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Zhitong Guan
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- 2026
[c3]Zelun Tony Zhang
, Nick von Felten
, Leon Reicherts
, Lev Tankelevitch
, Zhitong Guan
, Sean Rintel
, Yue Fu
, Jessica He
, Kenneth Holstein
, Advait Sarkar
, Gonzalo A. Ramos
, Anuschka Schmitt
, Anjali Singh
, Haotian Li
, Srishti Palani
, Peter Dalsgaard
:
Tools for Thought: Understanding, Protecting, and Augmenting Human Cognition with Generative AI - From Vision to Implementation. CHI Extended Abstracts 2026: 976:1-976:7
[c2]Zhitong Guan
:
Designing and Evaluating Generative AI Search Tools for Human Cognitive Augmentation. CHIIR 2026: 414-419
[i7]Anjali Singh, Karan Taneja, Zhitong Guan, Soo Young Rieh:
MetaCues: Enabling Critical Engagement with Generative AI for Information Seeking and Sensemaking. CoRR abs/2603.19634 (2026)
[i6]Yifan Liu, Jaime Arguello, Orland Hoeber, Chang Liu, Soo Young Rieh, Luanne Sinnamon, Dean Alvarez, Susan Archambault, Rob Capra, Henson Chen, Charles Costa, Anita Crescenzi, Zhitong Guan, Jacek Gwizdka, Pao-Pei Huang, Gavindya Jayawardena, Ghazal Kalhor, Dagmar Kern, Oliver Koop, Alice Li, Afra Mashhadi, Gaohui Meng, Marta Micheli, Anil B. Murthy, Kevin Schott, Sebastian Schultheiß, Jiwoo Seo, Phaneendra Sivangula, Frans van der Sluis, Xiaoxuan Song, Silang Wang, Dan Zhang:
Report on CHIIR 2026 Workshop on Generative AI and Academic Search (GAI&AS). CoRR abs/2606.08936 (2026)
[i5]Zhitong Guan, Soo Young Rieh:
Envisioning Sensemaking in Multi-Human, Multi-Agent Collaborative Knowledge Work. CoRR abs/2606.09840 (2026)- 2025
[i4]Anjali Singh, Karan Taneja, Zhitong Guan, Avijit Ghosh:
Protecting Human Cognition in the Age of AI. CoRR abs/2502.12447 (2025)
[i3]Anjali Singh, Zhitong Guan, Soo Young Rieh:
Enhancing Critical Thinking in Generative AI Search with Metacognitive Prompts. CoRR abs/2505.24014 (2025)
[i2]Zhitong Guan, Yi Wang:
Evolving Paradigms in Task-Based Search and Learning: A Comparative Analysis of Traditional Search Engine with LLM-Enhanced Conversational Search System. CoRR abs/2512.00313 (2025)- 2024
[c1]Zhitong Guan
, Zeyu Xiong
, Mingming Fan
:
FetchAid: Making Parcel Lockers More Accessible to Blind and Low Vision People With Deep-learning Enhanced Touchscreen Guidance, Error-Recovery Mechanism, and AR-based Search Support. CHI 2024: 39:1-39:15
[i1]Zhitong Guan, Zeyu Xiong, Mingming Fan
:
FetchAid: Making Parcel Lockers More Accessible to Blind and Low Vision People With Deep-learning Enhanced Touchscreen Guidance, Error-Recovery Mechanism, and AR-based Search Support. CoRR abs/2402.15723 (2024)
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