Details
| Original language | English |
|---|---|
| Title of host publication | SIGIR 2019 |
| Subtitle of host publication | Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval |
| Place of Publication | New York |
| Pages | 1249-1252 |
| Number of pages | 4 |
| ISBN (electronic) | 9781450361729 |
| Publication status | Published - 18 Jul 2019 |
| Event | 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019 - Paris, France Duration: 21 Jul 2019 → 25 Jul 2019 |
Abstract
User-centered approaches have been extensively studied and used in the area of struggling search. Related research has targeted key aspects of users such as user satisfaction or frustration, and search success or failure, using a variety of experimental methods including laboratory user studies, in-situ explicit feedback from searchers and by using crowdsourcing. Such studies are valuable in advancing the understanding of search difficulty from a user's perspective, and yield insights that can directly improve search systems and their evaluation. However, little is known about how user moods influence their interactions with a search system or their perception of struggling. In this work, we show that a user's own mood can systematically bias the user's perception, and experience while interacting with a search system and trying to satisfy an information need. People who are in activated-(un)pleasant moods tend to issue more queries than people in deactivated or neutral moods. Those in an unpleasant mood perceive a higher level of difficulty. Our insights extend the current understanding of struggling search tasks and have important implications on the design and evaluation of search systems supporting such tasks.
Keywords
- Information Retrieval, Mood, Struggling Search, Users
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Mathematics(all)
- Applied Mathematics
- Computer Science(all)
- Software
Cite this
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SIGIR 2019: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, 2019. p. 1249-1252.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Revealing the role of user moods in struggling search tasks
AU - Xu, Luyan
AU - Zhou, Xuan
AU - Gadiraju, Ujwal
PY - 2019/7/18
Y1 - 2019/7/18
N2 - User-centered approaches have been extensively studied and used in the area of struggling search. Related research has targeted key aspects of users such as user satisfaction or frustration, and search success or failure, using a variety of experimental methods including laboratory user studies, in-situ explicit feedback from searchers and by using crowdsourcing. Such studies are valuable in advancing the understanding of search difficulty from a user's perspective, and yield insights that can directly improve search systems and their evaluation. However, little is known about how user moods influence their interactions with a search system or their perception of struggling. In this work, we show that a user's own mood can systematically bias the user's perception, and experience while interacting with a search system and trying to satisfy an information need. People who are in activated-(un)pleasant moods tend to issue more queries than people in deactivated or neutral moods. Those in an unpleasant mood perceive a higher level of difficulty. Our insights extend the current understanding of struggling search tasks and have important implications on the design and evaluation of search systems supporting such tasks.
AB - User-centered approaches have been extensively studied and used in the area of struggling search. Related research has targeted key aspects of users such as user satisfaction or frustration, and search success or failure, using a variety of experimental methods including laboratory user studies, in-situ explicit feedback from searchers and by using crowdsourcing. Such studies are valuable in advancing the understanding of search difficulty from a user's perspective, and yield insights that can directly improve search systems and their evaluation. However, little is known about how user moods influence their interactions with a search system or their perception of struggling. In this work, we show that a user's own mood can systematically bias the user's perception, and experience while interacting with a search system and trying to satisfy an information need. People who are in activated-(un)pleasant moods tend to issue more queries than people in deactivated or neutral moods. Those in an unpleasant mood perceive a higher level of difficulty. Our insights extend the current understanding of struggling search tasks and have important implications on the design and evaluation of search systems supporting such tasks.
KW - Information Retrieval
KW - Mood
KW - Struggling Search
KW - Users
UR - http://www.scopus.com/inward/record.url?scp=85073771937&partnerID=8YFLogxK
U2 - 10.1145/3331184.3331353
DO - 10.1145/3331184.3331353
M3 - Conference contribution
AN - SCOPUS:85073771937
SP - 1249
EP - 1252
BT - SIGIR 2019
CY - New York
T2 - 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019
Y2 - 21 July 2019 through 25 July 2019
ER -