Schedule and Readings
(subject to changes)
Post questions on readings in Piazza
use specific folder, e.g. "Jan 18" to post the questions for the corresponding class
Make sure to use the provided template for your summaries, maintaining its headings and structure
SIGN UP FOR YOUR PRESENTATION HERE By THURSDAY JAN 25.
January
Jan. 11 |
Introduction |
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User-Adaptive Systems |
A. Jameson. "Adaptive Interfaces and Agents" in Human-Computer Interface Handbook, 2008 Read from Usability Challenges (p. 13) to p 22. For the rest of the content you can rely in the slides that we covered in class
[updated with content from Jan 18]
Two question by 4pm on Monday, Jan 15 No summary post questions in Piazza, folder "Jan11" |
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Jan 18
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Supporting System Use:
Taking Over Routing tasks Provision of Help |
E. Horvitz. Principles of Mixed-Initiative User Interfaces. CHI '99, 159166 One question by noon Wednesday, Jan 17 No summary
Bunt A., Conati C. and McGrenere J. (2007). Supporting Interface Customization Using a Mixed-Initiative Approach. IUI 2007, International Conference on Intelligent User Interfaces, 92-101. One Question by 4pm Wednesday, Jan 17 No summary post questions in Piazza folder "Jan18"
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Jan 25 |
Provision of Help Adapting the Interface |
Bunt A., Conati C. and McGrenere J. (2007). Supporting Interface Customization Using a Mixed-Initiative Approach. IUI 2007, International Conference on Intelligent User Interfaces, 92-101. REVIEW your questions to discuss in class slides on MICA slides on p value and effect size
Freye et at (2023)
Lessons Learned
from Designing and Evaluating CLAICA: A IUI 2023, International Conference on Intelligent User Interfaces, 553-567 (but lots of big pictures)
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Pilzer et Al (2020) Supporting Software Developers' Focused Work on Window-Based Desktops CHI 2020
2
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Feb 1 | Adapting the Interface/information presentation |
Liu et al (2017) BIGnav: Bayesian Information Gain for Guiding Multiscale Navigation (link) , CHI 2017, p. 5869-5880 [Gauransh]
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Gajos, K. et al (2006) . Exploring the design space for adaptive graphical user interfaces. In Proceedings of AVI ’06, Advanced Visual Interfaces
Lallé, et
al. (2021)
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Feb 8 | Supporting Human Learning |
Aleven et al. (2023). c1. Chapter 7 in Handbook of AI in Education (mandatory pp 127-138, Bayesian Networks Excluded). [Katherine Breen]
Adaptation Cycle for KT and CBM
Gajos, K. et al (2006) . Exploring the design space for adaptive graphical user interfaces. In Proceedings of AVI ’06, Advanced Visual Interfaces summary by 4pm on Wednesday. BE PREPARED TO ASK YOUR QUESTIONS from last Thursday in CLASS
[SLIDES]
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Feb 15 | Supporting Human Learning |
Kardan
and Conati (2015)
Gupta et al (2023) Enhancing Stealth Assessment in Collaborative Game-Based Learning with Multi-task Learning. AIED 2023: 304-315 [Shivam Chandhok]
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[these two readings go together [Romina Mahinpei] Alam et al (2023), Does Knowing When Help Is Needed Improve Subgoal Hint Performance in an Intelligent Data-Driven Logic Tutor? AAAI 2023: 15895-15902 Maniktala et al (2020) Extending the Hint Factory for the assistance dilemma: A novel, data-driven HelpNeed Predictor for proactive problem-solving help (just section 4 p. (5-14) [provides more details on the techniques in previous paper]
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Feb 22 | reading week | |
Feb 29 |
Project Proposals
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Each proposal should
be presented with slides that describe - the problem (strongly recommended to use a running example to clarify) - brief summary of relevant related work - tentative proposed solution(s), - envisioned challenges - tentative workplan and timeline One of the purposes of this presentation is to get feedback from the class, so feel free to mention specific points on which you may want this feedback. Plan for about XXX of presentation. The 3-page proposal mentioned in the syllabus (containing the same info as above) will not be due until Friday end of the day
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Modeling and Responding To Affect |
Correya et al (2018)
Group-based Emotions in Teams of Humans and Robots. HRI 2018: 261-269
[[Seungyeon
Baek]
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Mar 8 | Modeling and Responding To Affect |
Conati C. (2011)
Combining cognitive appraisal
and sensors for affect detection in a framework for modeling user affect
New perspectives on affect and learning technologies,71-83
S
D'Mello et al (2023) Affect Detection From Wearables in the "Real" Wild: Fact, Fantasy, or Somewhere In between? IEEE Intell. Syst. 38(1): 76-84 (2023) [Vedant Bahel]
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Mar 15 | Support to Info Acquisition/Decision Making |
Good,N.,et al .,Combining
Collaborative Filtering with Personal Agents for Better Recommendations.
Proceedings of the 1999 Conference of the American Association of
Artificial Intelligence (AAAI-99). pp 439-44[Ishvani Hans]
Feleey et at (2023) Modelling the Training Practices of Recreational Marathon Runners to Make Personalized Training Recommendations. UMAP 2023: 183-193 [Shashwat Suri]
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Mar 22 | Project updates |
Project Update - 6' per group Make sure to include for sure - the changes you made in response to feedback you received on the proposal - an updated project timeline If you have time,you can also - describe progress made so far - discuss any challenges encountered and your ideas on how to overcome them |
Transparency and Explain ability |
Shabel et al (2020) The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation. SIGIR 2020: 991-1000 [ Mehar]
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Mar 29 | Transparency and Explainability |
Schemmer et al (2023)
Appropriate Reliance on AI Advice: Conceptualization and the Effect of
Explanations. IUI 2023 p 410-420[Ekaterina]
Unraveling ML Models of Emotion With NOVA: Multi-Level Explainable AI for Non-Experts. IEEE Trans. Affect. Comput. 13(3): 1155-1167 (2022) [Kaseya]
Conati et a. (2022) Personalized XAI for AI-driven Personalization. XAI workshop@I IJCAI 2022 THIS PAPER IS FROM LAST WEEK, please make sure to review it and know your 2 questions
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April 4 | Socially Intelligent Agents |
Vedant will present the results of his study which is a follow-up to the
Personalized XAI paper
Ritschel, et al (2019)I Irony Man: Augmenting a Social Robot with the Ability to Use Irony in Multimodal Communication with Humans. AAMAS 2019: 86-94 [Annie]
Abulimiti
et al (2023)
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April 11 |
Maximum presentation time
- group of 3: 15' - group of 2: 10' - one person: 7' plus time for questions Make sure that your presentation includes - the problem you are addressing and how it is related to the course - clear positioning of your project with respect to related work - your proposed solution - evaluation, if any. - discussion of contributions - limitations - possibilities for future work. These last two points are very important. A good discussion here can compensate for limitations in what you actually managed to do.
FINAL REPORT DUE APRIL 22 |