Computational Trust in Robotics: Preliminary Investigations and Evidence

Francesco Semeraro; Marta Romeo; Angelo Cangelosi; Samuele Vinanzi

Computational Trust in Robotics: Preliminary Investigations and Evidence

Francesco Semeraro^*, Marta Romeo, Angelo Cangelosi, Samuele Vinanzi

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

28 Downloads (Pure)

Abstract

Trust plays a crucial role in the design of human-robot interaction. Most of the current research focuses on the human factors that affect trust towards the robot, while only few works mathematically model the trust a robot can have towards the user and viceversa. In this work, we term this line of research as “Computational Trust” and provide empirical evidence of this trend through preliminary results from an ongoing systematic review.

Original language	English
Pages (from-to)	176-179
Number of pages	4
Journal	CEUR Workshop Proceedings
Volume	3825
Publication status	Published - 9 Nov 2024
Event	3rd International Conference on Hybrid Human-Artificial Intelligence 2024 - Malmo, Sweden Duration: 10 Jun 2024 → 11 Jun 2024

Keywords

Artificial Intelligence
Artificial Trust
Computational Trust
Human-Robot Collaboration
Human-Robot Interaction
Natural Trust
Social Robotics

ASJC Scopus subject areas

General Computer Science

Access to Document

Download pdf
© 2024 Copyright for this paper by its authors.
Final published version, 485 KBLicence: CC BY

Cite this

@article{2445677d1c494e94b216e733deec715f,

title = "Computational Trust in Robotics: Preliminary Investigations and Evidence",

abstract = "Trust plays a crucial role in the design of human-robot interaction. Most of the current research focuses on the human factors that affect trust towards the robot, while only few works mathematically model the trust a robot can have towards the user and viceversa. In this work, we term this line of research as “Computational Trust” and provide empirical evidence of this trend through preliminary results from an ongoing systematic review.",

keywords = "Artificial Intelligence, Artificial Trust, Computational Trust, Human-Robot Collaboration, Human-Robot Interaction, Natural Trust, Social Robotics",

author = "Francesco Semeraro and Marta Romeo and Angelo Cangelosi and Samuele Vinanzi",

note = "Publisher Copyright: {\textcopyright} 2024 Copyright for this paper by its authors.; 3rd International Conference on Hybrid Human-Artificial Intelligence 2024, HHAI-WS 2024 ; Conference date: 10-06-2024 Through 11-06-2024",

year = "2024",

month = nov,

day = "9",

language = "English",

volume = "3825",

pages = "176--179",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

}

TY - JOUR

T1 - Computational Trust in Robotics

T2 - 3rd International Conference on Hybrid Human-Artificial Intelligence 2024

AU - Semeraro, Francesco

AU - Romeo, Marta

AU - Cangelosi, Angelo

AU - Vinanzi, Samuele

PY - 2024/11/9

Y1 - 2024/11/9

N2 - Trust plays a crucial role in the design of human-robot interaction. Most of the current research focuses on the human factors that affect trust towards the robot, while only few works mathematically model the trust a robot can have towards the user and viceversa. In this work, we term this line of research as “Computational Trust” and provide empirical evidence of this trend through preliminary results from an ongoing systematic review.

AB - Trust plays a crucial role in the design of human-robot interaction. Most of the current research focuses on the human factors that affect trust towards the robot, while only few works mathematically model the trust a robot can have towards the user and viceversa. In this work, we term this line of research as “Computational Trust” and provide empirical evidence of this trend through preliminary results from an ongoing systematic review.

KW - Artificial Intelligence

KW - Artificial Trust

KW - Computational Trust

KW - Human-Robot Collaboration

KW - Human-Robot Interaction

KW - Natural Trust

KW - Social Robotics

UR - http://www.scopus.com/inward/record.url?scp=85210322343&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85210322343

SN - 1613-0073

VL - 3825

SP - 176

EP - 179

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 10 June 2024 through 11 June 2024

ER -

Computational Trust in Robotics: Preliminary Investigations and Evidence

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this