Details
| Original language | English |
|---|---|
| Title of host publication | 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018 |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 1257-1260 |
| Number of pages | 4 |
| ISBN (electronic) | 9781450356572 |
| Publication status | Published - 2018 |
| Event | 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018 - Ann Arbor, United States Duration: 8 Jul 2018 → 12 Jul 2018 |
Abstract
Query suggestions are a standard means to clarify the intent of underspecified queries. In a voice-based search setting, the compilation of query suggestions is not straightforward, and user-centric research targeting query underspecification is lacking so far. Our paper analyses a specific type of ambiguous voice queries and studies the impact of various kinds of voice query clarifications offered by the system and its impact on user satisfaction. We conduct a user study that measures the satisfaction for clarifications that are explicitly invoked and presented by seven different methods. Our findings include that (1) user experience depends on language proficiency levels, (2) users are not dissatisfied when prompted for clarifications (in fact, enjoy it sometimes), and (3) the most effective way of query clarification depends on the number and lengths of the possible answers.
Keywords
- Clarification, Conversational search, Personal assistants, Query clarification, Query disambiguation, Voice queries, Voice query, Voice search
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
- Computer Science(all)
- Information Systems
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41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018. Association for Computing Machinery (ACM), 2018. p. 1257-1260.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Toward Voice Query Clarification
AU - Kiesel, Johannes
AU - Bahrami, Arefeh
AU - Stein, Benno
AU - Anand, Avishek
AU - Hagen, Matthias
N1 - Publisher Copyright: © 2018 ACM. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018
Y1 - 2018
N2 - Query suggestions are a standard means to clarify the intent of underspecified queries. In a voice-based search setting, the compilation of query suggestions is not straightforward, and user-centric research targeting query underspecification is lacking so far. Our paper analyses a specific type of ambiguous voice queries and studies the impact of various kinds of voice query clarifications offered by the system and its impact on user satisfaction. We conduct a user study that measures the satisfaction for clarifications that are explicitly invoked and presented by seven different methods. Our findings include that (1) user experience depends on language proficiency levels, (2) users are not dissatisfied when prompted for clarifications (in fact, enjoy it sometimes), and (3) the most effective way of query clarification depends on the number and lengths of the possible answers.
AB - Query suggestions are a standard means to clarify the intent of underspecified queries. In a voice-based search setting, the compilation of query suggestions is not straightforward, and user-centric research targeting query underspecification is lacking so far. Our paper analyses a specific type of ambiguous voice queries and studies the impact of various kinds of voice query clarifications offered by the system and its impact on user satisfaction. We conduct a user study that measures the satisfaction for clarifications that are explicitly invoked and presented by seven different methods. Our findings include that (1) user experience depends on language proficiency levels, (2) users are not dissatisfied when prompted for clarifications (in fact, enjoy it sometimes), and (3) the most effective way of query clarification depends on the number and lengths of the possible answers.
KW - Clarification
KW - Conversational search
KW - Personal assistants
KW - Query clarification
KW - Query disambiguation
KW - Voice queries
KW - Voice query
KW - Voice search
UR - http://www.scopus.com/inward/record.url?scp=85051522745&partnerID=8YFLogxK
U2 - 10.1145/3209978.3210160
DO - 10.1145/3209978.3210160
M3 - Conference contribution
AN - SCOPUS:85051522745
SP - 1257
EP - 1260
BT - 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018
PB - Association for Computing Machinery (ACM)
T2 - 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018
Y2 - 8 July 2018 through 12 July 2018
ER -