activity
20202026
most citedCreating user stereotypes for persona development from qualitative data through semi-automatic subspace clustering

22 citations · 129 across the 18 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.HC2023★ 5 cited

Procedurally generating rules to adapt difficulty for narrative puzzle games

Thomas Volden, Djordje Grbic, Paolo Burelli

This paper focuses on procedurally generating rules and communicating them to players to adjust the difficulty. This is part of a larger project to collect and adapt games in educa…

cs.HC2023★ 4 cited

Investigating Perceived and Mechanical Challenge in Games Through Cognitive Activity

Christine Hegedues, Joao Pedro Dias Constantino, Laurits Dixen +1

Game difficulty is a crucial aspect of game design, that can be directly influenced by tweaking game mechanics. Perceived difficulty can however also be influenced by simply alteri…

cs.HC2023★ 5 cited

Investigating the Uncanny Valley Phenomenon Through the Temporal Dynamics of Neural Responses to Virtual Characters

Chiara Gorlini, Laurits Dixen, Paolo Burelli

The Uncanny Valley phenomenon refers to the feeling of unease that arises when interacting with characters that appear almost, but not quite, human-like. First theorised by Masahir…

cs.AI2023★ 14 cited

Procedural content generation of puzzle games using conditional generative adversarial networks

Andreas Hald, Jens Struckmann Hansen, Jeppe Kristensen +1

In this article, we present an experimental approach to using parameterized Generative Adversarial Networks (GANs) to produce levels for the puzzle game Lily's Garden. We extract t…

cs.AI2023★ 16 cited

Estimating player completion rate in mobile puzzle games using reinforcement learning

Jeppe Theiss Kristensen, Arturo Valdivia, Paolo Burelli

In this work we investigate whether it is plausible to use the performance of a reinforcement learning (RL) agent to estimate the difficulty measured as the player completion rate…

cs.AI2023★ 22 cited

Creating user stereotypes for persona development from qualitative data through semi-automatic subspace clustering

Dannie Korsgaard, Thomas Bjorner, Pernille Krog Sorensen +1

Personas are models of users that incorporate motivations, wishes, and objectives; These models are employed in user-centred design to help design better user experiences and have…