Presentation List

Student Paper Title Link Presentation Week
1 Nicole Interacting with Next-Phrase Suggestions: How Suggestion Systems Aid and Influence the Cognitive Processes of Writing https://dl.acm.org/doi/abs/10.1145/3581641.3584060 Week 7
2 Jose Luis LUNA CAMPOVERDE Living Memories: AI-Generated Characters as Digital Mementos https://dl-acm-org.libproxy.smu.edu.sg/doi/fullHtml/10.1145/3581641.3584065 Week 7
3 Nipuni Hansika Gaze Speedup: Eye Gaze Assisted Gesture Typing in Virtual Reality
https://dl.acm.org/doi/pdf/10.1145/3581641.3584072 Week 7
4 VIDANA Gamage Manusha Imesh Karunathilaka Augmented Math: Authoring AR-Based Explorable Explanations by Augmenting Static Math Textbooks
https://dl.acm.org/doi/10.1145/3586183.3606827 Week 7
5 Sidney TIO Xi Rong Subgoal-Based Explanations for Unreliable Intelligent Decision
Support Systems https://dl-acm-org.libproxy.smu.edu.sg/doi/10.1145/3581641.3584055 Week 7
6 HU Wenzhe CASES: A Cognition-Aware Smart Eyewear System for Understanding How People Read
Venue: IMWUT, Sep 2023 https://dl-acm-org.libproxy.smu.edu.sg/doi/abs/10.1145/3610910 Week 7
7 GE Zichang Powering an AI Chatbot with Expert Sourcing to Support Credible Health Information Access https://dl.acm.org/doi/10.1145/3581641.3584031 Week 7
8 NGUYEN Minh Quang GenAssist: Making Image Generation Accessible Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology http://dl.acm.org/doi/abs/10.1145/3586183.3606735
9 ZHANG Tianyi Mimic: In-Situ Recording and Re-Use of Demonstrations to Support Robot Teleoperation https://dl.acm.org/doi/10.1145/3526113.3545639 Week 7
10 BUI The Viet Automated Conversion of Music Videos into Lyric Videos https://dl.acm.org/doi/abs/10.1145/3586183.3606757 Week 9
11 Pham Hung Manh EarPPG: Securing Your Identity with Your Ears https://dl.acm.org/doi/abs/10.1145/3581641.3584070 Week 9
12 HU CHANGSHUO Unobtrusive Air Leakage Estimation for Earables with In-ear Microphones https://dl.acm.org/doi/pdf/10.1145/3631405 Week 9
13 Hoang Giang PHAM Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs https://doi-org.libproxy.smu.edu.sg/10.1145/3490099.3511160 Week 9
14 YANG YIFEI Generative Facial Expressions and Eye Gaze Behavior from Prompts for Multi-Human-Robot Interaction https://dl.acm.org/doi/10.1145/3586182.3616623 Week 9
15 XU CHENSHU Text-to-Image Generation Models for Visual Artists’ Creative Works https://dl.acm.org/doi/abs/10.1145/3581641.3584078. Week 9
16 DYLAN ALEXANDER SLAVIN HILLIER Lingoland: An AI-Assisted Immersive Game for Language Learning https://dl.acm.org/doi/fullHtml/10.1145/3586182.3625117 Week 9
17 LIANG JINGGUI The Role of Lexical Alignment in Human Understanding of Explanations by Conversational Agents https://dl-acm-org.libproxy.smu.edu.sg/doi/fullHtml/10.1145/3581641.3584086 Week 9
18 NGUYEN MINH ANH Photographic Lighting Design with Photographer-in-the-Loop Bayesian Optimization https://dl-acm-org.libproxy.smu.edu.sg/doi/abs/10.1145/3526113.3545690 Week 9

Instruction

PhD students should select a paper from IUI, UIST, or IMWUT/Ubicomp from the last two years. You can select a paper from CHI as well, but make sure to pick technical work. Then, prepare a 7-min presentation summarizing the paper you picked.

We will have a presentation days on Week 7 (20 Feb) after the mid-term. Depending on the number of PhD students, we may allocate one more presentation day.

In preparing the presentation, consider the following:

What is the main idea?

Describe what the authors did in this paper! Explain if the paper makes an artifact, evaluation, or other types of contribution. It could be (and tends to be) the combination of multiple contribution types!****

Why is it important?

The paper that you are presenting is peer-reviewed. Meaning that someone thought the research was a good piece of work and important. Explain why you think it is an important piece of work.****

How did they evaluate it?

The paper likely has some evaluation to support the argument they make. Explain how they did it and present the high-level result.

Discuss

If you have time, go deeper and discuss the paper. Did the authors successfully support their argument? What is the main advantage or novelty of this work over the past work? What are the implications of the evaluation results? What are the limitations and future work? What do you think about the paper overall?

Ideas for Choice of the Paper

Here are types of the work that I want you to read and present. The common theme is that they use computational methods for creating intelligent user interfaces and interaction methods.

A Model Predictive Control Approach for Reach Redirection in Virtual Reality

https://youtu.be/uFbVc8Mn75I?si=TaFMWfhETbfyHYqc

Eric J Gonzalez, Elyse D. Z. Chase, Pramod Kotipalli, Sean Follmer