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Towards a Generic eGuide Gamification Framework for Tourist Attractions

Published:23 October 2018Publication History

ABSTRACT

The paper introduces the key principles of a generic gamification framework for eGuide apps offered to visitors in tourist attractions of various kind. The framework is intended to make it easier to implement gamification in eGuides, reuse and adapt gamification scheme among different eGuides, as well as maintain and update gamified eGuides. The principles include separation of gamification layer, considering gamification rules to be a kind of eGuide content separate from the rule engine, distinction of shallow and deep gamification, standardized description of eGuide events and gamification rules, separation of rule requirements and results definitions, differentiation of rule types and easy editing of rules.

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      • Published in

        cover image ACM Conferences
        CHI PLAY '18 Extended Abstracts: Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts
        October 2018
        725 pages
        ISBN:9781450359689
        DOI:10.1145/3270316
        • General Chairs:
        • Florian 'Floyd' Mueller,
        • Daniel Johnson,
        • Ben Schouten,
        • Program Chairs:
        • Phoebe O. Toups Dugas,
        • Peta Wyeth

        Copyright © 2018 Owner/Author

        Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 23 October 2018

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        • Work in Progress

        Acceptance Rates

        CHI PLAY '18 Extended Abstracts Paper Acceptance Rate43of123submissions,35%Overall Acceptance Rate421of1,386submissions,30%

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