Date | Topic | Reading | Presenter | | | | | | | | | | | | | | | | | | | | | |
21-Aug | Introduction and Course Overview | Licklider, Joseph CR. "Man-computer symbiosis." IRE transactions on human factors in electronics 1 (1960): 4-11. (read in class) | DO NOT SIGN UP | | | | | | | | | | | | | | | | | | | | | |
Shyam Sankar. The Rise of Human Computer Cooperation. TED Talk Video, 2012 (12 mins). | | | | | | | | | | | | | | | | | | | | | |
23-Aug | Primer on AI | Lubars, Brian, and Chenhao Tan. "Ask not what AI can do, but what AI should do: Towards a framework of task delegability." In Advances in Neural Information Processing Systems, pp. 57-67. 2019. | | | | | | | | | | | | | | | | | | | | | |
Xu, Anbang, Zhe Liu, Yufan Guo, Vibha Sinha, and Rama Akkiraju. "A new chatbot for customer service on social media." In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 3506-3510. 2017. | | | | | | | | | | | | | | | | | | | | | |
Nityesh Agarwal. "Getting started with reading Deep Learning Research papers: The Why and the How", a blog post at Towards Data Science (2018). | | | | | | | | | | | | | | | | | | | | | |
28-Aug | LLM Overview | Shanahan, M. (2022). Talking about large language models. arXiv preprint arXiv:2212.03551. Optional: Zhao, W. X., Zhou, K., Li, J., Tang, T., Wang, X., Hou, Y., ... & Wen, J. R. (2023). A survey of large language models. arXiv preprint arXiv:2303.18223. | | | | | | | | | | | | | | | | | | | | | |
1. Can Computers Learn Common Sense?, The New Yorker, 2022 (optional)The Race to Make A.I. Smaller (and Smarter) 2. A mental health tech company ran an AI experiment on real users. Nothing’s stopping apps from conducting more. | | | | | | | | | | | | | | | | | | | | | |
30-Aug | Primer on HCI | Amershi, Saleema, et al. "Guidelines for human-AI interaction." Proceedings of the 2019 chi conference on human factors in computing systems. 2019. | | | | | | | | | | | | | | | | | | | | | |
Yang et al., Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design (CHI 2020) | | | | | | | | | | | | | | | | | | | | | |
Shneiderman, B., "Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy." International Journal of Human-Computer Interaction 36, 6, 495-504. 2020. | | | | | | | | | | | | | | | | | | | | | |
4-Sep | Labor Day No Classes | | | | | | | | | | | | | | | | | | | | | | |
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6-Sep | LLM Tutorial - 1 (come to class with laptop) | | | | | | | | | | | | | | | | | | | | | | |
11-Sep | Prompting - 1 | Zamfirescu-Pereira, J. D., Wong, R. Y., Hartmann, B., & Yang, Q. (2023, April). Why Johnny can’t prompt: how non-AI experts try (and fail) to design LLM prompts. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-21). | Zihao Lin + Sophia Stil | | | | | | | | | | | | | | | | | | | | | |
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts, Tongshuang Wu, Michael Terry, Carrie J Cai - CHI 2022 | Lance Wilhelm | | | | | | | | | | | | | | | | | | | | | |
Skim: Liu, P., Yuan, W., Fu, J., Jiang, Z., Hayashi, H., & Neubig, G. (2023). Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing. ACM Computing Surveys, 55(9), 1-35. | Hossein Naderi | | | | | | | | | | | | | | | | | | | | | |
13-Sep | Prompting - 2 | PromptChainer: Chaining Large Language Model Prompts through Visual Programming, Tongshuang Wu, Ellen Jiang, Aaron Donsbach, Jeff Gray, Alejandra Molina, Michael Terry, Carrie J Cai - CHI 2022 | Kaike Ping | | | | | | | | | | | | | | | | | | | | | |
Wei, Jason, et al. "Chain-of-thought prompting elicits reasoning in large language models." Advances in Neural Information Processing Systems 35 (2022): 24824-24837. | Yeana Bond | | | | | | | | | | | | | | | | | | | | | |
18-Sep | LLM Tutorial - 2 (come to class with laptop) | | | | | | | | | | | | | | | | | | | | | | |
20-Sep | Fairness, Accountability, Transparency & Ethics in LLMs - 1 | Prabhakaran, Vinodkumar, Ben Hutchinson, and Margaret Mitchell. "Perturbation sensitivity analysis to detect unintended model biases." arXiv preprint arXiv:1910.04210 (2019). | Haritha Gnanasegar | | | | | | | | | | | | | | | | | | | | | |
Goyal, Nitesh, et al. "Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation." Proceedings of the ACM on Human-Computer Interaction 6.CSCW2 (2022): 1-28. | Srujan Vithalani | | | | | | | | | | | | | | | | | | | | | |
Clark, Elizabeth, et al. "All that's' human'is not gold: Evaluating human evaluation of generated text." arXiv preprint arXiv:2107.00061 (2021). | Daniel Palamarchuk | | | | | | | | | | | | | | | | | | | | | |
25-Sep | Fairness, Accountability, Transparency & Ethics in LLMs - 2 | Jakesch, M., Bhat, A., Buschek, D., Zalmanson, L., & Naaman, M. (2023, April). Co-writing with opinionated language models affects users’ views. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-15). | Steven DeVerteuil | | | | | | | | | | | | | | | | | | | | | |
Wenzel, K., Devireddy, N., Davison, C., & Kaufman, G. (2023, April). Can Voice Assistants Be Microaggressors? Cross-Race Psychological Responses to Failures of Automatic Speech Recognition. In Proceedings of the 2023 CHI Conference on Human Factors in Com | Lemara Williams | | | | | | | | | | | | | | | | | | | | | |
27-Sep | Fairness, Accountability, Transparency & Ethics in LLMs - 3 | “Because AI is 100% right and safe”: User Vulnerabilities and Sources of AI Authority in India, Shivani Kapania, Oliver Siy, Gabe Clapper, Azhagu SP, Nithya Sambasivan - CHI 2022 | | | | | | | | | | | | | | | | | | | | | | |
Mendelsohn, J., Bras, R. L., Choi, Y., & Sap, M. (2023). From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models. arXiv preprint arXiv:2305.17174. | Balu | | | | | | | | | | | | | | | | | | | | | |
2-Oct | Project Pitch Presentations | | | | | | | | | | | | | | | | | | | | | | |
4-Oct | Project Pitch Presentations | | | | | | | | | | | | | | | | | | | | | | |
9-Oct | Columbus Day | | | | | | | | | | | | | | | | | | | | | | |
11-Oct | LLM-Supported Health Care | Jo, E., Epstein, D. A., Jung, H., & Kim, Y. H. (2023, April). Understanding the benefits and challenges of deploying conversational AI leveraging large language models for public health intervention. (CHI 2023) | Xiaozheng | | | | | | | | | | | | | | | | | | | | | |
Chen, S., Wu, M., Zhu, K. Q., Lan, K., Zhang, Z., & Cui, L. (2023). LLM-empowered Chatbots for Psychiatrist and Patient Simulation: Application and Evaluation. arXiv preprint arXiv:2305.13614. | Ashish | | | | | | | | | | | | | | | | | | | | | |
October 16 - 18 | Instuctor is out of town for CSCW | | | | | | | | | | | | | | | | | | | | | | |
23-Oct | Tutorial: Web Application Hosting for LLM-Powered Tools (come to class with laptop) | | | | | | | | | | | | | | | | | | | | | | |
25-Oct | LLM Accesibility and Neurodiversity | Valencia, S., Cave, R., Kallarackal, K., Seaver, K., Terry, M., & Kane, S. K. (2023, April). “The less I type, the better”: How AI Language Models can Enhance or Impede Communication for AAC Users. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-14). | Andrew Fang | | | | | | | | | | | | | | | | | | | | | |
For Some Autistic People, ChatGPT Is a Lifeline, WIRED, 2023 | Stanley Gabriel + Malik | | | | | | | | | | | | | | | | | | | | | |
Elshentenawy, M., Ahmed, M., Elalfy, M., Bakr, A., Heidar, M., & Amer, E. (2023, July). Intellibot: A Personalized Behavioral Analysis Chatbot Framework Powered by GPT-3. In 2023 Intelligent Methods, Systems, and Applications (IMSA) (pp. 136-141). IEEE. | | | | | | | | | | | | | | | | | | | | | |
30-Oct | LLM-Supported Work: Writing | CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities Mina Lee, Percy Liang, Qian Yang CHI 2022 | Siddharth Chintamaneni | | | | | | | | | | | | | | | | | | | | | |
Tale Brush: Sketching Stories with Generative Pretrained Language Models, John Joon Young Chung, Wooseok Kim, Kang Min Yoo, Hwaran Lee, Eytan Adar, Minsuk Chang CHI2022 | Taufiq Daryanto | | | | | | | | | | | | | | | | | | | | | |
1-Nov | LLM-Supported Work: Research | Hämäläinen, P., Tavast, M., & Kunnari, A. (2023, April). Evaluating large language models in generating synthetic hci research data: a case study. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-19). | Nicholas Kong | | | | | | | | | | | | | | | | | | | | | |
Park, Joon Sung, et al. "Social Simulacra: Creating Populated Prototypes for Social Computing Systems." Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology. 2022. | Kaiyi Chen | | | | | | | | | | | | | | | | | | | | | |
6-Nov | Prototype + Midterm Presentation | | | | | | | | | | | | | | | | | | | | | | |
8-Nov | Prototype + Midterm Presentation | | | | | | | | | | | | | | | | | | | | | | |
13-Nov | Multimodality | Zhao, L., Yu, E., Ge, Z., Yang, J., Wei, H., Zhou, H., ... & Zhang, X. (2023). ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning. arXiv preprint arXiv:2307.09474. (Demo: https://chatspot.streamlit.app/) | Nikhil Narra | | | | | | | | | | | | | | | | | | | | | |
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models (demo: https://www.youtube.com/watch?v=EWFixIk4vjs&t=2s) | Luis Lazcano | | | | | | | | | | | | | | | | | | | | | |
15-Nov | Text to Visual/ Audio | Lyu, C., Wu, M., Wang, L., Huang, X., Liu, B., Du, Z., ... & Tu, Z. (2023). Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration. arXiv preprint arXiv:2306.09093. | Ragul S | | | | | | | | | | | | | | | | | | | | | |
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models; Demo: HuggingFace Suno Bark Application or Demo of Choice | Premith Kumar Chilukuri | | | | | | | | | | | | | | | | | | | | | |
November 19 - 23 | Thanksgiving Break | | | | | | | | | | | | | | | | | | | | | | |
27-Nov | Creative Applications | FaceChat: An Emotion-Aware Face-to-face Dialogue Framework | Tong Zeng | | | | | | | | | | | | | | | | | | | | | |
Park, J. S., O'Brien, J. C., Cai, C. J., Morris, M. R., Liang, P., & Bernstein, M. S. (2023). Generative agents: Interactive simulacra of human behavior. arXiv preprint arXiv:2304.03442. | Adnan Abbas | | | | | | | | | | |
29-Nov | No Class, Work on Final Project | | | | | | | | | | | | | | | | | | | | | | |
4-Dec | Final Presentation | | | | | | | | | | | | | | | | | | | | | | |
6-Dec | Final Presentation | | | | | | | | | | | | | | | | | | | | | | |