Swipe for Science: a single-player game designed for collecting discriminative evidence

We introduce Swipe for Science, a single-player mobile game designed for collecting discriminative evidence from crowds. When people play this game, we collect data about how certain concepts are associated with different contexts, which is valuable knowledge for machine learning systems. The main gameplay loop consists of swiping concepts up,...

Designing a Multiplayer Competitive Text-Based Game for Elicitation of Tacit Knowledge About Humor from Crowds of People

Tacit knowledge, unlike explicit knowledge, is not easily codifiable, yet important for machine learning models. This research explores a method to gather tacit knowledge about humor using a simple text-based party game, building on the existing idea of using games to gather tacit knowledge from crowds of people. Players propose prompts, which...

FindItOut: a Crowdsourcing Discriminative Tacit Knowledge Elicitation Multiplayer Game using Pictures

Despite the ever-growing advances in artificial intelligence (AI), common sense acquisition and reasoning is still comparingly in their early stages to other fields in AI. To further advance this field, it is necessary to collect large amounts of common sense facts or tacit knowledge to train such AI models. One effective way is to use...

Designing a single player textual GWAP for validating tacit knowledge elicitation from crowds

Machine learning can still make harmful mistakes. A solution would be tacit knowledge. Machine learning needs this type of knowledge to improve. An example of such knowledge that can help make the system draw better logical conclusions would be: if presented with an open fridge, then it could deduct that the food will go bad. Tacit knowledge or...

SceneFinder: A collaborative game that collects tacit knowledge from crowds

The manual process of collecting and labelling data required for machine learning tasks is labour-intensive, expensive, and time consuming. In the past, efforts have been made to crowdsource this data by either offering people monetary incentives, or by using a gamified approach where users contribute to databases as a side-effect of playing an...

Unveil Awareness: A Design Education Tool for Revealing the Hidden Curriculum

In this project, I research how to unveil the hidden curriculum in Design Education. The hidden curriculum is the curriculum that students develop tacitly during their studies. It is also defined as tacit knowledge developed in education. tacit knowledge is a part of knowledge that everybody takes for granted without being fully aware of its...

Managing Knowledge in the Era of Serious Games and Simulations: An exploratory study on the elicitation of serious games' requirements for the generation and reuse of knowledge

The extensive amount of knowledge possessed by an organization represents one of its most valuable resources. Nonetheless, it is not always easy to pinpoint, arrange and reuse such knowledge in an effective and productive manner. Moreover, in the last two decades companies have been increasingly using serious games and simulations for the most...

Inspections in a data-driven world: Utilizing multiple sources of knowledge to achieve risk-based regulation

The last decades, the role of data in society has increased rapidly. The Dutch regulation agencies have to embrace this age of digitization. It provides challenges, as the inspection work becomes more complex. It also provides opportunities, because data analysis could make the inspections more efficient. One of these inspection agencies is the...

Reducing the time-to-market of investment castings through additive manufacturing & casting design sessions

Investment Casting (IC) is one of the oldest manufacturing process known to mankind. It is used within a wide variety of applications and it is possible to cast almost any metal. Additive Manufacturing (AM) is one of the newest ways of making products and recent advancements have made it possible to manufacture single parts and prototypes via AM...