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Curator: a game with a purpose for collection recommendation

Published: 10 April 2010 Publication History

Abstract

Collection recommender systems suggest groups of items that work well as a whole. The interaction effects between items is an important consideration, but the vast space of possible collections makes it difficult to analyze. In this paper, we present a class of games with a purpose for building collections where users create collections and, using an output agreement model, they are awarded points based on the collections that match. The data from these games will help researchers develop guidelines for collection recommender systems among other applications. We conducted a pilot study of the game prototype which indicated that it was fun and challenging for users, and that the data obtained had the characteristics necessary to gain insights into the interaction effects among items. We present the game and these results followed by a discussion of the next steps necessary to bring games to bear on the problem of creating harmonious groups.

References

[1]
Hacker, S., and von Ahn, L. Matchin: eliciting user preferences with an online game. In CHI '09: Proceedings of the 27th international conference on Human factors in computing systems (New York, NY, USA, 2009), ACM, pp. 1207--1216.
[2]
Hansen, D. L., and Golbeck, J. Mixing it up: recommending collections of items. In CHI '09: Proceedings of the 27th international conference on Human factors in computing systems (New York, NY, USA, 2009), ACM, pp. 1217--1226.
[3]
Law, E., and von Ahn, L. Input-agreement: a new mechanism for collecting data using human computation games. In Proceedings of CHI '09 (New York, NY, USA, 2009), ACM, pp. 1197--1206.
[4]
von Ahn, L., and Dabbish, L. Designing games with a purpose. Commun. ACM 51, 8 (2008), 58--67.
[5]
von Ahn, L., Liu, R., and Blum, M. Peekaboom: a game for locating objects in images. In CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems (New York, NY, USA, 2006), ACM, pp. 55--64.

Cited By

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  • (2021)Automatic Collection Creation and RecommendationProceedings of the 15th ACM Conference on Recommender Systems10.1145/3460231.3478865(633-638)Online publication date: 13-Sep-2021
  • (2020)Effect of Timer, Top Score and Leaderboard on Performance and Motivation in a Human Computing GameProceedings of the 15th International Conference on the Foundations of Digital Games10.1145/3402942.3403000(1-10)Online publication date: 15-Sep-2020
  • (2019)The recommender canvasExpert Systems with Applications: An International Journal10.1016/j.eswa.2019.04.001129:C(97-117)Online publication date: 1-Sep-2019
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    cover image ACM Conferences
    CHI '10: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    April 2010
    2690 pages
    ISBN:9781605589299
    DOI:10.1145/1753326
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 10 April 2010

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    Author Tags

    1. games with a purpose
    2. human computation
    3. recommender systems
    4. serious games

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    Cited By

    View all
    • (2021)Automatic Collection Creation and RecommendationProceedings of the 15th ACM Conference on Recommender Systems10.1145/3460231.3478865(633-638)Online publication date: 13-Sep-2021
    • (2020)Effect of Timer, Top Score and Leaderboard on Performance and Motivation in a Human Computing GameProceedings of the 15th International Conference on the Foundations of Digital Games10.1145/3402942.3403000(1-10)Online publication date: 15-Sep-2020
    • (2019)The recommender canvasExpert Systems with Applications: An International Journal10.1016/j.eswa.2019.04.001129:C(97-117)Online publication date: 1-Sep-2019
    • (2018)The Inclusion of Gamification Solutions to Enhance User Enjoyment on Crowdsourcing Platforms2018 First Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia)10.1109/ACIIAsia.2018.8470330(1-6)Online publication date: May-2018
    • (2017)Draw-and-Guess: A mobile game with a purpose for drawing base image retrieval2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)10.1109/ICMEW.2017.8026305(202-207)Online publication date: Jul-2017
    • (2017)Cognitive learning recommendation system in Indian context2017 5th National Conference on E-Learning & E-Learning Technologies (ELELTECH)10.1109/ELELTECH.2017.8074988(1-6)Online publication date: Aug-2017
    • (2017)CollegeCare: A location-based game for university maintenance2017 5th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)10.1109/CFIS.2017.8003661(75-80)Online publication date: Mar-2017
    • (2016)Harnessing Crowdsourced Recommendation Preference Data from Casual GameplayProceedings of the 2016 Conference on User Modeling Adaptation and Personalization10.1145/2930238.2930260(95-104)Online publication date: 13-Jul-2016
    • (2015)Deterring Cheating in Online EnvironmentsACM Transactions on Computer-Human Interaction10.1145/281023922:6(1-23)Online publication date: 24-Sep-2015
    • (2015)The Recommendation GameProceedings of the 9th ACM Conference on Recommender Systems10.1145/2792838.2799675(305-308)Online publication date: 16-Sep-2015
    • Show More Cited By

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