Item

Purposeful Gaming & Socio-Computational Systems: A Citizen Science Design Case

Thumbnail Image

Fulltext URI

Document type

Additional Information

Date

2012

Authors

Journal Title

Journal ISSN

Volume Title

Source

Proceedings of the 2012 ACM International Conference on Supporting Group Work

Publisher

Association for Computing Machinery

Abstract

Citizen science is a form of social computation where members of the public are recruited to contribute to scientific investigations. Citizen-science projects often use web-based systems to support collaborative scientific activities, making them a form of computer-supported cooperative work. However, finding ways to attract participants and confirm the veracity of the data they produce are key issues in making such systems successful. We describe a series of web-based tools and games currently under development to support taxonomic classification of organisms in photographs collected by citizen-science projects. In the design science tradition, the systems are purpose-built to test hypotheses about participant motivation and techniques for ensuring data quality. Findings from preliminary evaluation and the design process itself are discussed.

Description

Prestopnik, Nathan; Crowston, Kevin (2012): Purposeful Gaming & Socio-Computational Systems: A Citizen Science Design Case. Proceedings of the 2012 ACM International Conference on Supporting Group Work. DOI: 10.1145/2389176.2389188. New York, NY, USA: Association for Computing Machinery. pp. 75–84. Sanibel Island, Florida, USA

Keywords

socio-computational systems, data quality, purposeful gaming motivation, citizen-science, engagement

Citation

DOI

10.1145/2389176.2389188

URI

URI

https://dl.eusset.eu/handle/20.500.12015/4915

Collections

GROUP 2012

Endorsement

Review

Supplemented By

Referenced By

Number of citations to item: 24

  • Kieran E. Storer, Jane P. Messina, Eva Herreros-Moya, Emery Metelo, Josué Zanga, Nono M. Mvuama, Soleil Muzinga, Rinita Dam, Marianne Sinka, Ivan Kiskin, Josh Everett, Yunpeng Li, Stephen Roberts, Katherine J. Willis (2024): What incentives encourage local communities to collect and upload mosquito sound data by using smartphones? A case study in the Democratic Republic of the Congo, doi:10.1101/2024.11.11.24316900
  • Alexandra Eveleigh, Charlene Jennett, Stuart Lynn, Anna L. Cox (2013): “I want to be a captain! I want to be a captain!”, In: Proceedings of the First International Conference on Gameful Design, Research, and Applications, doi:10.1145/2583008.2583019
  • Roman Lukyanenko, Jeffrey Parsons (2018): Beyond Micro-Tasks, In: Journal of Database Management 1(29), doi:10.4018/jdm.2018010101
  • Roman Lukyanenko, Jeffrey Parsons (2019): Beyond Micro-Tasks, In: Social Entrepreneurship, doi:10.4018/978-1-5225-8182-6.ch072
  • Tom August, Martin Harvey, Paula Lightfoot, David Kilbey, Timos Papadopoulos, Paul Jepson (2015): Emerging technologies for biological recording, In: Biological Journal of the Linnean Society 3(115), doi:10.1111/bij.12534
  • Caroline Jay, Robert Dunne, David Gelsthorpe, Markel Vigo (2016): To Sign Up, or not to Sign Up?, In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, doi:10.1145/2858036.2858319
  • Nathan R. Prestopnik, Jian Tang (2015): Points, stories, worlds, and diegesis: Comparing player experiences in two citizen science games, In: Computers in Human Behavior, doi:10.1016/j.chb.2015.05.051
  • Ans Vercammen, Mark Burgman (2019): Untapped potential of collective intelligence in conservation and environmental decision making, In: Conservation Biology 6(33), doi:10.1111/cobi.13335
  • Ljiljana Markovic, Adam Sofronijevic (2015): Building a Gamified System for Caputring MOOC Related Data: Smart City Learning Community as its Most Precious Source of Intangible Cultural Heritage, In: 2015 International Conference on Culture and Computing (Culture Computing), doi:10.1109/culture.and.computing.2015.45
  • Jerry Alan Fails, Katherine Herbert, Emily Hill, Andrew De Stefano, Brandon Hesse, Paul Cushman, Travis Gant, Syed Shah, Aliet Abreu-Cruz, Nikita Panchariya, Varsha Nimbagal (2015): Geotagger: A collaborative environmental inquiry platform, In: 2015 International Conference on Collaboration Technologies and Systems (CTS), doi:10.1109/cts.2015.7210453
  • Mordechai (Muki) Haklay, Suvodeep Mazumdar, Jessica Wardlaw (2018): Citizen Science for Observing and Understanding the Earth, In: Earth Observation Open Science and Innovation, doi:10.1007/978-3-319-65633-5_4
  • Mark Chandler, Linda See, Christina D. Buesching, Jenny A. Cousins, Chris Gillies, Roland W. Kays, Chris Newman, Henrique M. Pereira, Patricia Tiago (2016): Involving Citizen Scientists in Biodiversity Observation, In: The GEO Handbook on Biodiversity Observation Networks, doi:10.1007/978-3-319-27288-7_9
  • Nikita S. Panchariya, Andrew J. DeStefano, Varsha Nimbagal, Revathi Ragupathy, Serkan Yavuz, Katherine G. Herbert, Emily Hill, Jerry Alan Fails (2015): Current Developments in Big Data and Sustainability Sciences in Mobile Citizen Science Applications, In: 2015 IEEE First International Conference on Big Data Computing Service and Applications, doi:10.1109/bigdataservice.2015.64
  • Anne Bowser, Derek Hansen, Jennifer Preece, Yurong He, Carol Boston, Jen Hammock (2014): Gamifying citizen science, In: Proceedings of the companion publication of the 17th ACM conference on Computer supported cooperative work & social computing, doi:10.1145/2556420.2556502
  • Jennifer Preece (2016): Citizen Science: New Research Challenges for Human–Computer Interaction, In: International Journal of Human-Computer Interaction 8(32), doi:10.1080/10447318.2016.1194153
  • M Zevin, S Coughlin, S Bahaadini, E Besler, N Rohani, S Allen, M Cabero, K Crowston, A K Katsaggelos, S L Larson, T K Lee, C Lintott, T B Littenberg, A Lundgren, C Østerlund, J R Smith, L Trouille, V Kalogera (2017): Gravity Spy: integrating advanced LIGO detector characterization, machine learning, and citizen science, In: Classical and Quantum Gravity 6(34), doi:10.1088/1361-6382/aa5cea
  • Federico Bonetti, Sara Tonelli (2021): Measuring Orthogonal Mechanics in Linguistic Annotation Games, In: Proceedings of the ACM on Human-Computer Interaction CHI PLAY(5), doi:10.1145/3474692
  • Andrea Wiggins, Yurong He (2016): Community-based Data Validation Practices in Citizen Science, In: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, doi:10.1145/2818048.2820063
  • Roman Lukyanenko, Andrea Wiggins, Holly K. Rosser (2019): Citizen Science: An Information Quality Research Frontier, In: Information Systems Frontiers 4(22), doi:10.1007/s10796-019-09915-z
  • S. Martellos, J. Laganis, G. Bacaro, S. Bonacquisti, L. Derewnicka, F. Attorre (2016): Botanical gardens and citizen science: An (as yet) under-exploited potential, In: Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology 3(150), doi:10.1080/11263504.2016.1179234
  • Anne Bowser, Derek Hansen, Yurong He, Carol Boston, Matthew Reid, Logan Gunnell, Jennifer Preece (2013): Using gamification to inspire new citizen science volunteers, In: Proceedings of the First International Conference on Gameful Design, Research, and Applications, doi:10.1145/2583008.2583011
  • Roman Lukyanenko, Jeffrey Parsons (2019): Beyond Micro-Tasks, In: Crowdsourcing, doi:10.4018/978-1-5225-8362-2.ch076
  • Josh Aaron Miller, Seth Cooper (2022): Barriers to Expertise in Citizen Science Games, In: CHI Conference on Human Factors in Computing Systems, doi:10.1145/3491102.3517541
  • Vito D. P. Servedio, Saverio Caminiti, Pietro Gravino, Vittorio Loreto, Alina Sîrbu, Francesca Tria (2016): Large Scale Engagement Through Web-Gaming and Social Computations, In: Understanding Complex Systems, doi:10.1007/978-3-319-25658-0_12
Please note: Providing information about citations is only possible thanks to to the open metadata APIs provided by crossref.org and opencitations.net. These lists may be incomplete due to unavailable citation data.source: opencitations.net, crossref.org