Abstract
The typical goal of an experience manager in an interactive narrative is to create a sense of shared authorship that lends the player freedom to personalize the experience while still meeting the author's constraints on structure. This can be difficult when the player and author only communicate with one another through their actions. Each new action causes new questions to arise, assumptions to be made, and old questions to be answered. In this paper, I propose a technique called Mutual Implicit Question Answering, or MIQA, designed to allow an experience manager to both perceive and influence the momentum of an interactive story. It combines a generative model of narrative planning with analytical models of question answering and salience. I also present the results of a small, qualitative study of how people construct interactive narratives that lends insight for the eventual evaluation of a MIQA experience manager.
Original language | English |
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Title of host publication | AAAI Workshop - Technical Report |
Pages | 259-265 |
Number of pages | 7 |
Edition | 2 |
ISBN (Electronic) | 9781577357926 |
DOIs | |
State | Published - 2017 |
Event | 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2017 - Snowbird, Little Cottonwood Canyon, United States Duration: Oct 5 2017 → Oct 9 2017 |
Publication series
Name | AAAI Workshop - Technical Report |
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Number | 2 |
Volume | 13 |
Conference
Conference | 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2017 |
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Country/Territory | United States |
City | Snowbird, Little Cottonwood Canyon |
Period | 10/5/17 → 10/9/17 |
Bibliographical note
Publisher Copyright:Copyright © 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
ASJC Scopus subject areas
- General Engineering
- Artificial Intelligence
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Human-Computer Interaction
- Software