A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
Impact of Agent Reliability and Predictability on Trust in Real Time Human-Agent Collaboration
2020
Proceedings of the 8th International Conference on Human-Agent Interaction
Preserved Fulltext
In addition, we modelled the human-agent trust relationship and demonstrated that it is possible to reliably predict users' trust ratings using real-time interaction data. ...
While past work has studied how trust relates to an agent's reliability, it has been mainly carried out in turn based scenarios, rather than during real-time ones. ...
ACKNOWLEDGMENTS We thank the Thales company for their on-going support in the project. ...
doi:10.1145/3406499.3415063
dblp:conf/hai/DaronnatAHD20
fatcat:2dooj7jq5bcjfegde3qquqteda
Human-Agent Trust Relationships in a Real-Time Collaborative Game
2020
Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
We then study the impact that different agents have on reliance, performance, cognitive load and trust. We seek to understand which aspects of an agent influence the development of trust the most. ...
We hope to pave the way for trust-aware agents, capable of adapting their behaviours to users in real-time. ...
These findings further highlight the importance of predictability and consistency in the design of potentially error-prone agents, and how it impacts human-agent collaboration in real-time. ...
doi:10.1145/3383668.3419953
dblp:conf/chiplay/Daronnat20
fatcat:f3i2ld2rnnfxlm5malhs7gzov4
Inferring Trust From Users' Behaviours; Agents' Predictability Positively Affects Trust, Task Performance and Cognitive Load in Human-Agent Real-Time Collaboration
2021
Frontiers in Robotics and AI
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Our work focuses on how agents' predictability affects cognitive load, performance and users' trust in a real-time human-agent collaborative task. ...
Collaborative virtual agents help human operators to perform tasks in real-time. ...
ACKNOWLEDGMENTS We thank the Thales company for their on-going support in the project as well as all the participants that took part in this study. ...
doi:10.3389/frobt.2021.642201
fatcat:2pwbewc35jhubagqhxqadw4pqi
Using fNIRS to Identify Transparency- and Reliability-Sensitive Markers of Trust Across Multiple Timescales in Collaborative Human-Human-Agent Triads
2022
Frontiers in Neuroergonomics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
real time. ...
Transparency and reliability levels are found to significantly affect trust in the agent, while transparency explanations do not impact mental demand. ...
In other words, can fNIRS data be used in real-time machine learning models to predict whether or not a human is likely to rely on an AI suggestion? ...
doi:10.3389/fnrgo.2022.838625
fatcat:cs3regoy3ncfzijm4g5dji7ymq
Exploring Trust in Human-Agent Collaboration
2019
European Conference on Computer Supported Cooperative Work
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
trust in human-agent collaboration. ...
real-life settings, while concepts embraced in CSCW can lead to a more thorough understanding of the situatedness and dynamics of trust going beyond the attributes of the agent itself. ...
Different collaboration formations are also likely to impact issues of trust in human-agent collaboration studies but to date this has not been well explored, especially in complex real world settings ...
doi:10.18420/ecscw2019_ep08
dblp:conf/ecscw/SchwaningerFW19
fatcat:yhpm75kod5bz7ksn35ulofe5ay
Towards Modeling Real-Time Trust in Asymmetric Human–Robot Collaborations
[chapter]
2016
Springer Tracts in Advanced Robotics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We further construct and optimize a predictive model of users' trust responses to discrete events, which provides both insights on this fundamental aspect of real-time human-machine interaction, and also ...
Our analyses quantify key correlations between real-time human-robot trust assessments and diverse factors, including properties of failure events reflecting causal trust attribution, as well as strong ...
We would also like to thank all of the participants who contributed to our user study. ...
doi:10.1007/978-3-319-28872-7_7
fatcat:5ul6z22xqvhpteimqwpkm2g6nq
How do people incorporate advice from artificial agents when making physical judgments?
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Prior work has largely focused on appraisal of simple, static skills; in contrast, we probe competence evaluations in a rich setting with agents that learn over time. ...
Results provide a quantitative measure of how people integrate a partner's competence into their own decisions and may help facilitate better coordination between humans and artificial agents. ...
Acknowledgments EB 1 , JEF, and DS are supported by an ONR Science of Autonomy award. JEF is additionally supported by NSF CA-REER #2047191 and a Stanford Hoffman-Yee grant. ...
arXiv:2205.11613v1
fatcat:jawgkjy4dvfixc6xcodygnkt2e
Neural Correlates of Trust in Automation: Considerations and Generalizability Between Technology Domains
2021
Frontiers in Neuroergonomics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
of trustworthiness or pain points of technology, or for human-in-the-loop cyber intrusion detection. ...
As such, this manuscript discusses the current-state-of-knowledge in trust perceptions, factors that influence trust, and corresponding neural correlates of trust as generalizable between domains. ...
In collaborative human-automation teaming, the operators can choose when and how to rely on or utilize automation features, highly dependent on how well calibrated their trust is. ...
doi:10.3389/fnrgo.2021.731327
fatcat:kaz2vf6tjvbw7azxcivmdtoixe
Domain-Level Explainability – A Challenge for Creating Trust in Superhuman AI Strategies
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
and therefore requires trust in their transparency and reliability. ...
With superhuman strategies being non-intuitive and complex by definition and real-world scenarios prohibiting a reliable performance evaluation, the key components for trust in these systems are difficult ...
The main questions and drivers for scenarios are predictions of the future (E1) and the impact of changes in hypothetical scenarios (E2). ...
arXiv:2011.06665v1
fatcat:qwqpfzjz7nhmjg2ngx2bkip57i
Engineering Human–Machine Teams for Trusted Collaboration
2020
Big Data and Cognitive Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Based on our analysis, we propose and outline three important areas of future research on engineering and operating human–machine teams for trusted collaboration. ...
In terms of methods, we focus on how reciprocal trust between humans and intelligent machines is defined, built, measured, and maintained from a systems engineering and planning perspective in literature ...
Acknowledgments: We gratefully acknowledge Alexander Herzog, Carsten Hesselmann and Marc Schlegel for providing administrative support of the HERMES project. ...
doi:10.3390/bdcc4040035
fatcat:uoanpxph5fbglo7sl3pytbkykm
Investigating Adjustable Social Autonomy in Human Robot Interaction
2021
Workshop From Objects to Agents
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The experiment has been designed in order to demonstrate how the robot's capability to learn its own level of self-trust on its predictive abilities in perceiving the user and building a model of her/him ...
the mental states and the features of its human interlocutor, in order to adapt their social autonomy every time humans require the robot's help. ...
We call these collaborative conflicts, as they are based on the desire to collaborate beyond what is required but in doing this errors and discrepancies occur. ...
dblp:conf/woa/CantucciFC21
fatcat:hcmlbt7aubd4noyuzkjsqotiem
Would a robot trust you? Developmental robotics model of trust and theory of mind
2019
Philosophical Transactions of the Royal Society of London. Biological Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The ability for an agent to evaluate the trustworthiness of its sources of information is particularly useful in joint task situations where people and robots must collaborate to reach shared goals. ...
Trust is a critical issue in human-robot interactions: as robotic systems gain complexity, it becomes crucial for them to be able to blend into our society by maximizing their acceptability and reliability ...
This means that collaborative scenarios between humans and robots will become more frequent and will have a deeper impact on everyday life. ...
doi:10.1098/rstb.2018.0032
pmid:30852993
pmcid:PMC6452250
fatcat:6mzca62qzzf65bpwv3uwyk56ke
The influence of agent reliability on trust in human-agent collaboration
2008
Proceedings of the 15th European conference on Cognitive ergonomics the ergonomics of cool interaction - ECCE '08
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2009; you can also visit the original URL.
The file type is application/pdf.
More importantly, the knowledge of agent's reliability and the ratio of unreliable tasks have significant effects on human's trust, as manifested in both team performance and human operators' rectification ...
Originality/Value -It represents an important step toward uncovering the nature of human trust in humanagent collaboration. ...
of human-agent trust: What factors might have impacts on a human's trust (and use) of his/her decision aids? ...
doi:10.1145/1473018.1473028
dblp:conf/ecce/FanOMYCSE08
fatcat:b6x25j5drfcjlpav5igue3ao3a
Adaptive trust calibration for human-AI collaboration
2020
PLoS ONE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Safety and efficiency of human-AI collaboration often depend on how humans could appropriately calibrate their trust towards the AI agents. ...
Although many studies focused on the importance of system transparency in keeping proper trust calibration, the research in detecting and mitigating improper trust calibration remains very limited. ...
Collaboration between human users and autonomous AI agents is always essential as such technologies are never perfect. One key aspect of such collaborations is that users trust the agents. ...
doi:10.1371/journal.pone.0229132
pmid:32084201
fatcat:yvtrg653cfatfalt6e7uflpr5i
Robot's self-trust as precondition for being a good collaborator
2021
International Joint Conference on Autonomous Agents & Multiagent Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The experiment has been designed in order to demonstrate how the robot's capability to learn its own level of self-trust on its predictive abilities in perceiving the user and building a model of her/him ...
states and the features of its human interlocutor, in order to adapt its behavior every time she/he requires the robot's help. ...
Figure 1c shows a statistical description of the impact of the self-trust building process in the level of user's satisfaction on the robot's smart collaboration. ...
dblp:conf/atal/CantucciFC21
fatcat:df6r27sxkzbfpfx25i7nxwgsdq
« Previous
Showing results 1 — 15 out of 40,898 results