IRVILAB: Gamified Searching on Multilingual Wikipedia

Paavo Arvola; Tuulikki Alamettälä

doi:10.1145/3477495.3531662

IRVILAB: Gamified Searching on Multilingual Wikipedia

Paavo Arvola, Tuulikki Alamettälä

Communication Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

20 Downloads (Pure)

Abstract

Information retrieval (IR) evaluation can be considered as a form of competition in matching documents and queries. This paper introduces a learning environment based on gamification of query construction for document retrieval, called IRVILAB (Information Retrieval Virtual Lab). The lab has modules for creating standard evaluation settings, one for topic creation including relevance assessments and another for performance evaluation of user queries. In addition, multilingual Wikipedia online collection enables a module, where relevance assessments are translated to other languages. The underlying game utilizes IR performance metrics to measure and give feedback on participants' information retrieval performance. It aims to improve participants' search skills, subject knowledge and contributes to science education by introducing an experimental method. Distinctive features of the system include algorithmic relevance assessments and automatic recall base translation.

Original language	English
Title of host publication	SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Publisher	ACM
Pages	3329-3333
Number of pages	5
ISBN (Electronic)	978-1-4503-8732-3
DOIs	https://doi.org/10.1145/3477495.3531662
Publication status	Published - 6 Jul 2022
Publication type	A4 Article in conference proceedings
Event	International ACM SIGIR Conference on Research and Development in Information Retrieval - Madrid, Spain Duration: 11 Jul 2022 → 15 Jul 2022

Conference

Conference	International ACM SIGIR Conference on Research and Development in Information Retrieval
Country/Territory	Spain
City	Madrid
Period	11/07/22 → 15/07/22

Keywords

gamification
iir
integrated learning of content and language (clil)
retrieval evaluation
serious gaming
technology-enhanced learning

Publication forum classification

Publication forum level 2

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Information Systems
Software

Access to Document

10.1145/3477495.3531662Licence: Unspecified

IRVILAB Gamified Searching
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Accepted author manuscript, 931 KB

https://urn.fi/URN:NBN:fi:tuni-202208096311Licence: Unspecified

Cite this

@inproceedings{6a895fff9aae40fd8f22b480e6932b6f,

title = "IRVILAB: Gamified Searching on Multilingual Wikipedia",

abstract = "Information retrieval (IR) evaluation can be considered as a form of competition in matching documents and queries. This paper introduces a learning environment based on gamification of query construction for document retrieval, called IRVILAB (Information Retrieval Virtual Lab). The lab has modules for creating standard evaluation settings, one for topic creation including relevance assessments and another for performance evaluation of user queries. In addition, multilingual Wikipedia online collection enables a module, where relevance assessments are translated to other languages. The underlying game utilizes IR performance metrics to measure and give feedback on participants' information retrieval performance. It aims to improve participants' search skills, subject knowledge and contributes to science education by introducing an experimental method. Distinctive features of the system include algorithmic relevance assessments and automatic recall base translation.",

keywords = "gamification, iir, integrated learning of content and language (clil), retrieval evaluation, serious gaming, technology-enhanced learning",

author = "Paavo Arvola and Tuulikki Alamett{\"a}l{\"a}",

note = "Funding Information: This paper was partially funded by the European Union Erasmus+ programme with grant number 2021-1-FI01-KA220-SCH-000029713. Publisher Copyright: {\textcopyright} 2022 ACM.; International ACM SIGIR Conference on Research and Development in Information Retrieval ; Conference date: 11-07-2022 Through 15-07-2022",

year = "2022",

month = jul,

day = "6",

doi = "10.1145/3477495.3531662",

language = "English",

pages = "3329--3333",

booktitle = "SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval",

publisher = "ACM",

address = "United States",

}

Arvola, P & Alamettälä, T 2022, IRVILAB: Gamified Searching on Multilingual Wikipedia. in SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, pp. 3329-3333, International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11/07/22. https://doi.org/10.1145/3477495.3531662

TY - GEN

T1 - IRVILAB

T2 - International ACM SIGIR Conference on Research and Development in Information Retrieval

AU - Arvola, Paavo

AU - Alamettälä, Tuulikki

PY - 2022/7/6

Y1 - 2022/7/6

N2 - Information retrieval (IR) evaluation can be considered as a form of competition in matching documents and queries. This paper introduces a learning environment based on gamification of query construction for document retrieval, called IRVILAB (Information Retrieval Virtual Lab). The lab has modules for creating standard evaluation settings, one for topic creation including relevance assessments and another for performance evaluation of user queries. In addition, multilingual Wikipedia online collection enables a module, where relevance assessments are translated to other languages. The underlying game utilizes IR performance metrics to measure and give feedback on participants' information retrieval performance. It aims to improve participants' search skills, subject knowledge and contributes to science education by introducing an experimental method. Distinctive features of the system include algorithmic relevance assessments and automatic recall base translation.

AB - Information retrieval (IR) evaluation can be considered as a form of competition in matching documents and queries. This paper introduces a learning environment based on gamification of query construction for document retrieval, called IRVILAB (Information Retrieval Virtual Lab). The lab has modules for creating standard evaluation settings, one for topic creation including relevance assessments and another for performance evaluation of user queries. In addition, multilingual Wikipedia online collection enables a module, where relevance assessments are translated to other languages. The underlying game utilizes IR performance metrics to measure and give feedback on participants' information retrieval performance. It aims to improve participants' search skills, subject knowledge and contributes to science education by introducing an experimental method. Distinctive features of the system include algorithmic relevance assessments and automatic recall base translation.

KW - gamification

KW - iir

KW - integrated learning of content and language (clil)

KW - retrieval evaluation

KW - serious gaming

KW - technology-enhanced learning

U2 - 10.1145/3477495.3531662

DO - 10.1145/3477495.3531662

M3 - Conference contribution

AN - SCOPUS:85135060654

SP - 3329

EP - 3333

BT - SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

PB - ACM

Y2 - 11 July 2022 through 15 July 2022

ER -

IRVILAB: Gamified Searching on Multilingual Wikipedia

Abstract

Conference

Keywords

Publication forum classification

ASJC Scopus subject areas

Access to Document

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Cite this