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DC Field | Value | Language |
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dc.contributor.author | Lopes, Phil | - |
dc.contributor.author | Yannakakis, Georgios N. | - |
dc.date.accessioned | 2018-05-03T09:43:30Z | - |
dc.date.available | 2018-05-03T09:43:30Z | - |
dc.date.issued | 2014-10 | - |
dc.identifier.citation | Lopes, P., & Yannakakis, G. N. (2014). Investigating collaborative creativity via machine-mediated game blending. Tenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE, Raleigh, NC USA. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/29734 | - |
dc.description.abstract | Can the creativity of humans be enhanced through mutual cooperation, or is it a detriment to their own individual creativity? Although most artists are known for their artistic individuality, some of the best creative works were achieved through mutual collaborative efforts. This paper proposes the study of a game blending system capable of combining user- And machine-generated content from multiple users and creativity facets (e.g., audio, visuals, narrative) for the creation of complete games. Supported by mixed-initiative design tools and human computation (crowdsourcing), users create facet- specific content, while getting stimulated by other creations on different facets by other users. Our research will investigate the ability for machine input into the collaborative process to yield games of higher novelty and quality for players. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | AIIDE | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Level design (Computer science) | en_GB |
dc.subject | Computer games -- Design | en_GB |
dc.subject | Crowdsourcing | en_GB |
dc.title | Investigating collaborative creativity via machine-mediated game blending | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | Tenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment | en_GB |
dc.bibliographicCitation.conferenceplace | Raleigh, NC, USA, 03-07/10/2014 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
Appears in Collections: | Scholarly Works - InsDG |
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File | Description | Size | Format | |
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Investigating_collaborative_creativity_via_machine-mediated_game_blending_2014.pdf | 99.53 kB | Adobe PDF | View/Open |
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