Search for dissertations about: "Human Machine Interaction"
Showing result 1 - 5 of 116 swedish dissertations containing the words Human Machine Interaction.
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1. Representing human-automation challenges
Abstract : Automation technology is widely implemented in process control domains due to its benefits of improving efficiency and enhancing control. However, use of automation also introduces an often complex intermediary between the human and the controlled domain, which can obscure from the operator how system functioning is achieved. READ MORE
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2. Human In Command Machine Learning
Abstract : Machine Learning (ML) and Artificial Intelligence (AI) impact many aspects of human life, from recommending a significant other to assist the search for extraterrestrial life. The area develops rapidly and exiting unexplored design spaces are constantly laid bare. READ MORE
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3. Spaces within Spaces : The Construction of a Collaborative Reality
Abstract : This thesis is about collaborative activities in interactive spaces. These spaces are characterized by having shared, large displays in combination with private displays and software tools that facilitate a fluent sharing of information between people and their resources. READ MORE
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4. Exploring Road Traffic Interactions Between Highly Automated Vehicles and Vulnerable Road Users
Abstract : Understandings of road traffic interactions are largely based on human-human interactions. However, the development of vehicles controlled by highly auto- mated driving systems (ADS) would introduce a radically novel type of road user. READ MORE
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5. Visual Analytics for Explainable and Trustworthy Machine Learning
Abstract : The deployment of artificial intelligence solutions and machine learning research has exploded in popularity in recent years, with numerous types of models proposed to interpret and predict patterns and trends in data from diverse disciplines. However, as the complexity of these models grows, it becomes increasingly difficult for users to evaluate and rely on the model results, since their inner workings are mostly hidden in black boxes, which are difficult to trust in critical decision-making scenarios. READ MORE