TY - JOUR
T1 - What’s the worst thing you’ve ever done at a conference? Operationalizing Dread’s questionnaire mechanic
AU - Horswill, Ian D
AU - Robison, Ethan
N1 - Publisher Copyright:
© 2018 CEUR-WS. All Rights Reserved.
PY - 2018
Y1 - 2018
N2 - Dread (Barmore et al. 2005) is an award-winning tabletop horror RPG that emphasizes storytelling. One of its innovative mechanics is the use of a questionnaire for character design that helps players develop a personality and history for their characters. Questionnaires vary for different scenarios and characters, but always include “intrusive” questions such as “why are you married if you aren’t in love?” or “what’s the worst thing you’ve ever done to a loved one?” In this paper, we discuss work in progress on AutoDread, an implementation of Dread-style questionnaires for video games. The system presents human-authored questions and candidate answers to players to choose between, collecting the implications of those answers in a character model. As implications are accumulated, the system uses a SAT solver to filter questions and answers that are inconsistent with character facts established by previous questions.
AB - Dread (Barmore et al. 2005) is an award-winning tabletop horror RPG that emphasizes storytelling. One of its innovative mechanics is the use of a questionnaire for character design that helps players develop a personality and history for their characters. Questionnaires vary for different scenarios and characters, but always include “intrusive” questions such as “why are you married if you aren’t in love?” or “what’s the worst thing you’ve ever done to a loved one?” In this paper, we discuss work in progress on AutoDread, an implementation of Dread-style questionnaires for video games. The system presents human-authored questions and candidate answers to players to choose between, collecting the implications of those answers in a character model. As implications are accumulated, the system uses a SAT solver to filter questions and answers that are inconsistent with character facts established by previous questions.
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M3 - Conference article
AN - SCOPUS:85059809761
SN - 1613-0073
VL - 2282
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 2018 Joint of the Artificial Intelligence and Interactive Digital Entertainment Workshops, AIIDE-WS 2018
Y2 - 13 November 2018 through 14 November 2018
ER -