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Intelligent agents such as Alexa, Siri, and Google Assistant are now built into streaming TV systems, allowing people to use voice input to navigate the increasingly complex set of apps available on a TV. However, these systems typically…

Human-Computer Interaction · Computer Science 2019-05-16 Sarah McRoberts , Joshua Wissbroecker , Ruotong Wang , F. Maxwell Harper

In this paper, we identify challenges in children's current information retrieval process, and propose conversational robots as an opportunity to ease this process in a responsible way. Tools children currently use in this process, such as…

Information Retrieval · Computer Science 2021-06-16 T. Beelen , E. Velner , R. Ordelman , K. P. Truong , V. Evers , T. Huibers

Conversational AIs, or chatbots, mimic human speech when conversing. Smart assistants facilitate the automation of several tasks that needed human intervention earlier. Because of their accuracy, absence of dependence on human resources,…

Computation and Language · Computer Science 2023-12-05 Aditya Paranjape , Yash Patwardhan , Vedant Deshpande , Aniket Darp , Jayashree Jagdale

Enterprise conversational AI systems are becoming increasingly popular to assist users in completing daily tasks such as those in marketing and customer management. However, new users often struggle to ask effective questions, especially in…

Computation and Language · Computer Science 2024-12-17 Xiaobin Shen , Daniel Lee , Sumit Ranjan , Sai Sree Harsha , Pawan Sevak , Yunyao Li

Conversational search is a relatively young area of research that aims at automating an information-seeking dialogue. In this paper we help to position it with respect to other research areas within conversational Artificial Intelligence…

Information Retrieval · Computer Science 2021-06-09 Svitlana Vakulenko , Evangelos Kanoulas , Maarten de Rijke

User queries in e-commerce search are often vague, short, and underspecified, making it difficult for retrieval systems to match them accurately against structured product catalogs. This challenge is amplified by the one-to-many nature of…

Information Retrieval · Computer Science 2025-09-11 Yipeng Zhang , Bowen Liu , Xiaoshuang Zhang , Aritra Mandal , Canran Xu , Zhe Wu

In this paper, we address the problem of answering complex information needs by conversing conversations with search engines, in the sense that users can express their queries in natural language, and directly receivethe information they…

Information Retrieval · Computer Science 2021-05-19 Pengjie Ren , Zhumin Chen , Zhaochun Ren , Evangelos Kanoulas , Christof Monz , Maarten de Rijke

The advent of Large Language Models (LLMs) has significantly revolutionized web search. The emergence of LLM-based Search Agents marks a pivotal shift towards deeper, dynamic, autonomous information seeking. These agents can comprehend user…

Information Retrieval · Computer Science 2025-08-20 Yunjia Xi , Jianghao Lin , Yongzhao Xiao , Zheli Zhou , Rong Shan , Te Gao , Jiachen Zhu , Weiwen Liu , Yong Yu , Weinan Zhang

Home Digital Voice Assistants (HDVAs) are getting popular in recent years. Users can control smart devices and get living assistance through those HDVAs (e.g., Amazon Alexa, Google Home) using voice. In this work, we study the insecurity of…

Cryptography and Security · Computer Science 2019-11-14 Xinyu Lei , Guan-Hua Tu , Alex X. Liu , Kamran Ali , Chi-Yu Li , Tian Xie

How do analysis goals and context affect exploratory data analysis (EDA)? To investigate this question, we conducted semi-structured interviews with 18 data analysts. We characterize common exploration goals: profiling (assessing data…

Human-Computer Interaction · Computer Science 2019-11-05 Kanit Wongsuphasawat , Yang Liu , Jeffrey Heer

Collaborative search supports multiple users working together to accomplish a specific search task. Research has found that designing lightweight collaborative search plugins within instant messaging platforms aligns better with users'…

Information Retrieval · Computer Science 2024-02-12 Peiyuan Gong , Jiamian Li , Jiaxin Mao

As users advance in their search within a system, different queries are conducted and various results are examined by them. These objects form an implicit individual library representing the acquired knowledge. In our research we aim to…

Information Retrieval · Computer Science 2013-11-05 Wilko van Hoek

Analytical information needs, such as trend analysis and causal impact assessment, are prevalent across various domains including law, finance, science, and much more. However, existing information retrieval paradigms, whether based on…

Information Retrieval · Computer Science 2026-02-13 Yiteng Tu , Shuo Miao , Weihang Su , Yiqun Liu , Qingyao Ai

We present a novel AI-based ideation assistant and evaluate it in a user study with a group of innovators. The key contribution of our work is twofold: we propose a method of idea exploration in a constrained domain by means of…

Human-Computer Interaction · Computer Science 2024-11-07 Thomas Sandholm , Sarah Dong , Sayandev Mukherjee , John Feland , Bernardo A. Huberman

With large language models (LLMs), conversational search engines shift how users retrieve information from the web by enabling natural conversations to express their search intents over multiple turns. Users' natural conversation embodies…

Human-Computer Interaction · Computer Science 2024-07-19 Hyunwoo Kim , Yoonseo Choi , Taehyun Yang , Honggu Lee , Chaneon Park , Yongju Lee , Jin Young Kim , Juho Kim

About 32% of a software practitioners' day involves seeking and using information to support task completion. Although the information needs of software practitioners have been studied extensively, the impact of AI-assisted tools on their…

Software Engineering · Computer Science 2025-04-28 Ebtesam Al Haque , Chris Brown , Thomas D. LaToza , Brittany Johnson

Large Language Models (LLMs) excel at tackling various natural language tasks. However, due to the significant costs involved in re-training or fine-tuning them, they remain largely static and difficult to personalize. Nevertheless, a…

Information Retrieval · Computer Science 2024-02-20 Jinheon Baek , Nirupama Chandrasekaran , Silviu Cucerzan , Allen herring , Sujay Kumar Jauhar

Many popular form factors of digital assistants---such as Amazon Echo, Apple Homepod, or Google Home---enable the user to hold a conversation with these systems based only on the speech modality. The lack of a screen presents unique…

Computation and Language · Computer Science 2019-10-03 Aleksandr Chuklin , Aliaksei Severyn , Johanne Trippas , Enrique Alfonseca , Hanna Silen , Damiano Spina

In this paper we review studies of the growth of the Internet and technologies that are useful for information search and retrieval on the Web. Search engines are retrieve the efficient information. We collected data on the Internet from…

Information Retrieval · Computer Science 2013-10-18 Avinash N Bhute , B. B. Meshram

When experiencing an information need, users want to engage with a domain expert, but often turn to an information retrieval system, such as a search engine, instead. Classical information retrieval systems do not answer information needs…

Information Retrieval · Computer Science 2021-07-23 Donald Metzler , Yi Tay , Dara Bahri , Marc Najork
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