A5023364449- Human Mobility and Location-Based Analysis
- Digital Marketing and Social Media
- Complex Network Analysis Techniques
- Topic Modeling
- Data-Driven Disease Surveillance
- Recommender Systems and Techniques
- scientometrics and bibliometrics research
- Technology Adoption and User Behaviour
- Artificial Intelligence in Healthcare and Education
- Advanced Text Analysis Techniques
- Team Dynamics and Performance
- Data Management and Algorithms
- Opinion Dynamics and Social Influence
- Research Data Management Practices
- Scientific Computing and Data Management
- Mental Health via Writing
- Traffic Prediction and Management Techniques
- Impact of Technology on Adolescents
- Natural Language Processing Techniques
- Creativity in Education and Neuroscience
- Innovative Approaches in Technology and Social Development
- ICT in Developing Communities
- Ethics and Social Impacts of AI
- Opportunistic and Delay-Tolerant Networks
- Online Learning and Analytics
Stanford University
2019-2024
Nanjing University of Science and Technology
2023
Tsinghua University
2018-2021
Carnegie Mellon University
2020
Southern California University for Professional Studies
2020
University of Southern California
2020
Among creative professionals, Generative Artificial Intelligence (GenAI) has sparked excitement over its capabilities and fear unanticipated consequences. How does GenAI impact User Experience Design (UXD) practice, are fears warranted? We interviewed 20 UX Designers, with diverse experience across companies (startups to large enterprises). probed them characterize their practices, sample attitudes, concerns, expectations. found that experienced designers confident in originality,...
We present an approach for estimating the fraction of text in a large corpus which is likely to be substantially modified or produced by language model (LLM). Our maximum likelihood leverages expert-written and AI-generated reference texts accurately efficiently examine real-world LLM-use at level. apply this case study scientific peer review AI conferences that took place after release ChatGPT: ICLR 2024, NeurIPS 2023, CoRL 2023 EMNLP 2023. results suggest between 6.5% 16.9% submitted as...
The COVID-19 global pandemic and resulted lockdown policies have forced education in nearly every country to switch from a traditional co-located paradigm pure online 'distance learning home' paradigm. Lying the center of this shift is emergence wide adoption distance communication tools live streaming platforms for education. Here, we present mixed-methods study on based experience during pandemic. We focus our analysis Chinese higher education, carried out semi-structured interviews 30...
Scientific publishing lays the foundation of science by disseminating research findings, fostering collaboration, encouraging reproducibility, and ensuring that scientific knowledge is accessible, verifiable, built upon over time. Recently, there has been immense speculation about how many people are using large language models (LLMs) like ChatGPT in their academic writing, to what extent this tool might have an effect on global practices. However, we lack a precise measure proportion...
Recognizing representative living patterns in population is extremely valuable for urban planning and decision making. Thanks to the growing popularity of location-based applications check-ins on social networking sites, Point Interest (POI) a location quite often available trajectory data, which expresses user semantics. However, adopting semantics pattern recognition an open challenging research problem due three major technical challenges: effective feature representation, suitable...
The prevalence of smartphones has promoted the popularity mobile apps in recent years. Although significant effort been made to understand app usage, existing studies are based primarily on short-term datasets with limited time span, e.g., a few months. Therefore, many basic facts about long-term evolution usage unknown. In this paper, we study how evolves over period. We first introduce an collection platform named carat, from which have gathered records 1,465 users 2012 2017. then conduct...
Many real-world applications of language models (LMs), such as writing assistance and code autocomplete, involve human-LM interaction. However, most benchmarks are non-interactive in that a model produces output without human involvement. To evaluate interaction, we develop new framework, Human-AI Language-based Interaction Evaluation (HALIE), defines the components interactive systems dimensions to consider when designing evaluation metrics. Compared standard, evaluation, HALIE captures (i)...
Expert feedback lays the foundation of rigorous research. However, rapid growth scholarly production and intricate knowledge specialization challenge conventional scientific mechanisms. High-quality peer reviews are increasingly difficult to obtain. Researchers who more junior or from under-resourced settings have especially hard times getting timely feedback. With breakthrough large language models (LLM) such as GPT-4, there is growing interest in using LLMs generate on research...
What conditions enable novel intellectual contributions to diffuse and become integrated into later scientific work? Prior work tends focus on whole cultural products, such as patents articles, emphasizes external social factors important. This article focuses concepts reflections of ideas, we identify the combined influence that internal structures have ideational diffusion. To develop this perspective, use computational techniques nearly 60,000 new ideas introduced over two decades (1993...
The recent advances in large language models (LLMs) attracted significant public and policymaker interest its adoption patterns. In this paper, we systematically analyze LLM-assisted writing across four domains-consumer complaints, corporate communications, job postings, international organization press releases-from January 2022 to September 2024. Our dataset includes 687,241 consumer 537,413 releases, 304.3 million 15,919 United Nations (UN) releases. Using a robust population-level...
With the rapid process of urbanization, revealing underlying mechanisms behind urban mobility has become a crucial research problem. The movements dwellers are often constituted by their daily routines, and exhibit distinct contextual temporal modes, i.e., patterns individuals allocating time across different locations. In this paper, we investigate novel problem detecting popular modes in population-scale unlabelled trajectory data. Our key finding is that detected capture semantic feature...
Virtual meetings are critical for remote work because of the need synchronous collaboration in absence in-person interactions. In-meeting multitasking is closely linked to people’s productivity and wellbeing. However, we currently have limited understanding its potential impact. In this paper, present what believe most comprehensive study meeting behavior through an analysis a large-scale telemetry dataset collected from February May 2020 U.S. Microsoft employees 715-person diary study. Our...
As an emerging business phenomenon especially in China, instant messaging (IM) based social commerce is growing increasingly popular, attracting hundreds of millions users and becoming one important way where people make everyday purchases. Such platforms embed shopping experiences within IM apps, e.g., WeChat, WhatsApp, real-world friends post recommend products from the group chats quite often form lasting recommending/buying relationships. How why do engage commerce? Do such create novel...
Among creative professionals, Generative Artificial Intelligence (GenAI) has sparked excitement over its capabilities and fear unanticipated consequences. How does GenAI impact User Experience Design (UXD) practice, are fears warranted? We interviewed 20 UX Designers, with diverse experience across companies (startups to large enterprises). probed them characterize their practices, sample attitudes, concerns, expectations. found that experienced designers confident in originality,...
We present the first large-scale analysis of POI revisitation patterns, which aims to model periodic behavior in human mobility. apply technique, has previously been used understand website revisitation, and smartphone app revisitations. analyze a 1.5-year-long Foursquare check-in dataset with 266,909 users 415 cities around globe, as well Chinese social networking on continuous localization 15,000 Beijing. Our identifies four major patterns user distinct characteristics, demonstrates role...
Social e-commerce, as a new form of social computing based marketing platforms, utilizes existing real-world relationships for promotions and sales products. It has been growing rapidly in recent years attracted tens millions users China. A key group actors who enable market transactions on these platforms are intermediaries connect producers with consumers by sharing information recommending products to their contacts. Despite crucial role, the nature behavior e-commerce not systematically...
Understanding team viability --- a team's capacity for sustained and future success is essential building effective teams. In this study, we aggregate features drawn from the organizational behavior literature to train classification model over dataset of 669 10-minute text conversations online We classifiers identify teams at top decile (most viable teams), 50th percentile (above median split), bottom (least then characterize attributes each these levels. find that lasso regression achieves...
What is the impact of human-computer interaction research on industry? While it impossible to track all pathways, growing literature translational measurement offers patent citations as one measure how industry recognizes and draws in its inventions. In this paper, we perform a large-scale study primarily 70, 000 premier HCI venues, tracing are cited United States patents over last 30 years. We observe that 20.1% papers from these including 60–80% at UIST 13% broader dataset SIGCHI-sponsored...
Past few years have witnessed the emergence and phenomenal success of strong-tie based social commerce. Embedded in networking sites, these E-Commerce platforms transform ordinary people into sellers, where they advertise sell products to their friends family online networks. These sites can acquire millions users within a short time, are growing fast at an accelerated rate. However, little is known about how commerce develop as blend relationship economic transactions. In this paper we...
We investigate the potential for privacy leaks when users reveal their nearby Points-of-Interest (POIs). Specifically, we whether and how a person's location can be reverse-engineered that person simply reveals POI types (e.g. 2 schools 3 restaurants). approach our analysis by introducing "Location Re-identification" algorithm is computationally efficient. Using data from Open Street Map, conduct on datasets of multiple representative cities: New York City, Melbourne, Vancouver, Zurich...
Understanding crowd mobility in a metropolitan area is extremely valuable for city planners and decision makers. However, relatively new of research has significant technical challenges: lack large-scale fine-grained data, difficulties trajectory processing, issues with spatial resolution. In this article, we propose novel approach analyzing on “city block” level. We first algorithms to detect homes, working places, stay regions individual user trajectories. Next, method commute patterns...