research-article

Recommender Systems for Personalized Gamification

Authors:

Gustavo F. Tondello,

Lennart E. NackeAuthors Info & Claims

UMAP '17: Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization

Pages 425 - 430

https://doi.org/10.1145/3099023.3099114

Published: 09 July 2017 Publication History

Abstract

Gamification has been used in a variety of application domains to promote behaviour change. Nevertheless, the mechanisms behind it are still not fully understood. Recent empirical results have shown that personalized approaches can potentially achieve better results than generic approaches. However, we still lack a general framework for building personalized gameful applications. To address this gap, we present a novel general framework for personalized gameful applications using recommender systems (i.e., software tools and technologies to recommend suggestions to users that they might enjoy). This framework contributes to understanding and building effective persuasive and gameful applications by describing the different building blocks of a recommender system (users, items, and transactions) in a personalized gamification context.

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Cited By

Anjos FOliveira HEstevam FVaz NMata LCarvalho S(2024)Analyzing the impact of gamification on a mHealth application for treating urinary incontinence in prostate cancer patientsJournal on Interactive Systems10.5753/jis.2024.419015:1(728-740)Online publication date: 19-Jul-2024
https://doi.org/10.5753/jis.2024.4190
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https://doi.org/10.4018/979-8-3693-0716-8.ch007
Kırmacı ÖKılıç Çakmak E(2024)The impact of scenario-based online gamified learning environment tailored to player types on student motivation, engagement, and environment ınteractionJournal of Research on Technology in Education10.1080/15391523.2024.2323447(1-20)Online publication date: 28-Mar-2024
https://doi.org/10.1080/15391523.2024.2323447
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Index Terms

Recommender Systems for Personalized Gamification
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User models
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Recommender systems
    2. Users and interactive retrieval
      1. Personalization

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Published In

cover image ACM Conferences

UMAP '17: Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization

July 2017

456 pages

ISBN:9781450350679

DOI:10.1145/3099023

Editors:
Marko Tkalcic
Free University of Bolzano
,
Dhaval Thakker
University of Leeds
,
Panagiotis Germanakos
SAP SE & University of Cyprus
,
Kalina Yacef
University of Sydney
,
Cecile Paris
CSIRO ICT Centre
,
Olga Santos
Spanish National University for Distance Education
,
General Chairs:
Maria Bielikova
Slovak University of Technology in Bratislava, Slovakia
,
Eelco Herder
L3S Research Center, Germany and Radboud Universiteit Nijmegen, The Netherlands
,
Program Chairs:
Michel Desmarais
Polytechnique University, Montreal, Canada
,
Federica Cena
University of Torino, Italy

Copyright © 2017 ACM.

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 the author(s) 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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Published: 09 July 2017

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UMAP '17: 25th Conference on User Modeling, Adaptation and Personalization

July 9 - 12, 2017

Bratislava, Slovakia

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Cited By

Anjos FOliveira HEstevam FVaz NMata LCarvalho S(2024)Analyzing the impact of gamification on a mHealth application for treating urinary incontinence in prostate cancer patientsJournal on Interactive Systems10.5753/jis.2024.419015:1(728-740)Online publication date: 19-Jul-2024
https://doi.org/10.5753/jis.2024.4190
Durán A(2024)Gamification in the Art WorldPractices and Implementation of Gamification in Higher Education10.4018/979-8-3693-0716-8.ch007(141-171)Online publication date: 26-Jan-2024
https://doi.org/10.4018/979-8-3693-0716-8.ch007
Kırmacı ÖKılıç Çakmak E(2024)The impact of scenario-based online gamified learning environment tailored to player types on student motivation, engagement, and environment ınteractionJournal of Research on Technology in Education10.1080/15391523.2024.2323447(1-20)Online publication date: 28-Mar-2024
https://doi.org/10.1080/15391523.2024.2323447
Alves PMartins ANegrão FNovais PAlmeida AMarreiros G(2024)Are heterogeinity and conflicting preferences no longer a problem? Personality-based dynamic clustering for group recommender systemsExpert Systems with Applications10.1016/j.eswa.2024.124812255(124812)Online publication date: Dec-2024
https://doi.org/10.1016/j.eswa.2024.124812
Elshoubashy HAbd Elkader HKhalifa N(2023)Empirical Study on Gamification Effect on Brand EngagementJournal of Organizational Behavior Research10.51847/sAorvxedSs8:1(297-318)Online publication date: 2023
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González-González CMuñoz-Cruz VToledo-Delgado PNacimiento-García E(2023)Personalized Gamification for Learning: A Reactive Chatbot Architecture ProposalSensors10.3390/s2301054523:1(545)Online publication date: 3-Jan-2023
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Pargal SDas DSahoo BMitra BChakraborty S(2023)GRIDS: Personalized Guideline Recommendations while Driving Through a New CityACM Transactions on Recommender Systems10.1145/36093372:2(1-28)Online publication date: 17-Jul-2023
https://dl.acm.org/doi/10.1145/3609337
Rodrigues LPalomino PToda AKlock APessoa MPereira FOliveira EOliveira DCristea AGasparini IIsotani S(2023)How Personalization Affects Motivation in Gamified Review AssessmentsInternational Journal of Artificial Intelligence in Education10.1007/s40593-022-00326-x34:2(147-184)Online publication date: 10-Jan-2023
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Alves PMartins HSaraiva PCarneiro JNovais PMarreiros G(2023)Group recommender systems for tourism: how does personality predict preferences for attractions, travel motivations, preferences and concerns?User Modeling and User-Adapted Interaction10.1007/s11257-023-09361-233:5(1141-1210)Online publication date: 15-May-2023
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Casillo MColace FMarongiu FSantaniello DValentino C(2023)Gamification in Cultural Heritage: When History Becomes SmARTImage Analysis and Processing - ICIAP 2023 Workshops10.1007/978-3-031-51026-7_33(387-397)Online publication date: 11-Sep-2023
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