Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game-Reference-Cited by-同舟云学术

Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Balayn Agathe¹,He Gaole¹,Hu Andrea¹,Yang Jie¹,Gadiraju Ujwal¹

Affiliation:

1. Delft University of Technology, Netherlands

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3512241

Reference50 articles.

1. Development and validation of the player experience inventory: A scale to measure player experiences at the level of functional and psychosocial consequences

2. Hiba Arnaout , Simon Razniewski , Gerhard Weikum , and Jeff Z. Pan . 2021 . Negative Knowledge for Open-world Wikidata. In Companion of The Web Conference 2021 , Virtual Event / Ljubljana, Slovenia , April 19-23, 2021, Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, and Leila Zia (Eds.). ACM / IW3C2, 544–551. Hiba Arnaout, Simon Razniewski, Gerhard Weikum, and Jeff Z. Pan. 2021. Negative Knowledge for Open-world Wikidata. In Companion of The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021, Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, and Leila Zia (Eds.). ACM / IW3C2, 544–551.

3. Wikinegata

4. Agathe Balayn Gaole He Andrea Hu Jie Yang and Ujwal Gadiraju. 2021. FindItOut: A Multiplayer GWAP for Collecting Plural Knowledge. (2021). Agathe Balayn Gaole He Andrea Hu Jie Yang and Ujwal Gadiraju. 2021. FindItOut: A Multiplayer GWAP for Collecting Plural Knowledge. (2021).

5. Aditya Bikram Biswas , Hiba Arnaout , and Simon Razniewski . 2021 . Neguess: Wikidata-entity guessing game with negative clues. (2021). Aditya Bikram Biswas, Hiba Arnaout, and Simon Razniewski. 2021. Neguess: Wikidata-entity guessing game with negative clues. (2021).

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