Group items tagged

Abstract: "We define data games as games where gameplay and/or game content is based on real-world data external to the game, and where gameplay supports the exploration of and learning from this data. This concept is discussed in rela- tion to open data, procedural content generation and serious games, and research challenges are outlined. To illustrate the concept, we present six prototype games and content generators of our own making. We also present a tentative taxonomy of actual and potential data games, and situate the described games within this taxonomy."

"A data game is a game that allows the player(s) to explore data that is derived from outside the game, by transforming the data into something that can be played with. In other words, games as a form of interactive data visualisation."

From the abstract: "Collective Artificial Intelligence (CAI) simulates human intelligence from data contributed by many humans, mined for inter-related patterns. This thesis applies CAI to social role-playing, introducing an end-to-end process for compositing recorded performances from thousands of humans, and simulating open-ended interaction from this data. The CAI process combines crowdsourcing, pattern discovery, and case-based planning. Content creation is crowdsourced by recording role-players online. Browser-based tools allow non-experts to annotate data, organizing content into a hierarchical narrative structure. Patterns discovered from data power a novel system combining plan recognition with case-based planning. The combination of this process and structure produces a new medium, which exploits a massive corpus to realize characters who interact and converse with humans. This medium enables new experiences in videogames, and new classes of training simulations, therapeutic applications, and social robots. .... As a proof of concept, a CAI system has been evaluated by recording over 10,000 performances in The Restaurant Game, automating an AI-controlled waitress who interacts in the world, and converses with a human via text or speech. Quantitative results demonstrate CAI supports significantly open-ended interaction with humans, while focus groups reveal factors for improving engagement."

Abstract: "A number of changes are occurring in the field of computer game development: persistent online games, digital distribution platforms, social and mobile games, and the emer- gence of new business models have pushed game development to put heavier emphasis on the live operation of games. Artificial intelligence has long been an important part of game development practices. The forces of change in the industry present an opportunity for Game AI to have new and profound impact on game development practices. Specifically, Game AI agents should act as "producers" responsible for managing a long-running set of live games, their player communities, and real-world context. We characterize a confluence of four major forces at play in the games industry today, together producing a wealth of data that opens unique research opportunities and challenges for Game AI as producers. We enumerate 12 new research areas spawned by these forces and steps toward how they can be addressed by data-driven Game AI Producers"

Abstract: "The rich interaction space of man y educational games presents a challenge for designers and researchers who strive to help players achieve specific learning outcomes. Giving players a large amount of freedom over how they perform a complex game task makes it difficult to anticipate what t hey will do. In order to ad dress this issue designers must ask : what are students do ing in my game? And does it embody what I intended them to learn? To answer these questions, designers need methods to expose the details of student play. We describe our a pproach for automatic extract ion of conceptu al features from logs of student play sessions within an open educational game utilizing a two - dimensional context - free grammar. We demonstrate how these features can be used to clu s- ter student solutions in the e ducational game RumbleBlocks . U s- ing these clusters , we explore the range of solutions and measure how many students use the designers' envisioned solution . Equipped with this information, designers and researchers can focus redesign efforts to areas in the game where discrepancies exist between the designer s' intention s and player experience s."