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Emphasizing problem formulation in AI literacy activities with children is vital, yet we lack empirical studies on their structure and affordances. We propose that participatory design involving teachable machines facilitates problem…

Human-Computer Interaction · Computer Science 2024-03-01 Utkarsh Dwivedi , Salma Elsayed-Ali , Elizabeth Bonsignore , Hernisa Kacorri

Despite its benefits for children's skill development and parent-child bonding, many parents do not often engage in interactive storytelling by having story-related dialogues with their child due to limited availability or challenges in…

Human-Computer Interaction · Computer Science 2022-03-16 Zheng Zhang , Ying Xu , Yanhao Wang , Bingsheng Yao , Daniel Ritchie , Tongshuang Wu , Mo Yu , Dakuo Wang , Toby Jia-Jun Li

Having an intelligent dialogue agent that can engage in conversational question answering (ConvQA) is now no longer limited to Sci-Fi movies only and has, in fact, turned into a reality. These intelligent agents are required to understand…

Computation and Language · Computer Science 2023-04-17 Munazza Zaib , Quan Z. Sheng , Wei Emma Zhang , Adnan Mahmood

Many important questions (e.g. "How to eat healthier?") require conversation to establish context and explore in depth. However, conversational question answering (ConvQA) systems have long been stymied by scarce training data that is…

Computation and Language · Computer Science 2022-06-02 Zhuyun Dai , Arun Tejasvi Chaganty , Vincent Zhao , Aida Amini , Qazi Mamunur Rashid , Mike Green , Kelvin Guu

Developing novel research questions (RQs) often requires extensive literature reviews, especially in interdisciplinary fields. To support RQ development through human-AI co-creation, we leveraged Large Language Models (LLMs) to build an…

Human-Computer Interaction · Computer Science 2024-03-22 Yiren Liu , Si Chen , Haocong Cheng , Mengxia Yu , Xiao Ran , Andrew Mo , Yiliu Tang , Yun Huang

Large Language Models (LLMs), such as ChatGPT, have recently been applied to various NLP tasks due to its open-domain generation capabilities. However, there are two issues with applying LLMs to dialogue tasks. 1. During the dialogue…

Computation and Language · Computer Science 2023-10-06 Siwei Wu , Xiangqing Shen , Rui Xia

A good dialogue agent should have the ability to interact with users by both responding to questions and by asking questions, and importantly to learn from both types of interaction. In this work, we explore this direction by designing a…

Computation and Language · Computer Science 2017-02-14 Jiwei Li , Alexander H. Miller , Sumit Chopra , Marc'Aurelio Ranzato , Jason Weston

Automatic translation systems offer a powerful solution to bridge language barriers in scenarios where participants do not share a common language. However, these systems can introduce errors leading to misunderstandings and conversation…

Computation and Language · Computer Science 2025-07-01 José Pombal , Sweta Agrawal , Patrick Fernandes , Emmanouil Zaranis , André F. T. Martins

We present QuAC, a dataset for Question Answering in Context that contains 14K information-seeking QA dialogs (100K questions in total). The dialogs involve two crowd workers: (1) a student who poses a sequence of freeform questions to…

Computation and Language · Computer Science 2018-08-29 Eunsol Choi , He He , Mohit Iyyer , Mark Yatskar , Wen-tau Yih , Yejin Choi , Percy Liang , Luke Zettlemoyer

We explore question generation in the context of knowledge-grounded dialogs focusing on explainability and evaluation. Inspired by previous work on planning-based summarisation, we present a model which instead of directly generating a…

Computation and Language · Computer Science 2024-04-12 Juliette Faille , Quentin Brabant , Gwenole Lecorve , Lina M. Rojas-Barahona , Claire Gardent

Dialogue agents that interact with humans in situated environments need to manage referential ambiguity across multiple modalities and ask for help as needed. However, it is not clear what kinds of questions such agents should ask nor how…

Computation and Language · Computer Science 2021-10-14 Felix Gervits , Gordon Briggs , Antonio Roque , Genki A. Kadomatsu , Dean Thurston , Matthias Scheutz , Matthew Marge

We investigate the difficulty levels of questions in reading comprehension datasets such as SQuAD, and propose a new question generation setting, named Difficulty-controllable Question Generation (DQG). Taking as input a sentence in the…

Computation and Language · Computer Science 2019-05-31 Yifan Gao , Lidong Bing , Wang Chen , Michael R. Lyu , Irwin King

Cognitive presence and social presence are crucial for a comprehensive learning experience. Despite the flexibility of asynchronous learning environments to accommodate individual schedules, the inherent constraints of asynchronous…

Human-Computer Interaction · Computer Science 2024-10-08 Tianjia Wang , Tong Wu , Huayi Liu , Chris Brown , Yan Chen

Open conversations are one of the most engaging forms of teaching. However, creating those conversations in educational software is a complex endeavor, especially if we want to address the needs of different audiences. While language models…

Computation and Language · Computer Science 2024-04-17 Donya Rooein , Dirk Hovy

What if accessing the web did not require a screen, a stable desk, or even free hands? For people navigating crowded cities, living with low vision, or experiencing cognitive overload, smart glasses coupled with AI agents could turn the web…

Human-Computer Interaction · Computer Science 2026-03-03 Sicheng Yang , Yukai Huang , Weitong Cai , Shitong Sun , Fengyi Fang , You He , Yiqiao Xie , Jiankang Deng , Hang Zhang , Jifei Song , Zhensong Zhang

With a lot of work about context-free question answering systems, there is an emerging trend of conversational question answering models in the natural language processing field. Thanks to the recently collected datasets, including QuAC and…

Computation and Language · Computer Science 2019-11-28 Ting-Rui Chiang , Hao-Tong Ye , Yun-Nung Chen

One of the exciting capabilities of recent language models for dialog is their ability to independently search for relevant information to ground a given dialog response. However, obtaining training data to teach models how to issue search…

Computation and Language · Computer Science 2023-12-27 Yonatan Bitton , Shlomi Cohen-Ganor , Ido Hakimi , Yoad Lewenberg , Roee Aharoni , Enav Weinreb

Successful conversations often rest on common understanding, where all parties are on the same page about the information being shared. This process, known as conversational grounding, is crucial for building trustworthy dialog systems that…

Computation and Language · Computer Science 2024-03-26 Biswesh Mohapatra , Seemab Hassan , Laurent Romary , Justine Cassell

This research article explores the potential of Artificial Intelligence (AI) and Chat Generative Pre-trained Transformers (ChatGPT) in revolutionizing the landscape of parental support and child care. With the advancement of generative AI,…

Human-Computer Interaction · Computer Science 2024-07-16 Mohsena Ashraf

Conversational interfaces that allow for intuitive and comprehensive access to digitally stored information remain an ambitious goal. In this thesis, we lay foundations for designing conversational search systems by analyzing the…

Information Retrieval · Computer Science 2019-12-17 Svitlana Vakulenko