The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Input-agreement
Abstract
Since its introduction at CHI 2004, the ESP Game has inspired many similar games that share the goal of gathering data from players. This paper introduces a new mechanism for collecting labeled data using "games with a purpose." In this mechanism, players are provided with either the same or a different object, and asked to describe that object to each other. Based on each other's descriptions, players must decide whether they have the same object or not. We explain why this new mechanism is superior for input data with certain characteristics, introduce an enjoyable new game called "TagATune" that collects tags for music clips via this mechanism, and present findings on the data that is collected by this game.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
Labeling images with a computer game
von Ahn, L., & Dabbish, L. (2004) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/985692.985733 · Cited by 2,234
Designing games with a purpose
von Ahn, L., & Dabbish, L. (2008) · Communications of the ACM · doi:10.1145/1378704.1378719 · Cited by 1,186
von Ahn, L. (2006) · Computer · doi:10.1109/mc.2006.196 · Cited by 968
Social Tagging and Music Information Retrieval
Lamere, P. (2008) · Journal of New Music Research · doi:10.1080/09298210802479284 · Cited by 280
Games with a Purpose for the Semantic Web
Siorpaes, K., & Hepp, M. F. (2008) · IEEE Intelligent Systems · doi:10.1109/mis.2008.45 · Cited by 215
Tagatune: A Game For Music And Sound Annotation.
Law, E., von Ahn, L., Dannenberg, R. B., & Crawford, M. (2007) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.1415567 · Cited by 195
Self-citationHacker, S., & von Ahn, L. (2009) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1518882 · Cited by 142
A Web-Based Game for Collecting Music Metadata
Mandel, M., & Ellis, D. P. W. (2008) · Journal of New Music Research · doi:10.1080/09298210802479300 · Cited by 129
Moodswings: A Collaborative Game For Music Mood Label Collection.
Kim, Y. E., Schmidt, E. M., & Emelle, L. (2008) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.1416585 · Cited by 106
A Game-Based Approach For Collecting Semantic Annotations Of Music.
Turnbull, D., Liu, R., Barrington, L., & Lanckriet, G. R. G. (2007) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.1416463 · Cited by 98
Cited by
Sorted by citations
Items 101–200 of 258
Oliver, J. L., Türkay, S., Brereton, M. F., Watson, D. M., & Roe, P. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445390 · Cited by 15
Makris, D., Karydis, I., & Sioutas, S. (2015) · International Conference on Engineering Applications of Neural Networks · doi:10.1145/2797143.2797175 · Cited by 15
Learning Localized Perceptual Similarity Metrics for Interactive Categorization
Wah, C., Maji, S., & Belongie, S. (2015) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv.2015.73 · Cited by 14
Law, E., Mityagin, A., & Chickering, M. (2009) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1520340.1520575 · Cited by 14
Self-citationAn Experimental Comparison of Similarity Adaptation Approaches
Stober, S., & Nürnberger, A. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-37425-8_8 · Cited by 14
Forlines, C., Miller, S. M., Guelcher, L., & Bruzzi, R. (2014) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2556288.2556967 · Cited by 13
Five design challenges for human computation
Reeves, S., & Sherwood, S. (2010) · Nordic Conference on Human-Computer Interaction · doi:10.1145/1868914.1868959 · Cited by 13
Effect of Timer, Top Score and Leaderboard on Performance and Motivation in a Human Computing Game
Matin, A., Maduro, M., Pereira, R. D. L., & Tremblay-Savard, O. (2020) · International Conference on the Foundations of Digital Games (FDG) · doi:10.1145/3402942.3403000 · Cited by 13
Alonso, O. (2019) · Synthesis lectures on information concepts, retrieval, and services · doi:10.1007/978-3-031-02318-7 · Cited by 12
Prediction markets as a vital part of collective intelligence
Palak, R., & Nguyên, N. T. (2017) · International Conference on Innovations in Intelligent Systems and Applications (INISTA) · doi:10.1109/inista.2017.8001146 · Cited by 12
New Trends In Musical Genre Classification Using Optimum-Path Forest.
Marques, C. M., Guilherme, I. R., Nakamura, R. Y. M., & Papa, J. P. (2011) · UNESP Institutional Repository (São Paulo State University) · doi:10.5281/zenodo.1417656 · Cited by 12
Schedl, M., Stober, S., Gómez, E., Orio, N., & Liem, C. C. S. (2012) · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · doi:10.4230/dfu.vol3.11041.135 · Cited by 12
Social Cues, Social Biases: Stereotypes in Annotations on People Images
Otterbacher, J. (2018) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing · doi:10.1609/hcomp.v6i1.13320 · Cited by 12
Crowdsourcing with semantic differentials: a game to investigate the meaning of form
Müller, R., Thoring, K., & Oostinga, R. (2010) · University of Twente Research Information · Cited by 11
Pinto, J., & Viana, P. (2013) · ACM International Workshop on Immersive Media Experiences (ImmersiveMe) · doi:10.1145/2512142.2512154 · Cited by 11
Rainer, B., Petscharnig, S., Timmerer, C., & Hellwagner, H. (2015) · International Conference on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex.2015.7148107 · Cited by 10
A Systematic Comparison of Music Similarity Adaptation Approaches
Wolff, D., Stober, S., Nürnberger, A., & Weyde, T. (2012) · City Research Online (City University London) · doi:10.5072/zenodo.242920 · Cited by 10
Gomes, J. M. A., Chambel, T., & Langlois, T. (2013) · European Conference on Interactive TV and Video (EuroITV) · doi:10.1145/2465958.2465979 · Cited by 10
A Perceptual Study on Music Segmentation and Genre Classification
Sanden, C., Befus, C. R., & Zhang, J. Z. (2012) · Journal of New Music Research · doi:10.1080/09298215.2012.666556 · Cited by 10
Multivariate Autoregressive Mixture Models For Music Auto-Tagging.
Coviello, E., Vaizman, Y., Chan, A. B., & Lanckriet, G. R. G. (2012) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.1416639 · Cited by 10
From Improved Auto-Taggers to Improved Music Similarity Measures
Seyerlehner, K., Schedl, M., Sonnleitner, R., Hauger, D., & Ionescu, B. E. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-12093-5_11 · Cited by 10
A framework for exploring and evaluating mechanics in human computation games
Siu, K., Zook, A., & Riedl, M. O. (2017) · International Conference on the Foundations of Digital Games (FDG) · doi:10.1145/3102071.3106344 · Cited by 10
Incentive-Centric Semantic Web Application Engineering
Simperl, E. P. B., Cuel, R., & Stein, M. (2013) · Synthesis lectures on the semantic web · doi:10.2200/s00460ed1v01y201212wbe004 · Cited by 10
Makris, D., Kermanidis, K. L., & Karydis, I. (2014) · Lecture notes in computer science · doi:10.1007/978-3-662-44722-2_18 · Cited by 10
The design of puzzle selection strategies for GWAP systems
Chen, L., Wang, B.-C., & Chen, K.-T. (2010) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.1560 · Cited by 10
Zhao, J., Li, Y., Li, W., & Yoshii, K. (2026) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp55912.2026.11463289 · Cited by 9
Fejfar, J., Šťastný, J., & Cepl, M. (2013) · Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis · doi:10.11118/actaun201260020069 · Cited by 9
Devlin, S., Cowling, P., Kudenko⋆, D., Goumagias, N. D., Nucciarelli, A., Cabras, I., Fernandes, K. J., & Li, F. (2014) · IEEE Conference on Computational Intelligence and Games (CIG) · doi:10.1109/cig.2014.6932917 · Cited by 9
A Survey and Typology of Human Computation Games
Pe‐Than, E. P. P., Goh, D. H., & Lee, C. S. (2012) · International Conference on Information Technology: New Generations · doi:10.1109/itng.2012.124 · Cited by 9
On the Verification Complexity of Group Decision-Making Tasks
Amir, O., D, Y. S. M., Gal, K., & Ilany, L. (2013) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing · doi:10.1609/hcomp.v1i1.13072 · Cited by 9
Correctness assessment of a crowdcoding project in a computer programming introductory course
Ferrán, S., Beghelli, A., Huerta‐Cánepa, G., & Jensen, F. (2017) · Computer Applications in Engineering Education · doi:10.1002/cae.21868 · Cited by 9
News Ninja: Gamified Annotation of Linguistic Bias in Online News
Hinterreiter, S., Spinde, T., Oberdörfer, S., Echizen, I., & Latoschik, M. E. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3677092 · Cited by 8
A Framework for Recommending Collections.
Golbeck, J., & Hansen, D. L. (2011) · Cited by 8
Ranjan, A., Behera, V. N. J., & Reza, M. (2022) · Studies in computational intelligence · doi:10.1007/978-3-030-92245-0_10 · Cited by 8
Poplin, A. (2020) · Journal of Urban Planning and Development · doi:10.1061/(asce)up.1943-5444.0000552 · Cited by 8
Krause, M., & Smeddinck, J. D. (2012) · IGI Global eBooks · doi:10.4018/978-1-4666-0149-9.ch053 · Cited by 8
Collaborative Solving in a Human Computing Game Using a Market, Skills and Challenges
Tremblay-Savard, O., Butyaev, A., & Waldispühl, J. (2016) · Annual Symposium on Computer-Human Interaction in Play · doi:10.1145/2967934.2968104 · Cited by 8
Vito, D. (2017) · Research for development · doi:10.1007/978-3-319-61988-0_10 · Cited by 8
Geoshuffle: Location-Aware, Content-Based Music Browsing Using Self-Organizing Tag Clouds.
Miller, S., Reimer, P. N., Ness, S. R., & Tzanetakis, G. (2010) · doi:10.5281/zenodo.1417702 · Cited by 7
Odd Leaf Out: Improving Visual Recognition with Games
Hansen, D. L., Jacobs, D. W., Lewis, D., Biswas, A., Preece, J., Rotman, D., & Stevens, E. (2011) · International Conference on Social Computing · doi:10.1109/passat/socialcom.2011.225 · Cited by 7
Audio data classification by means of new algorithms
Šťastný, J., Škorpil, V., & Fejfar, J. (2013) · International Conference on Telecommunications and Signal Processing (TSP) · doi:10.1109/tsp.2013.6613984 · Cited by 7
Prestopnik, N. R., & Souid, D. (2013) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2468356.2479484 · Cited by 7
Xu, H., Wei, W., Qi, Y., & Qi, S. (2022) · Wireless Communications and Mobile Computing · doi:10.1155/2022/7033626 · Cited by 7
Design science in human-computer interaction a model and three examples
Zhang, P., & Prestopnik, N. R. (2013) · ProQuest LLC eBooks · Cited by 6
Thøgersen, R. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-41347-6_10 · Cited by 6
Gamification of private digital data archive management
Maltzahn, C., Jhala, A. H., Mateas, M., & Whitehead, J. (2014) · doi:10.1145/2594776.2594783 · Cited by 6
Bashirieh, S., Mesbah, S., Redi, J., Bozzon, A., Szlávik, Z., & Sips, R.-J. (2017) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/3079628.3079692 · Cited by 6
Designing Systems with Homo Ludens in the Loop
Krause, M. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8806-4_31 · Cited by 6
Kim, N. W., Lee, C. W., Jung, J., Ko, E.-Y., Kim, J., & Kim, J. (2015) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2702613.2732932 · Cited by 6
Banks, S., Rafter, R., & Smyth, B. (2015) · ACM Conference on Recommender Systems (RecSys) · doi:10.1145/2792838.2799675 · Cited by 5
Krause, M., & Porzel, R. (2013) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2468356.2468386 · Cited by 5
Bodhi: Detecting Buffer Overflows with a Game
Chen, J., & Mao, X. (2012) · IEEE International Conference on Software Security and Reliability Companion · doi:10.1109/sere-c.2012.35 · Cited by 5
Research Directions for Pushing Harnessing Human Computation to Mainstream Video Games
Hall, J., Jamieson, P., & Grace, L. (2014) · Cited by 5
A Card Game for Collecting Human-Perceived Similarity Data of Artwork Images
Wei, Z., Paliyawan, P., & Thawonmas, R. (2022) · IEEE Access · doi:10.1109/access.2022.3142725 · Cited by 5
Modeling End-Users as Contributors in Human Computation Applications
Karam, R., Fraternali, P., Bozzon, A., & Galli, L. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33609-6_3 · Cited by 5
Pearl, L., & Enverga, I. (2014) · Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems · doi:10.1075/is.15.3.01pea · Cited by 5
Human-Assisted Computation for Auto-Grading
Ling, L., & Tan, C. W. (2018) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw.2018.00059 · Cited by 5
The Design of Puzzle Selection Strategies for ESP-Like GWAP Systems
Chen, L., Wang, B.-C., & Zhu, W.-Y. (2010) · IEEE Transactions on Computational Intelligence and AI in Games · doi:10.1109/tciaig.2010.2049846 · Cited by 5
Time series clustering in large data sets
Fejfar, J., & Šťastný, J. (2014) · Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis · doi:10.11118/actaun201159020075 · Cited by 4
Music Genre Classification Using LSTM and CNN
Samuel Wycliffe, J., M, P. K. R., Praveen Kanth, K., & Prasanna, J. (2023) · International Conference on Pervasive Computing and Social Networking (ICPCSN) · doi:10.1109/icpcsn58827.2023.00039 · Cited by 4
A Human Computation Framework for Boosting Combinatorial Solvers
Bras, R. J. L., Xue, Y., Bernstein, R. J., Gomes, C., & Selman, B. (2014) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing · doi:10.1609/hcomp.v2i1.13155 · Cited by 4
Large-Scale Pattern Discovery in Music
Bertin-Mahieux, T. (2013) · doi:10.7916/d8nc67ct · Cited by 4
Human-Computer Interaction Issues in Human Computation
Reeves, S. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8806-4_32 · Cited by 4
Search and Discovery Through Human Computation
Lin, A. Y.-M., Huynh, A. L. H., Barrington, L., & Lanckriet, G. R. G. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8806-4_16 · Cited by 4
Games for Fairness and Interpretability
Chu, E., Gillani, N., & Makini, S. P. (2020) · International World Wide Web Conference (WWW) · doi:10.1145/3366424.3384374 · Cited by 4
Bainbridge, D. (2015) · International Conference on Digital Libraries for Musicology (DLfM) · doi:10.1145/2785527.2785529 · Cited by 4
Robust processing of noisy web-collected data
Bloem, J., Regneri, M., & Thater, S. (2012) · Cited by 4
Adapting similarity on the MagnaTagATune database
Wolff, D., & Weyde, T. (2012) · International World Wide Web Conference (WWW) · doi:10.1145/2187980.2188225 · Cited by 4
Building a sentiment corpus using a gamified framework
Tiam-Lee, T. J., & See, S. (2014) · International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management · doi:10.1109/hnicem.2014.7016215 · Cited by 4
Rating Worker Skills and Task Strains in Collaborative Crowd Computing: A Competitive Perspective
Trimponias, G., Ma, X., & Yang, Q. (2019) · International World Wide Web Conference (WWW) · doi:10.1145/3308558.3313569 · Cited by 4
Vajda, P., Ivanov, I., Lee, J., & Ebrahimi, T. (2011) · International Journal of Computer Games Technology · doi:10.1155/2011/706893 · Cited by 3
Obtaining Rephrased Microtask Questions from Crowds
Hayashi, R., Shimizu, N., & Morishima, A. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-47874-6_23 · Cited by 3
Walk Like an Egyptian: A Serious, Pervasive Mobile Game for Tourism.
Gabr, F. M., & Abdennadher, S. (2015) · International Association for Development of the Information Society · Cited by 3
The Application of Crowdsourcing and Games to Information Retrieval.
Harris, C. G. (2012) · Bull. IEEE Tech. Comm. Digit. Libr. · Cited by 3
Crowdsourcing digital cultural heritage
Zlodi, G., & Ivanjko, T. (2013) · ODRAZ (University of Zagreb Faculty of Humanities and SocialSciences) · Cited by 3
A game with a purpose for annotating Greek folk music in a web content management system
Giouvanakis, E., Kotropoulos, C. L., Theodoridis, A., & Pitas, I. (2013) · IEEE International Conference on Digital Signal Processing (DSP) · doi:10.1109/icdsp.2013.6622715 · Cited by 3
Harnessing Crowdsourced Recommendation Preference Data from Casual Gameplay
Smyth, B., Rafter, R., & Banks, S. (2016) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/2930238.2930260 · Cited by 3
Trees with Soft Nodes: A New Approach to the Construction of Prediction Trees from Data
Ciampi, A. (2011) · Chapman & Hall/CRC eBooks · doi:10.1201/b11429-20 · Cited by 3
"C'mon - You Should Read This": Automatic Identification of Tone from Language Text
Pearl, L., & Mark Steyvers, B. (2013) · Cited by 3
Retracted: Bi-Directional Long Short-Term Memory Neural Networks for Music Composition
Shetty, S., & Dalal, S. (2022) · International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) · doi:10.1109/icerect56837.2022.10060743 · Cited by 3
RetractedA Survey of Incentives and Mechanism Design for Human Computation SystemsPreprint
Liu, Y., & Miao, C. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1602.03277 · Cited by 3
A Method for Assessing User-generated Tests for Online Courses Exploiting Crowdsourcing Concept
Elsayed, G., & Inoue, S. (2014) · International Workshop on Web Intelligence and Smart Sensing (IWWISS) · doi:10.1145/2637064.2637102 · Cited by 2
Exploiting Social Media for Music Information Retrieval
Schedl, M. (2012) · Computer communications and networks · doi:10.1007/978-1-4471-4555-4_20 · Cited by 2
A Generation Gap Model for a Human-Based Evolutionary Algorithm Using a Tag Cloud
Masatomo, A., & Ohnishi, K. (2016) · Joint International Conference on Soft Computing and Intelligent Systems and International Symposium on Advanced Intelligent Systems (SCIS&ISIS) · doi:10.1109/scis-isis.2016.0191 · Cited by 2
Algorithms for time series comparison
Fejfar, J., Motyčka, A., & Filípek, Š. (2011) · Cited by 2
An analytical model for generalized ESP games
Wang, B.-C., Lin, C., Chen, K.-T., & Chen, L. (2011) · Knowledge-Based Systems · doi:10.1016/j.knosys.2011.08.009 · Cited by 2
Utilizing human processing for fuzzy-based military situation awareness based on social media
Miao, S. J., & Tang, Z. (2017) · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · doi:10.1109/fuzz-ieee.2017.8015709 · Cited by 2
Creating audio based experiments as social Web games with the CASimIR framework
Wolff, D., Bellec, G., Friberg, A., MacFarlane, A., & Weyde, T. (2014) · Cited by 2
On Recovering Structure of Affect
Kapoor, A., Czerwinski, M. P., Maclean, D. L., & Zolotovitski, A. (2013) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii.2013.79 · Cited by 2
Kermanidis, K. L., Μaragoudakis, M., & Vosinakis, S. (2015) · International Conference on Engineering Applications of Neural Networks · doi:10.1145/2797143.2797174 · Cited by 2
Exploiting Puzzle Diversity in Puzzle Selection for ESP-Like GWAP Systems
Syu, Y.-S., Yu, H.-H., & Chen, L. (2010) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iat.2010.18 · Cited by 2
Quality assurance in document conversion
Becker, C. (2011) · doi:10.1145/2064058.2064061 · Cited by 2
Personalized Music Recommendation in a Mobile Environment
Schabetsberger, C., & Schedl, M. (2013) · International Conference on Advances in Mobile Computing and Multimedia (MoMM) · doi:10.1145/2536853.2536946 · Cited by 2
Input evaluation: A new mechanism for collecting data using games with a purpose
Gencer, A. E., Güngör, T., Gürer, A., & Özsoy, A. S. (2012) · Signal Processing and Communications Applications Conference (SIU) · doi:10.1109/siu.2012.6204435 · Cited by 2
In search of a perceptual basis for interacting with parametric images
Hepting, D. H., Latifi, L., & Oriet, C. (2009) · Creativity and Cognition · doi:10.1145/1640233.1640309 · Cited by 2
Comparative Music Similarity Modelling Using Transfer Learning Across User Groups.
Wolff, D., MacFarlane, A., & Weyde, T. (2015) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.1417834 · Cited by 2
Characterizing music in multimedia contexts via user scene descriptions
Liem, C. C. S., Larson, M., & Hanjalić, A. (2013) · Cited by 2
Human factors in agile software development
Lin, J. (2015) · DR-NTU (Nanyang Technological University) · doi:10.32657/10356/65525 · Cited by 2
Apport du jeu pour la construction de connaissances : le projet JeuxDeMots
Lafourcade, M., & Brun, N. L. (2023) · Technologie et innovation · doi:10.21494/iste.op.2023.0977 · Cited by 1
Feature Preprocessing with Restricted Boltzmann Machines for Music Similarity Learning
Tran, S. N., Wolff, D., Weyde, T., & Garcez, A. D. (2014) · Figshare · Cited by 1
Metadata
- Authors
- Law, E., & von Ahn, L.
- Affiliations
- Carnegie Mellon University (US)
- Carnegie Mellon University, Pittsburgh, PA, USA
- ORCID
- Law, Edith
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2009-04-04
- Pages
- 1197-1206
- OpenAlex
- W2067329295
- Semantic Scholar
- 72dd231084d2fee5c31343b395ae372b68389ba9
- Cited by
- 248
- References
- 12
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 5 · 2022: 5 · 2021: 2 · 2020: 6 · 2019: 12 · 2018: 9 · 2017: 14 · 2016: 18 · 2015: 19 · 2014: 29 · 2013: 37 · 2012: 32
- FWCI
- 30.05
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) (publishedVersion)
- Funders
- Heinz Endowments
- Intel Corporation
- Microsoft Research
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational Games and Gamification
- Social Sciences › Decision Sciences › Management Science and Operations Research › Game Theory and Applications
- Keywords
- games with a purpose, crowdsourcing, music tagging, object identification, collaborative games
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
