Informing a BDI Player Model for an Interactive Narrative
| Autor: | Jessica Rivera-Villicana, James Harland, Marsha Berry, Fabio Zambetta |
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| Rok vydání: | 2018 |
| Předmět: |
FOS: Computer and information sciences
TheoryofComputation_MISCELLANEOUS Interactive fiction Computer Science - Artificial Intelligence Computer science Computer Science - Human-Computer Interaction ComputingMilieux_PERSONALCOMPUTING 020207 software engineering 02 engineering and technology Human-Computer Interaction (cs.HC) Artificial Intelligence (cs.AI) Interactive narrative Human–computer interaction Agency (sociology) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Narrative |
| Zdroj: | Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play. |
| DOI: | 10.1145/3242671.3242700 |
| Popis: | This work focuses on studying players behaviour in interactive narratives with the aim to simulate their choices. Besides sub-optimal player behaviour due to limited knowledge about the environment, the difference in each player's style and preferences represents a challenge when trying to make an intelligent system mimic their actions. Based on observations from players interactions with an extract from the interactive fiction Anchorhead, we created a player profile to guide the behaviour of a generic player model based on the BDI (Belief-Desire-Intention) model of agency. We evaluated our approach using qualitative and quantitative methods and found that the player profile can improve the performance of the BDI player model. However, we found that players self-assessment did not yield accurate data to populate their player profile under our current approach. CHI Play 2018 |
| Databáze: | OpenAIRE |
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