How Does Presence Affect Trust in Simulated Autonomous Agents?

Autonomous agents present important novel capabilities for a wide swath of applications like simulating interactions between humans and agents. Simulating these interactions in VR has become an important tool for evaluating the effects of agents on human behavior and performance, including human-agent trust. This position paper presents research opportunities in the use of real-world multi-modal feedback and real-world priming experiences may have on the validity of trust measurements taken from simulated human-agent interactions in VR. In addition, it presents a hypothetical experiment addressing research questions related to this topic.

Authors

Institutions

Publication Details

Published
2025-03-08
DOI
https://doi.org/10.1109/vrw66409.2025.00109
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How Does Presence Affect Trust in Simulated Autonomous Agents?

Greg Welch, Hiroshi Furuya, Zubin Choudhary, Jasmine Joyce DeGuzman et al.
Adversarial Robustness in Machine Learning
article

How Does Presence Affect Trust in Simulated Autonomous Agents?

Greg Welch, Hiroshi Furuya, Zubin Choudhary, Jasmine Joyce DeGuzman, Matt Gottsacker, Gerd Bruder
article en

Abstract

Autonomous agents present important novel capabilities for a wide swath of applications like simulating interactions between humans and agents. Simulating these interactions in VR has become an important tool for evaluating the effects of agents on human behavior and performance, including human-agent trust. This position paper presents research opportunities in the use of real-world multi-modal feedback and real-world priming experiences may have on the validity of trust measurements taken from simulated human-agent interactions in VR. In addition, it presents a hypothetical experiment addressing research questions related to this topic.

University of Central Florida (US)
National Science Foundation, Office of Naval Research
Openalex Percentile: Top 96%
Adversarial Robustness in Machine Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

How Does Presence Affect Trust in Simulated Autonomous Agents? — Greg Welch, Hiroshi Furuya, et al. · (2025) | TGRS Research Map | TGRS