Online platforms have a wealth of data, run countless experiments, and use industrial-scale
algorithms to optimize user experience. Despite this, many users seem to regret the time …

Accurately modeling human decision-making in security is critical to thinking about when,
why, and how to recommend that users adopt certain secure behaviors. In this work, we …

Centaurs are half-human, half-AI decision-makers where the AI's goal is to complement the
human. To do so, the AI must be able to recognize the goals and constraints of the human …

Time-inconsistency is a characteristic of human behavior in which people plan for long-term
benefits but take actions that differ from the plan due to conflicts with short-term benefits …

Recent work has considered theoretical models for the behavior of agents with specific
behavioral biases: rather than making decisions that optimize a given payoff function, the …

We study the complexity of motivating time-inconsistent agents to complete long term
projects in a graph-based planning model proposed by Kleinberg and Oren (2014). Given a …

We study combinatorial auctions with bidders that exhibit endowment effect. In most of the
previous work on cognitive biases in algorithmic game theory (eg,[Kleinberg and Oren …

Time-inconsistency refers to a paradox in decision making where agents exhibit inconsistent
behaviors over time. Examples are procrastination where agents tend to postpone easy …

Inferring a person's goal from their behavior is an important problem in applications of AI (eg
automated assistants, recommender systems). The workhorse model for this task is the …

People tend to behave inconsistently over time due to an inherent present bias. As this may
impair performance, social and economic settings need to be adapted accordingly. Common …