Corpus ID: 3930383

Playable Experiences at AIIDE 2014

@inproceedings{Sturtevant2014PlayableEA,
  title={Playable Experiences at AIIDE 2014},
  author={Nathan R Sturtevant and Jeff Orkin and Robert Zubek and Michael Cook and Stephen G. Ware and Christian Stith and Robert Michael Young and Phillip Wright and Squirrel Eiserloh and Alejandro Jose Ramirez and Vadim Bulitko and Kieran Lord},
  booktitle={AIIDE},
  year={2014}
}
AIIDE 2014 is the second AIIDE event that has featured a playable experience track. This paper describes the seven entries that were accepted in the 2014 track, as well as the motivation behind the track and the criteria used to evaluate and accept entries. 
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References

SHOWING 1-10 OF 50 REFERENCES
Hierarchical Portfolio Search: Prismata's Robust AI Architecture for Games with Large Search Spaces
TLDR
The result show that this system achieves a skill level in the top 25% of human players on the ranked ladder, can be modified quickly to create different difficulty settings, is robust to changes in game unit properties, and creates an overall user AI experience which is user rated more enjoyable than those currently found in similar video games. Expand
Sarah and Sally : Creating a Likeable and Competent AI Sidekick for a Videogame
Creating reasonable AI for sidekicks in games has proven to be a difficult challenge synthetizing player modelling and cooperative planning, both being problems hard by themselves. In this paper, weExpand
Bad News: An Experiment in Computationally Assisted Performance
TLDR
This work presents Bad News, a combination of theatrical performance practices, computational support, and Wizard-of-Oz interaction techniques that allow for rich, real-time interaction with a procedurally generated world. Expand
Evaluating Planning-Based Experience Managers for Agency and Fun in Text-Based Interactive Narrative
TLDR
It is shown that ASD significantly enhances fun and agency, whereas PAST gets mixed results with an interaction between effects of the experience manager and player prior gaming experience in one user study, and marginally significant results for increased agency in a study with a constrained story domain. Expand
Telling Interactive Player-specific Stories and Planning for It: ASD + PaSSAGE = PAST
TLDR
This paper describes a system that uses a player model both at the design time and at the play time to generate and select stories fitting a specific player. Expand
Keeping the Player on an Emotional Trajectory in Interactive Storytelling
TLDR
A recently proposed AI experience manager, PACE, is implemented and evaluated, which predicts the player’s emotional response to a narrative event and uses such predictions to shape the narrative to keep the player on an author-supplied target emotional curve. Expand
Toward Characters Who Observe, Tell, Misremember, and Lie
Knowledge and its attendant phenomena are central to human storytelling and to the human experience more generally, but we find very few games that revolve around these concerns. This works toExpand
Danesh: Helping Bridge The Gap Between Procedural Generators And Their Output
Procedural content generation is more popular than ever among game developers, but understanding, adjusting and perfecting a procedural generator is difficult for newcomers and experts alike. In thisExpand
Aesthetic Considerations for Automated Platformer Design
We describe ANGELINA3, a system that can automatically develop games along a defined theme, by selecting appropriate multimedia content from a variety of sources and incorporating it into a game'sExpand
A Framework for Playable Social Dialogue
TLDR
This work presents an extension to Ensemble comprised of a model of playable social dialogue called social practices, which increases the playability of character interactions and add interactivity at each stage of dialogue. Expand
...
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2
3
4
5
...