Small data as a tool to predict player game design preferences: a qualitative pilot study

Catarina Vieira; Pedro Alves; Jorge Alves; André Perrotta

doi:10.62036/ISD.2023.52

Small data as a tool to predict player game design preferences: a qualitative pilot study

Catarina Vieira, Pedro Alves, Jorge Alves, André Perrotta

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Abstract

Videogames, besides a form of entertainment, can be of added value to purposes such as physical rehabilitation (serious games). In this context, custom made serious games may be of great value, especially if they combine the necessary actions that the user must perform with engaging and captivating gameplay. Given data protection and ethical constraints, assessing a patient’s gaming preferences and personal traits to predict preferred game design by big data from online social profiles is not possible. In this matter, we developed a questionnaire that tries to infer patients’ gaming preferences from limited personal information, which we denote as “Small Data”. The questionnaire was tested in a pilot study with 17 healthy participants and results suggest that the collected information may help decide what kind of videogame better suits a particular patient, potentially aiding the process of developing Serious Games for healthcare.

Original language	English
Title of host publication	Information systems development, organizational aspects and societal trends (ISD 2023 proceedings)
Editors	A. R. da Silva, M. M. da Silva, J. Estima, C. Barry, M. Lang, H. Linger, C. Schneider
Place of Publication	Lisboa
Publisher	Instituto Superior Técnico
Pages	1-11
Number of pages	11
ISBN (Print)	9789893355091
DOIs	https://doi.org/10.62036/ISD.2023.52
Publication status	Published - 2023
Event	31st International Conference on Information Systems Development - Lisboa, Portugal Duration: 30 Aug 2023 → 1 Sept 2023

Conference

Conference	31st International Conference on Information Systems Development
Country/Territory	Portugal
City	Lisboa
Period	30/08/23 → 1/09/23

Keywords

Serious game
Game design
Player type taxonomy
Video games

Access to Document

10.62036/ISD.2023.52Licence: Unspecified

92080491Final published version, 576 KBLicence: Unspecified

http://hdl.handle.net/10400.14/44322Licence: Unspecified

CITAR: Research Center for Science and Technology of the Arts
Vieira, E. (PI), Nobre da Silva Pais, A. M. (Other career/Public sector), Filipe, C. (Private Sector), Serra, S. (Assistant Professor), Baltazar, A. (Assistant Professor), Lobo, C. (Invited Assistant Professor), Carmona, C. R. (Assistant Professor), Sá, C. (Assistant Professor), Sousa, G. V. E. (Full Professor), Pereira, H. M. (Assistant Professor), Neves, J. (Invited Assistant Professor), Teixeira, J. (Invited Assistant Professor), Gomes, J. A. (Invited Assistant Professor), Carvalho, J. V. (Invited Assistant Professor), Castro, L. (Assistant Professor), Teixeira, L. (Assistant Professor), Aguiar, M. (Assistant Professor), Crespo, N. (Assistant Professor), Camarneiro, N. (Invited Assistant Professor), Costa, P. R. (Invited Assistant Professor), Pestana, P. D. (Invited Assistant Professor), Alves, P. (Invited Assistant Professor), Kunz, S. (Assistant Professor), Neves, S. (Invited Assistant Professor), Coutinho, V. M. (Invited Assistant Professor), Galán-Pérez, A. (Private Sector), Rangel, A. (Professor non-higher education), Natálio, C. (Researcher), Henriques, F. (Researcher), Afonso Lopes, M. I. (Private Sector), Bordalo, R. (Researcher) & Lammeren, S. R. L. V. (Researcher)
1/01/20 → 31/12/25
Project: Research

Cite this

Vieira, C., Alves, P., Alves, J., & Perrotta, A. (2023). Small data as a tool to predict player game design preferences: a qualitative pilot study. In A. R. D. Silva, M. M. D. Silva, J. Estima, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Information systems development, organizational aspects and societal trends (ISD 2023 proceedings) (pp. 1-11). Instituto Superior Técnico. https://doi.org/10.62036/ISD.2023.52

Vieira, Catarina ; Alves, Pedro ; Alves, Jorge et al. / Small data as a tool to predict player game design preferences : a qualitative pilot study. Information systems development, organizational aspects and societal trends (ISD 2023 proceedings). editor / A. R. da Silva ; M. M. da Silva ; J. Estima ; C. Barry ; M. Lang ; H. Linger ; C. Schneider. Lisboa : Instituto Superior Técnico, 2023. pp. 1-11

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abstract = "Videogames, besides a form of entertainment, can be of added value to purposes such as physical rehabilitation (serious games). In this context, custom made serious games may be of great value, especially if they combine the necessary actions that the user must perform with engaging and captivating gameplay. Given data protection and ethical constraints, assessing a patient{\textquoteright}s gaming preferences and personal traits to predict preferred game design by big data from online social profiles is not possible. In this matter, we developed a questionnaire that tries to infer patients{\textquoteright} gaming preferences from limited personal information, which we denote as “Small Data”. The questionnaire was tested in a pilot study with 17 healthy participants and results suggest that the collected information may help decide what kind of videogame better suits a particular patient, potentially aiding the process of developing Serious Games for healthcare.",

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author = "Catarina Vieira and Pedro Alves and Jorge Alves and Andr{\'e} Perrotta",

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Vieira, C, Alves, P, Alves, J & Perrotta, A 2023, Small data as a tool to predict player game design preferences: a qualitative pilot study. in ARD Silva, MMD Silva, J Estima, C Barry, M Lang, H Linger & C Schneider (eds), Information systems development, organizational aspects and societal trends (ISD 2023 proceedings). Instituto Superior Técnico, Lisboa, pp. 1-11, 31st International Conference on Information Systems Development, Lisboa, Portugal, 30/08/23. https://doi.org/10.62036/ISD.2023.52

Small data as a tool to predict player game design preferences: a qualitative pilot study. / Vieira, Catarina; Alves, Pedro; Alves, Jorge et al.
Information systems development, organizational aspects and societal trends (ISD 2023 proceedings). ed. / A. R. da Silva; M. M. da Silva; J. Estima; C. Barry; M. Lang; H. Linger; C. Schneider. Lisboa: Instituto Superior Técnico, 2023. p. 1-11.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Small data as a tool to predict player game design preferences

T2 - 31st International Conference on Information Systems Development

AU - Vieira, Catarina

AU - Alves, Pedro

AU - Alves, Jorge

AU - Perrotta, André

PY - 2023

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N2 - Videogames, besides a form of entertainment, can be of added value to purposes such as physical rehabilitation (serious games). In this context, custom made serious games may be of great value, especially if they combine the necessary actions that the user must perform with engaging and captivating gameplay. Given data protection and ethical constraints, assessing a patient’s gaming preferences and personal traits to predict preferred game design by big data from online social profiles is not possible. In this matter, we developed a questionnaire that tries to infer patients’ gaming preferences from limited personal information, which we denote as “Small Data”. The questionnaire was tested in a pilot study with 17 healthy participants and results suggest that the collected information may help decide what kind of videogame better suits a particular patient, potentially aiding the process of developing Serious Games for healthcare.

AB - Videogames, besides a form of entertainment, can be of added value to purposes such as physical rehabilitation (serious games). In this context, custom made serious games may be of great value, especially if they combine the necessary actions that the user must perform with engaging and captivating gameplay. Given data protection and ethical constraints, assessing a patient’s gaming preferences and personal traits to predict preferred game design by big data from online social profiles is not possible. In this matter, we developed a questionnaire that tries to infer patients’ gaming preferences from limited personal information, which we denote as “Small Data”. The questionnaire was tested in a pilot study with 17 healthy participants and results suggest that the collected information may help decide what kind of videogame better suits a particular patient, potentially aiding the process of developing Serious Games for healthcare.

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KW - Game design

KW - Player type taxonomy

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BT - Information systems development, organizational aspects and societal trends (ISD 2023 proceedings)

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A2 - Silva, M. M. da

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ER -

Vieira C, Alves P, Alves J, Perrotta A. Small data as a tool to predict player game design preferences: a qualitative pilot study. In Silva ARD, Silva MMD, Estima J, Barry C, Lang M, Linger H, Schneider C, editors, Information systems development, organizational aspects and societal trends (ISD 2023 proceedings). Lisboa: Instituto Superior Técnico. 2023. p. 1-11 doi: 10.62036/ISD.2023.52

Small data as a tool to predict player game design preferences: a qualitative pilot study

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Keywords

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Projects

CITAR: Research Center for Science and Technology of the Arts

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