Dark game design patterns in online games: exploitation, loyalty and engagement

Shhh! We’re Making Games in the Library and You Can Too

Libraries are known as community spaces; however, librarians can be excellent partners with game developers. In recent years library administrators have begun exploring ways to better serve patrons who participate and consume media across a diversity of new platforms, including digital games (Wieder 2011). Most libraries focus on creating digital game collections or hosting events to play digital games (Bishoff et al. 2015). At the University of Utah a game development lab is housed in the Spencer S. Eccles Health Sciences Library and collaborates with librarians. This poster will highlight reasons for partnerships, best practices, and how to start conversations at your university.

Game of My Life: Supporting life management skills of young people

Digital play, iPad Apps and Young Children’s Development

This poster presents part of a larger research which aims to understand young children’s digital play in relation to their imaginative play - a major force of psychological development in the early years. The poster will be of interest to DiGRA/FDG audience as it focuses their attention on the need for theoretical and research based criteria to appraise developmentally sound apps suitable for preschoolers (3-5 years of age).

Why Do Players Experience Social Anxiety in a Virtual World?

ArkaNet: Investigating Emergent Gameplay and Emergence

Diversity Scale: an Evaluation Algorithm for Terrain Generators

ADAMASTOR: A Case Study on Generative Game Design

Privacy and Security in Crowd- Sourcing Projects: Some Issues and Strategies

Solving Belief-Driven Pathfinding using Monte-Carlo Tree Search

In this work we discuss a stochastic extension to the (discrete) Belief-Driven Pathfinding (BDP) approach for finding personalized paths based on the beliefs of a character about the current state of the map. Our stochastic BDP upgrades previous work to the more realistic setting of using probabilities for the beliefs and takes advantage of approximate Monte Carlo Tree Search approaches.