Nina Lauharatanahirun

According to our database, Nina Lauharatanahirun authored at least 8 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Trusting in the competence of humans and artificially intelligent agents varying in generosity.

Richa Gautam, Nina Lauharatanahirun, Jasmin Cloutier, Jennifer T. Kubota

Comput. Hum. Behav. Artif. Humans, 2026

2025

MazeWorld: A Multiplayer 3D Research Testbed for Human Teaming, AI Agent Integration, and Multiple XR Disciplines.

Stephen J. Fieffer, Miki Matsumuro, Amanda K. Newendorp, Surya Sharma, Jonathan Isaac Segal, Lucas A. Lovig, Ghazal Shah Abadi, Ashley B. Deal, Hila Sabouni, Maral Jafari Ranjbar, Nina Lauharatanahirun, Michael C. Dorneich, Andrea Stevenson Won, Stephen B. Gilbert

Proceedings of the HCI International 2025 Posters, 2025

2023

Social perception in Human-AI teams: Warmth and competence predict receptivity to AI teammates.

Alexandra M. Harris-Watson, Lindsay E. Larson, Nina Lauharatanahirun, Leslie A. DeChurch, Noshir S. Contractor

Comput. Hum. Behav., August, 2023

Vero: An accessible method for studying human-AI teamwork.

Aaron Schecter, Jess Hohenstein, Lindsay E. Larson, Alexa M. Harris, Yoyo Tsung-Yu Hou, Wen-Ying Lee, Nina Lauharatanahirun, Leslie A. DeChurch, Noshir Contractor, Malte F. Jung

Comput. Hum. Behav., April, 2023

Algorithmic appreciation or aversion? The moderating effects of uncertainty on algorithmic decision making.

Aaron Schecter, Eric Bogert, Nina Lauharatanahirun

Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2021

Scale-specific dynamics of high-amplitude bursts in EEG capture behaviorally meaningful variability.

Kanika Bansal, Javier O. Garcia, Nina Lauharatanahirun, Sarah Feldt Muldoon, Paul Sajda, Jean M. Vettel

NeuroImage, 2021

2020

Adaptation in Human-Autonomy Teamwork.

Katia P. Sycara, Dana Hughes, Huao Li, Michael Lewis, Nina Lauharatanahirun

Proceedings of the IEEE International Conference on Human-Machine Systems, 2020

2019

A Minimum Free Energy Model of Motor Learning.

Brian A. Mitchell, Nina Lauharatanahirun, Javier O. Garcia, Nicholas F. Wymbs, Scott T. Grafton, Jean M. Vettel, Linda R. Petzold

Neural Comput., 2019