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We study the voting game where agents' preferences are endogenously decided by the information they receive, and they can collaborate in a group. We show that strategic voting behaviors have a positive impact on leading to the ``correct''…

Computer Science and Game Theory · Computer Science 2023-05-23 Qishen Han , Grant Schoenebeck , Biaoshuai Tao , Lirong Xia

This article investigates the deployment of a Voice User Interface (VUI)-powered digital assistant in a retail setting and assesses its impact on customer engagement and service efficiency. The study explores how digital assistants can…

Human-Computer Interaction · Computer Science 2024-06-11 Emilia Lesiak , Grzegorz Wolny , Bartosz Przybył , Michał Szczerbak

When selling information products, the seller can provide some free partial information to change people's valuations so that the overall revenue can possibly be increased. We study the general problem of advertising information products by…

Computer Science and Game Theory · Computer Science 2021-09-24 Shuran Zheng , Yiling Chen

Understanding citizens' values in participatory systems is crucial for citizen-centric policy-making. We envision a hybrid participatory system where participants make choices and provide motivations for those choices, and AI agents…

Artificial Intelligence · Computer Science 2025-02-12 Enrico Liscio , Luciano C. Siebert , Catholijn M. Jonker , Pradeep K. Murukannaiah

Can competition among misaligned AI providers yield aligned outcomes for a diverse population of users, and what role does model personalization play? We study a setting where multiple competing AI providers interact with multiple users who…

Computer Science and Game Theory · Computer Science 2026-02-17 Natalie Collina , Surbhi Goel , Aaron Roth , Mirah Shi

How do consultants price expertise? This paper studies a problem of selling information products (expertise) to a buyer (client) who faces decision-making problem under uncertainty. The client is privately informed about the type of…

Theoretical Economics · Economics 2024-05-21 Klajdi Hoxha

Increasing online shoppers have generated enormous amount of data in form of reviews (text) and sales data. Aggregate reviews in form of rating (stars) have become noticeable indicators of product quality and vendor performance to…

Computers and Society · Computer Science 2021-10-19 Prathamesh Muzumdar

In e-commerce service recommendation, utilizing auxiliary behaviors to alleviate data sparsity often relies on the flawed assumption that auxiliary behaviors that fail to trigger target actions are negative samples. This approach is…

Information Retrieval · Computer Science 2025-12-02 Cheng Li , Yong Xu , Suhua Tang , Wenqiang Lin , Xin He , Jinde Cao

The growing popularity of Virtual Assistants poses new challenges for Entity Resolution, the task of linking mentions in text to their referent entities in a knowledge base. Specifically, in the shopping domain, customers tend to use…

Computation and Language · Computer Science 2021-04-15 Ying Lin , Han Wang , Jiangning Chen , Tong Wang , Yue Liu , Heng Ji , Yang Liu , Premkumar Natarajan

A verbal autopsy (VA) consists of a survey with a relative or close contact of a person who has recently died. VA surveys are commonly used to infer likely causes of death for individuals when deaths happen outside of hospitals or…

Applications · Statistics 2018-11-16 Samuel J. Clark , Zehang Li , Tyler H. McCormick

Smart Voice assistants (SVAs) are widely adopted by youth, yet privacy decision-making in these environments is often characterized by competing considerations rather than clear-cut preferences. While our prior research has examined privacy…

Cryptography and Security · Computer Science 2026-04-09 Molly Campbell , Mohamad Sheikho Al Jasem , Ajay Kumar Shrestha

Motivated by the dynamic assortment offerings and item pricings occurring in e-commerce, we study a general problem of allocating finite inventories to heterogeneous customers arriving sequentially. We analyze this problem under the…

Data Structures and Algorithms · Computer Science 2019-05-14 Will Ma , David Simchi-Levi

Algorithmic pricing is the computational problem that sellers (e.g., in supermarkets) face when trying to set prices for their items to maximize their profit in the presence of a known demand. Guruswami et al. (2005) propose this problem…

Computer Science and Game Theory · Computer Science 2008-08-13 Shuchi Chawla , Jason Hartline , Robert Kleinberg

As robots and digital assistants are deployed in the real world, these agents must be able to communicate their decision-making criteria to build trust, improve human-robot teaming, and enable collaboration. While the field of explainable…

Human-Computer Interaction · Computer Science 2025-04-22 Andrew Silva , Pradyumna Tambwekar , Mariah Schrum , Matthew Gombolay

We consider a dynamic pricing problem for repeated contextual second-price auctions with multiple strategic buyers who aim to maximize their long-term time discounted utility. The seller has limited information on buyers' overall demand…

Machine Learning · Computer Science 2023-02-08 Negin Golrezaei , Patrick Jaillet , Jason Cheuk Nam Liang

Many users make quick decisions that affect their data privacy without due consideration of their values. One such decision is whether to download a smartphone app to their device. Previous work has suggested a relationship between values,…

Cryptography and Security · Computer Science 2025-04-03 Sarah E. Carter , Mathieu d'Aquin , Dayana Spagnuelo , Ilaria Tiddi , Kathryn Cormican , Heike Felzmann

Smart assistants increasingly act proactively, yet mistimed or intrusive behavior often causes users to lose trust and disable these features. Learning user preferences for proactive assistance is difficult because real-world studies are…

Human-Computer Interaction · Computer Science 2026-02-05 Ziyi Xuan , Yiwen Wu , Zhaoyang Yan , Vinod Namboodiri , Yu Yang

A decision maker is choosing between an active action (e.g., purchase a house, invest certain stock) and a passive action. The payoff of the active action depends on the buyer's private type and also an unknown state of nature. An…

Computer Science and Game Theory · Computer Science 2021-10-29 Shuze Liu , Weiran Shen , Haifeng Xu

We study sequential bargaining between a proposer and a veto player. Both have single-peaked preferences, but the proposer is uncertain about the veto player's ideal point. The proposer cannot commit to future proposals. When players are…

Theoretical Economics · Economics 2023-04-10 S. Nageeb Ali , Navin Kartik , Andreas Kleiner

We present an intelligent virtual interviewer that engages with a user in a text-based conversation and automatically infers the user's psychological traits, such as personality. We investigate how the personality of a virtual interviewer…

Artificial Intelligence · Computer Science 2018-11-05 Jingyi Li , Michelle X. Zhou , Huahai Yang , Gloria Mark