge evolves through the course of a search session. We present a study addressing the knowledge gain of users in informational search sessions. Using crowdsourcing, we recruited 500 distinct users and orchestrated real-world search sessions spanning 10 different topics and information needs. By using scientifically formulated knowledge tests we calibrated the knowledge of users before and after their search sessions, quantifying their knowledge gain. We investigated the impact of information needs on the search behavior and knowledge gain of users, revealing a significant effect of information need on user queries and navigational patterns, but no direct effect on the knowledge gain. Users on average exhibited a higher knowledge gain through search sessions pertaining to topics they were less familiar with. Our findings in this paper contribute important ground work towards advancing current research in understanding user knowledge gain through web search sessions.
ASJC Scopus subject areas
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Information Systems
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CHIIR 2018 - Proceedings of the 2018 Conference on Human Information Interaction and Retrieval. 2018. p. 2-11 (CHIIR 2018 - Proceedings of the 2018 Conference on Human Information Interaction and Retrieval; Vol. 2018-March).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Analyzing knowledge gain of users in informational search sessions on the web
AU - Gadiraju, Ujwal
AU - Yu, Ran
AU - Dietze, Stefan
AU - Holtz, Peter
N1 - Publisher Copyright: © 2018 Association for Computing Machinery.
PY - 2018/3/1
Y1 - 2018/3/1
N2 - Web search is frequently used by people to acquire new knowledge and to satisfy learning-related objectives, but little is known about how a user’s knowledge evolves through the course of a search session. We present a study addressing the knowledge gain of users in informational search sessions. Using crowdsourcing, we recruited 500 distinct users and orchestrated real-world search sessions spanning 10 different topics and information needs. By using scientifically formulated knowledge tests we calibrated the knowledge of users before and after their search sessions, quantifying their knowledge gain. We investigated the impact of information needs on the search behavior and knowledge gain of users, revealing a significant effect of information need on user queries and navigational patterns, but no direct effect on the knowledge gain. Users on average exhibited a higher knowledge gain through search sessions pertaining to topics they were less familiar with. Our findings in this paper contribute important ground work towards advancing current research in understanding user knowledge gain through web search sessions.
AB - Web search is frequently used by people to acquire new knowledge and to satisfy learning-related objectives, but little is known about how a user’s knowledge evolves through the course of a search session. We present a study addressing the knowledge gain of users in informational search sessions. Using crowdsourcing, we recruited 500 distinct users and orchestrated real-world search sessions spanning 10 different topics and information needs. By using scientifically formulated knowledge tests we calibrated the knowledge of users before and after their search sessions, quantifying their knowledge gain. We investigated the impact of information needs on the search behavior and knowledge gain of users, revealing a significant effect of information need on user queries and navigational patterns, but no direct effect on the knowledge gain. Users on average exhibited a higher knowledge gain through search sessions pertaining to topics they were less familiar with. Our findings in this paper contribute important ground work towards advancing current research in understanding user knowledge gain through web search sessions.
UR - http://www.scopus.com/inward/record.url?scp=85049694593&partnerID=8YFLogxK
U2 - 10.1145/3176349.3176381
DO - 10.1145/3176349.3176381
M3 - Conference contribution
AN - SCOPUS:85049694593
T3 - CHIIR 2018 - Proceedings of the 2018 Conference on Human Information Interaction and Retrieval
SP - 2
EP - 11
BT - CHIIR 2018 - Proceedings of the 2018 Conference on Human Information Interaction and Retrieval
T2 - CHIIR 2018
Y2 - 11 March 2018 through 15 March 2018
ER -