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Persona Finetuning for Online Gaming Using Personalisation Techniques

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HCI International 2022 - Late Breaking Papers. Interaction in New Media, Learning and Games (HCII 2022)

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Abstract

Automatic persona generation has been shown to have specific measurable benefits for application creators and users. In most situations, personas are adequately descriptive and diversified to achieve user type accuracy and coverage. For specific market segments, such as online gaming, using personas may accurately describe existing user base but not changing habit and need that are introduced by the fluidity of the offerings and the delivery methods. Changes in the ways that applications are marketed, such as new payment methods, for example, subscription models, pay-to-play and pay-to-win, payment-driven-gamification, seriously affect user needs and result in direct impact on user acceptance. This work utilises structured user needs from online gaming players to augment personas using personalisation techniques. The personas are finetuned and de-diversified to result in concise personas, based on user needs that successfully convey information for creators and users alike.

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Authors and Affiliations

  1. Department of Management Science and Technology, University of the Peloponnese, Tripoli, Greece

    Dimitris Spiliotopoulos

  2. Department of Digital Systems, University of the Peloponnese, Sparta, Greece

    Dionisis Margaris, Kostas N. Koutrakis & Panos I. Philippopoulos

  3. Department of Informatics and Telecommunications, University of the Peloponnese, Tripoli, Greece

    Costas Vassilakis

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  1. Dimitris Spiliotopoulos
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  2. Dionisis Margaris
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  4. Panos I. Philippopoulos
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  5. Costas Vassilakis
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Correspondence to Dimitris Spiliotopoulos .

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Editors and Affiliations

  1. Computer and Information Sciences, Towson University, Towson, MD, USA

    Gabriele Meiselwitz

  2. San Jose State University, San Jose, CA, USA

    Abbas Moallem

  3. Department of Multimedia and Graphic Arts, Cyprus University of Technology, Limassol, Cyprus

    Panayiotis Zaphiris

  4. Cyprus University of Technology, Limassol, Cyprus

    Andri Ioannou

  5. Soar Technology, Inc., Orlando, FL, USA

    Robert A. Sottilare

  6. MMS, Fraunhofer FKIE, Wachtberg, Nordrhein-Westfalen, Germany

    Jessica Schwarz

  7. DePaul University, Chicago, IL, USA

    Xiaowen Fang

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Spiliotopoulos, D., Margaris, D., Koutrakis, K.N., Philippopoulos, P.I., Vassilakis, C. (2022). Persona Finetuning for Online Gaming Using Personalisation Techniques. In: Meiselwitz, G., et al. HCI International 2022 - Late Breaking Papers. Interaction in New Media, Learning and Games. HCII 2022. Lecture Notes in Computer Science, vol 13517. Springer, Cham. https://doi.org/10.1007/978-3-031-22131-6_48

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