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 |
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:
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!****
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.****
The paper likely has some evaluation to support the argument they make. Explain how they did it and present the high-level result.
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?
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.
https://youtu.be/uFbVc8Mn75I?si=TaFMWfhETbfyHYqc
Eric J Gonzalez, Elyse D. Z. Chase, Pramod Kotipalli, Sean Follmer