Johannes Pfau

Johannes Pfau
Universität Bremen | Uni Bremen · Faculty 03: Mathematics/Computer Science

Doctor of Engineering

About

18
Publications
5,575
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129
Citations

Publications

Publications (18)
Conference Paper
Full-text available
Due to a steady increase in popularity, player demands for (online) video game content are growing to an extent in which consistency and novelty in challenges is hard to attain. Challenges in balance and error-coping accumulate. We introduce the concept of deep player behavior models by applying machine learning techniques to individual, atomic dec...
Conference Paper
Full-text available
With ICARUS, we introduce a framework for autonomous video game playing, testing, and bug reporting. We report on the design rationale, the practical implementation, and its use in game development industry projects. The underlying solving mechanic is based on discrete reinforcement learning in a dualistic fashion, encompassing volatile short-term...
Preprint
Full-text available
Finding and maintaining the right level of challenge with respect to the individual abilities of players has long been in the focus of game user research (GUR) and game development (GD). The right difficulty balance is usually considered a prerequisite for motivation and a good player experience. Dynamic difficulty adjustment (DDA) aims to tailor d...
Conference Paper
Full-text available
Outsourcing effortful problems as microtasks has been successfully implemented by various human computation serious games or GWAP. Still, most of the academic ap-proaches validate their results by conducting laboratory studies. While these have the potential to assess proposed techniques thoroughly with respect to quantitative and qualitative measu...
Conference Paper
Full-text available
Intrinsic motivation is a key factor in facilitating enjoyment and engagement in video games. In recent years, various approaches have been introduced by the industry to raise motivation of players. One of the most prominent methods in modern games comes in the form of Achievements which are defined as optional meta-objectives that players can obta...
Preprint
Full-text available
Due to contact restrictions, closure of fitness centers and quarantine measures, the SARS-CoV-2 pandemic led to a considerable decline of sporting activities. The first relaxation of these restrictions allowed German citizens to mostly return to their normal training and exercise behavior, yet the long-term impact of the recurring measures (i.e. th...
Article
Going from natural language directions to fully specified executable plans for household robots involves a challenging variety of reasoning steps. In this paper, a processing pipeline to tackle these steps for natural language directions is proposed and implemented. It uses the ontological Socio-physical Model of Activities (SOMA) as a common inter...
Article
Full-text available
Video game testing has become a major investment of time, labor and expense in the game industry. Particularly the balancing of in-game units, characters and classes can cause long-lasting issues that persist years after a game’s launch. While approaches incorporating artificial intelligence have already shown successes in reducing manual effort an...
Conference Paper
Full-text available
While robotic proficiency excels in constrained environments, the demand for vast amounts of world knowledge to cover unforeseen circumstances, constellations and tasks prevents sufficiently robust real-world application. Human computation has shown to provide successful advances to close this reasoning gap and accumulate knowledge, yet being great...
Conference Paper
Full-text available
Artificial intelligence (AI) is a frequently used term-and has seen decades of use-in the video games industry. Yet, while academic AI research recently produced notable advances both in different methods and in real-world applications, the use of modern AI techniques, such as deep learning remains curiously sparse in commercial video games. Relate...
Conference Paper
While smart home devices are spreading rapidly, the privacy and security of users are key concerns. Many users struggle in acquiring and applying security recommendations to protect against malicious behavior in smart home systems, which can cause users to lose interest in this topic. Game-based learning is a powerful practice to increase the motiv...
Conference Paper
Full-text available
Balancing the options available to players in a way that ensures rich variety and viability is a vital factor for the success of any video game, and particularly competitive multiplayer games. Traditionally, this balancing act requires extensive periods of expert analysis, play testing and debates. While automated gameplay is able to predict outcom...
Conference Paper
Full-text available
Many online games suffer when players drop off due to lost connections or quitting prematurely, which leads to match terminations or game-play imbalances. While rule-based outcome evaluations or substitutions with bots are frequently used to mitigate such disruptions, these techniques are often perceived as unsatisfactory. Deep learning methods hav...
Conference Paper
Full-text available
Balancing games and producing content that remains interesting and challenging is a major cost factor in the design and maintenance of games. Dynamic difficulty adjustment (DDA) can successfully tune challenge levels to player abilities, but when implemented with classic heuristic parameter tuning (HPT) often turns out to be very noticeable, e.g. a...
Chapter
Constantly evolving advances of smart home devices features require users to persistently keep up with safety concerns. While update reports and news articles are common ways to keep them informed, many users struggle in thoroughly understanding and applying available security recommendations. Educational games have proven to be an intuitive way to...
Chapter
Full-text available
In this paper, we introduce the framework of MEANinGS for the semi-autonomous accumulation of world knowledge for robots. Where manual aggregation is inefficient and prone to incompleteness and autonomous approaches suffer from underspecified information, we deploy the human computation game Kitchen Clash and give evidence of its efficiency, comple...
Conference Paper
Full-text available
The general promise of employing the motivational power of games for serious purposes, such as performing physiotherapy exercises, is well-established. However, game user research discusses both the approach of gamification, i.e. adding game-elements on to a task-focused application and of serious games, i.e. injecting task-focused elements into a...

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