Opportunistic storytelling is an approach to interactive narrative where the AI challenge is to tell a story about what the player is doing, with game play providing the ordinary activity that underlies story events. In this preliminary work, we motivate the need for event prediction within this framework, and describe a machine learning approach to the problem. We report results showing how di...

In this paper, a six-stage interactive model is presented for the perforation of metallic plates using blunt deformable projectiles when plastic wave propagation in both target and projectile is considered. In this analytical model, it is assumed that the projectile and target materials are rigid – plastic linear work hardened. The penetration of the projectile into the target is divided into s...

We present Tidebanan (Time Way), an interactive visualization of the history of the metro system of Stockholm from 1949 to 2014 that includes a projection to 2025. The analytics tool visually correlates the growth of the metro system with the changing demographic density of Stockholm. Interestingly, we discover patterns of density decrease in central Stockholm as new metro lines open, in partic...

With the proliferation of domain-specific languages, the generalization of OO patterns is a natural demand. Concepts and tools supporting pattern specification and execution for arbitrary domain-specific languages facilitate to meet these requirements. Our previous work introduced the Active Model Pattern Infrastructure and possible realizations for its static aspect. In this paper, we contribu...

This study investigates the eeect of distinctive marks on the recognition of unfamiliar faces across view angles. Subjects were asked to memorize a set of target faces, half of which had distinctive marks. Recognition was assessed by presenting the target faces, either in the same orientation, or after 90 degrees rotation, mixed with an equal number of distractors. Results show that the eeect o...

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