Joshua Mu-En Liu

Liu, J. M.-E.*, Weng, C. C.-H., Lin, Y.-H., Hsiao, P.-Y., & Hou, Y. T.-Y.. AI echoing in the backstage: Private AI consulting may strengthen confidence and limit depolarization. In Proceedings of the ACM Conversational User Interfaces 2026 (CUI ’26).[26% Acceptance rate]

Liu, J. M.-E.*, & Hou, Y. T.-Y.. Obedient machines make us everyday authoritarians: A power framework and research agenda for human–AI interaction. In Proceedings of the ACM Conversational User Interfaces 2026 (CUI ’26). [38% Acceptance rate]

Chen, Y. S., Hou, Y. T. Y., Lin, Y. H., Mu-En Liu, J., Chen, W., & Chen, Y. (2026, April). AI as the Phantom Limb: The Asymmetry of Attribution in Human vs. AI Delegation. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems(pp. 1-21). [25.3% Acceptance rate]

Liu, J. M.-E.*, Weng, C. C.-H., & Hou, Y. T.-Y. (2026). When flattery backfires: How sycophancy and interaction context shape perceived authenticity and trust in large language AI models. In Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (Article 754, pp. 1–6). [38.2% Acceptance rate]

Liu, J. M.-E.*, Weng, C. C.-H., Lin, Y.-H., Hsiao, P.-Y., & Hou, Y. T.-Y. (2026). When AI agrees, polarization sticks: Private AI consulting may increase confidence and reduce depolarization. In Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (Article 747, pp. 1–7). [38.2% Acceptance rate]