activity
20142026
most citedExploring EFL students' prompt engineering in human-AI story writing: an Activity Theory perspective

41 citations · 116 across the 13 of their papers we have counts for

collaborators

13 papers

cs.HC2026

The Crutch or the Ceiling? How Different Generations of LLMs Shape EFL Student Writings

Hengky Susanto, David James Woo, Chingyi Yeung +2

The rapid evolution of Large Language Models (LLMs) has made them powerful tools for enhancing student writing. This study explores the extent and limitations of LLMs in assisting…

cs.CL2025★ 2 cited

Approaching the Limits to EFL Writing Enhancement with AI-generated Text and Diverse Learners

David James Woo, Hengky Susanto, Chi Ho Yeung +1

Generative artificial intelligence (AI) chatbots, such as ChatGPT, are reshaping how English as a foreign language (EFL) students write since students can compose texts by integrat…

cs.HC2023★ 2 cited

EFL Students' Attitudes and Contradictions in a Machine-in-the-loop Activity System

David James Woo, Hengky Susanto, Kai Guo

This study applies Activity Theory and investigates the attitudes and contradictions of 67 English as a foreign language (EFL) students from four Hong Kong secondary schools toward…

cs.HC2023★ 9 cited

Cases of EFL Secondary Students' Prompt Engineering Pathways to Complete a Writing Task with ChatGPT

David James Woo, Kai Guo, Hengky Susanto

ChatGPT is a state-of-the-art (SOTA) chatbot. Although it has potential to support English as a foreign language (EFL) students' writing, to effectively collaborate with it, a stud…

cs.CY2023★ 41 cited

Exploring EFL students' prompt engineering in human-AI story writing: an Activity Theory perspective

David James Woo, Kai Guo, Hengky Susanto

This study applies Activity Theory to investigate how English as a foreign language (EFL) students prompt generative artificial intelligence (AI) tools during short story writing.…

cs.CL2023★ 5 cited

The Role of AI in Human-AI Creative Writing for Hong Kong Secondary Students

Hengky Susanto, David James Woo, Kai Guo

The recent advancement in Natural Language Processing (NLP) capability has led to the development of language models (e.g., ChatGPT) that is capable of generating human-like langua…

cs.CL2023★ 15 cited

Exploring AI-Generated Text in Student Writing: How Does AI Help?

David James Woo, Hengky Susanto, Chi Ho Yeung +2

English as foreign language_EFL_students' use of text generated from artificial intelligence_AI_natural language generation_NLG_tools may improve their writing quality. However, it…

cs.CY2022★ 39 cited

Understanding EFL Student Idea Generation Strategies for Creative Writing with NLG Tools

David James Woo, Yanzhi Wang, Hengky Susanto +1

Natural language generation (NLG) is a process within artificial intelligence where computer systems produce human-comprehensible language texts from information. English as a fore…

cs.NI2017

User Tolerance and Self-Regulation in Congestion Control

Hengky Susanto, Byung Guk Kim, Benyuan Liu

In response to poor quality of service (QoS), users self-regulate, i.e. they immediately release bandwidth and abandon network. However, there are studies that show users are willi…

cs.NI2017

Pricing and Revenue Sharing for Secondary Data Market

Hengky Susanto, Bhanu Kaushik, Benyuan Liu +2

Recent advances in technology enable public or commercial establishments and individual data plan subscribers to operate as Wi-Fi providers, offering Internet access. However, the…

cs.NI2016

Practical Recovery Solution for Information Loss in Real-Time Network Environment

Hengky Susanto, ByungGuk Kim

Feedback mechanism based algorithms are frequently used to solve network optimization problems. These schemes involve users and network exchanging information (e.g. requests for ba…

cs.NI2015★ 3 cited

Auction-based Incentive Mechanisms for Dynamic Mobile Ad-Hoc Crowd Service

Honggang Zhang, Benyuan Liu, Hengky Susanto +1

We investigate a type of emerging user-assisted mobile applications or services, referred to as Dynamic Mobile Ad-hoc Crowd Service (DMACS), such as collaborative streaming via sma…

cs.NI2014

QoE Support for Multi-Layered Multimedia Applications

Hengky Susanto, ByungGuk Kim, Benyuan Liu

Congestion control protocol and bandwidth allocation problems are often formulated into Network Utility Maximization (NUM) framework. Existing solutions for NUM generally focus on…