Data for: Towards a Model for Spoken Conversational Search

Main Author: Trippas, Johanne
Other Authors: Cavedon, Lawrence, Joho, Hideo, Thomas, Paul, Sanderson, Mark, Spina, Damiano
Format: Dataset
Terbitan: Mendeley , 2019
Subjects:
Online Access: https:/data.mendeley.com/datasets/nhjr4zybdt
ctrlnum 0.17632-nhjr4zybdt.1
fullrecord <?xml version="1.0"?> <dc><creator>Trippas, Johanne</creator><title>Data for: Towards a Model for Spoken Conversational Search</title><publisher>Mendeley</publisher><description>Conversation is the natural mode for information exchange in daily life, a spoken conversational interaction for search input and output is a logical format for information seeking. However, the conceptualisation of user&#x2013;system interactions or information exchange in spoken conversational search (SCS) has not been explored. The first step in conceptualising SCS is to understand the conversational moves used in an audio-only communication channel for search. This paper explores conversational actions for the task of search. We define a qualitative methodology for creating conversational datasets, propose analysis protocols, and develop the SCSdata. Furthermore, we use the SCSdata to create the first annotation schema for SCS: the SCoSAS, enabling us to investigate interactivity in SCS. We further establish that SCS needs to incorporate interactivity and pro-activity to overcome the complexity that the information seeking process in an audio-only channel poses. In summary, this exploratory study unpacks the breadth of SCS. Our results highlight the need for integrating discourse in future SCS models and contributes the advancement in the formalisation of SCS models and the design of SCS systems.</description><subject>Information Retrieval</subject><subject>Information Seeking</subject><contributor>Cavedon, Lawrence</contributor><contributor>Joho, Hideo</contributor><contributor>Thomas, Paul</contributor><contributor>Sanderson, Mark</contributor><contributor>Spina, Damiano</contributor><type>Other:Dataset</type><identifier>10.17632/nhjr4zybdt.1</identifier><rights>Attribution-NonCommercial 3.0 Unported</rights><rights>https://creativecommons.org/licenses/by-nc/3.0</rights><relation>https:/data.mendeley.com/datasets/nhjr4zybdt</relation><date>2019-11-07T12:38:59Z</date><recordID>0.17632-nhjr4zybdt.1</recordID></dc>
format Other:Dataset
Other
author Trippas, Johanne
author2 Cavedon, Lawrence
Joho, Hideo
Thomas, Paul
Sanderson, Mark
Spina, Damiano
title Data for: Towards a Model for Spoken Conversational Search
publisher Mendeley
publishDate 2019
topic Information Retrieval
Information Seeking
url https:/data.mendeley.com/datasets/nhjr4zybdt
contents Conversation is the natural mode for information exchange in daily life, a spoken conversational interaction for search input and output is a logical format for information seeking. However, the conceptualisation of user–system interactions or information exchange in spoken conversational search (SCS) has not been explored. The first step in conceptualising SCS is to understand the conversational moves used in an audio-only communication channel for search. This paper explores conversational actions for the task of search. We define a qualitative methodology for creating conversational datasets, propose analysis protocols, and develop the SCSdata. Furthermore, we use the SCSdata to create the first annotation schema for SCS: the SCoSAS, enabling us to investigate interactivity in SCS. We further establish that SCS needs to incorporate interactivity and pro-activity to overcome the complexity that the information seeking process in an audio-only channel poses. In summary, this exploratory study unpacks the breadth of SCS. Our results highlight the need for integrating discourse in future SCS models and contributes the advancement in the formalisation of SCS models and the design of SCS systems.
id IOS7969.0.17632-nhjr4zybdt.1
institution Universitas Islam Indragiri
affiliation onesearch.perpusnas.go.id
institution_id 804
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library
library Teknologi Pangan UNISI
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collection Artikel mulono
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province RIAU
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repoId IOS7969
first_indexed 2020-04-08T08:11:35Z
last_indexed 2020-04-08T08:11:35Z
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