@inproceedings{9b8dcc1a88814155bd478f3658cb7ad2,
title = "Human Trust Between Real and Virtual Agents for a Real-World Assistive Task",
abstract = "The objective is investigating how humans perceive and compare their trust between similar real (physical) and virtual intelligent agents (a social robot and a virtual human) in real-world assistive collaborative tasks performed between humans and the agents. An intelligent anthropomorphic humanoid robot and a human-like intelligent virtual human were developed. Each agent was made capable of separately performing a specific real-world task such as finding an object (a small doll) in a home setting for an old or disabled human. An experiment was designed and conducted to investigate the factors that influenced human trust in the agents and compare human trust between the agents for the same real-world task. We learned from the results that the trust factors were almost the same for both social agents though humans trusted the robot more than the virtual human for the same real-world task. It was assumed that the difference in embodiment between the agents created the difference in human trust between them (the agents). We proposed to use the results obtained from the study for developing trustworthy collaborative intelligent social agents performing real-world complex tasks for humans.",
author = "Rahman, {S. M.Mizanoor}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; World Conference on Smart Trends in Systems, Security and Sustainability, WS4 2023 ; Conference date: 21-08-2023 Through 24-08-2023",
year = "2024",
doi = "10.1007/978-981-99-8031-4_43",
language = "English (US)",
isbn = "9789819980307",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "491--499",
editor = "Nagar, {Atulya K.} and Jat, {Dharm Singh} and Durgesh Mishra and Amit Joshi",
booktitle = "Intelligent Sustainable Systems - Selected Papers of WorldS4 2023",
address = "Germany",
}