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On the Effect of Contextual Information on Human Delegation Behavior in Human-AI collaboration
In this work, we explore the effects of providing contextual information on human decisions to delegate instances to an AI.
Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice
We hypothesize that, in addition to the mental model, human learning is a key mediator of appropriate reliance and, thus, CTP.
The Impact of Imperfect XAI on Human-AI Decision-Making
Our findings reveal the influence of imperfect XAI and humans' level of expertise on their reliance on AI and human-AI team performance.
ML-Based Teaching Systems: A Conceptual Framework
We present our findings in the form of a review of the key concepts, themes, and dimensions to understand and inform on ML-based teaching systems.
On the Perception of Difficulty: Differences between Humans and AI
With the increased adoption of artificial intelligence (AI) in industry and society, effective human-AI interaction systems are becoming increasingly important.
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer
Across a multitude of work environments, expert knowledge is imperative for humans to conduct tasks with high performance and ensure business success.
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs
Forecasts of product demand are essential for short- and long-term optimization of logistics and production.
