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Individuals working towards a goal often exhibit time inconsistent behavior, making plans and then failing to follow through. One well-known model of such behavioral anomalies is present-bias discounting: individuals over-weight present…

Computer Science and Game Theory · Computer Science 2016-06-10 Nick Gravin , Nicole Immorlica , Brendan Lucier , Emmanouil Pountourakis

Intertemporal choices involve making decisions that require weighing the costs in the present against the benefits in the future. One specific type of intertemporal choice is the decision between purchasing an individual item or opting for…

Information Retrieval · Computer Science 2023-09-20 Qingming Li , H. Vicky Zhao

Algorithmic predictions are increasingly informing societal resource allocations by identifying individuals for targeting. Policymakers often build these systems with the assumption that by gathering more observations on individuals, they…

Machine Learning · Computer Science 2025-03-04 Ali Shirali , Ariel Procaccia , Rediet Abebe

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 agent behaves inefficiently because its decisions suffer from…

Computer Science and Game Theory · Computer Science 2017-06-06 Jon Kleinberg , Sigal Oren , Manish Raghavan

Present bias, the tendency to weigh costs and benefits incurred in the present too heavily, is one of the most widespread human behavioral biases. It has also been the subject of extensive study in the behavioral economics literature. While…

Computer Science and Game Theory · Computer Science 2016-03-29 Jon Kleinberg , Sigal Oren , Manish Raghavan

Decisions in organizations are about evaluating alternatives and choosing the one that would best serve organizational goals. To the extent that the evaluation of alternatives could be formulated as a predictive task with appropriate…

Human-Computer Interaction · Computer Science 2022-06-30 Charles Wan , Rodrigo Belo , Leid Zejnilović

People often plan hierarchically. That is, rather than planning over a monolithic representation of a task, they decompose the task into simpler subtasks and then plan to accomplish those. Although much work explores how people decompose…

Artificial Intelligence · Computer Science 2020-07-29 Carlos G. Correa , Mark K. Ho , Fred Callaway , Thomas L. Griffiths

Background: Multitasking is usual in software development. It is the ability to stop working on a task, switch to another, and return eventually to the first one, as needed or as scheduled. Multitasking, however, comes at a cognitive cost:…

Software Engineering · Computer Science 2020-06-24 Karina Kohl , Bogdan Vasilescu , Rafael Prikladnicki

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. Such time-inconsistent behavior is believed to be…

Computer Science and Game Theory · Computer Science 2025-01-15 Yasunori Akagi , Naoki Marumo , Takeshi Kurashima

I model a rational agent who experiences endogenous deadline pressure in the face of a fixed future deadline. The agent holds a resource stock, and opportunities to spend resources arise randomly according to a Poisson process. When the…

Theoretical Economics · Economics 2025-09-10 Conrad Kosowsky

Everyone spends some time waiting every day. HCI research has developed tools for boosting productivity while waiting. However, little is known about how people naturally spend their waiting time. We conducted an experience sampling study…

Human-Computer Interaction · Computer Science 2024-04-04 Jian Zheng , Ge Gao

Selecting the dimensionality reduction technique that faithfully represents the structure is essential for reliable visual communication and analytics. In reality, however, practitioners favor projections for other attractions, such as…

Human-Computer Interaction · Computer Science 2025-07-29 Seoyoung Doh , Hyeon Jeon , Sungbok Shin , Ghulam Jilani Quadri , Nam Wook Kim , Jinwook Seo

How do algorithmic decision aids introduced in business decision processes affect task performance? In a first experiment, we study effective collaboration. Faced with a decision, subjects alone have a success rate of 72%; Aided by a…

Human-Computer Interaction · Computer Science 2020-09-18 Thomas Baudel , Manon Verbockhaven , Guillaume Roy , Victoire Cousergue , Rida Laarach

In projectors and head-mounted displays, an out-of-focus image appears blurred. Even when a display itself is in focus, computer operation may be hindered if the display is far from the user or if a user has poor visual acuity, because the…

Human-Computer Interaction · Computer Science 2026-04-28 Ryuto Tomihari , Taiki Kinoshita , Yosuke Oba , Shota Yamanaka , Homei Miyashita

Human-AI collaboration increasingly drives decision-making across industries, from medical diagnosis to content moderation. While AI systems promise efficiency gains by providing automated suggestions for human review, these workflows can…

Human-Computer Interaction · Computer Science 2025-09-11 Jacob Beck , Stephanie Eckman , Christoph Kern , Frauke Kreuter

Design optimizations in human-AI collaboration often focus on cognitive aspects like attention and task load. Drawing on work design literature, we propose that effective human-AI collaboration requires broader consideration of human needs…

Human-Computer Interaction · Computer Science 2024-10-11 Cedric Faas , Richard Bergs , Sarah Sterz , Markus Langer , Anna Maria Feit

Humans display a tendency to pay more attention to bad outcomes, often in a disproportionate way relative to their statistical occurrence. They also display euphorism, as well as a preference for the current state of affairs (status quo…

Artificial Intelligence · Computer Science 2022-03-24 Michel de Lara

People's decisions about how to allocate their limited computational resources are essential to human intelligence. An important component of this metacognitive ability is deciding whether to continue thinking about what to do and move on…

Artificial Intelligence · Computer Science 2022-01-04 Ruiqi He , Yash Raj Jain , Falk Lieder

A recent approach based on Bayesian inverse planning for the "theory of mind" has shown good performance in modeling human cognition. However, perfect inverse planning differs from human cognition during one kind of complex tasks due to…

Artificial Intelligence · Computer Science 2019-11-21 Ryo Nakahashi , Seiji Yamada

People are increasingly turning to AI assistance for simple tasks, e.g., arithmetic, spell-check, and answering simple questions. But does AI assistance actually save users time and effort? We investigate people's propensity to use AI for…

Computers and Society · Computer Science 2026-05-22 Sunny Yu , Myra Cheng , Ahmad Jabbar , Ilia Sucholutsky , Katherine M. Collins , Dan Jurafsky , Robert D. Hawkins
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