Yiannis Demiris
Biographic Data
| ID | 5118313 |
|---|---|
| NAME | Yiannis Demiris |
| GIVEN NAMES | Yiannis |
| FAMILY NAME | Demiris |
| SIGNATURE | DEMIRIS Y |
| AFFILIATIONS | Imperial College London |
| ORCID | 0000-0003-4917-3343 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 13 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Continuous Real-time Adaptation Framework for Enhancing Trust and Technology Acceptance
Assistive feeding robots operate in close proximity to users often unfamiliar with robotic systems, making trust a crucial element of Human-Robot Interaction (HRI). While technical challenges in assistive feeding are actively researched, human factors such as trust remain underexplored. We propose the Continuous Real-time Adaptation Framework for Trust and Technology Acceptance (CRAFTT), which adapts the robot’s behaviour in real-time based on us…
An Integrated 3D Eye-Gaze Tracking Framework for Assessing Trust in Human–Robot Interaction
We introduce a comprehensive approach to examining the complexities of trust during Human–Robot Interactions (HRIs) through an innovative 3D eye-gaze tracking framework. Trust is a fundamental psychological factor in HRI studies, influencing how humans perceive and interact with robots. Although researchers have previously highlighted eye-tracking as a promising tool for capturing behavioural manifestations of trust continuously and non-intrusive…
Cognitive Modelling of Visual Attention Captures Trust Dynamics in Human–Robot Collaboration
Understanding how humans perceive and interact with robots is crucial for collaborative scenarios. Trust, a pivotal factor in such interactions, is inherently volatile and subjective, posing significant challenges for robots. However, trust has also been shown to influence specific human bio-signals and behaviours, suggesting that it could be inferred from those indicators. One such indicator is visual attention, the cognitive process of focusing…
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In order to assess trust within domains necessitating Human–Robot Interaction (HRI), such as social and assistive robotics, a multifaceted cognitive infrastructure is essential to facilitate shared knowledge among the participants. This knowledge encompasses information pertaining to the behaviour, beliefs, intentions, and situational awareness of the participants, including assessments of vulnerability, reliability, and risk. The developed knowl…
Multi-Dimensional Evaluation of an Augmented Reality Head-Mounted Display User Interface for Controlling Legged Manipulators
Controlling assistive robots can be challenging for some users, especially those lacking relevant experience. Augmented Reality (AR) User Interfaces (UIs) have the potential to facilitate this task. Although extensive research regarding legged manipulators exists, comparatively little is on their UIs. Most existing UIs leverage traditional control interfaces such as joysticks, Hand-Held (HH) controllers and 2D UIs. These interfaces not only risk …
A Cloud-based Robot System for Long-term Interaction
Making the transition to long-term interaction with social-robot systems has been identified as one of the main challenges in human-robot interaction. This article identifies four design principles to address this challenge and applies them in a real-world implementation: cloud-based robot control, a modular design, one common knowledge base for all applications, and hybrid artificial intelligence for decision making and reasoning. The control ar…
Assistive Robotic Technology to Combat Social Isolation in Acute Hospital Settings
A Motivational Approach to Support Healthy Habits in Long-term Child–Robot Interaction
A Motivational Approach to Support Healthy Habits in Long-term Child–Robot Interaction
Assistive Robotic Technology to Combat Social Isolation in Acute Hospital Settings
A Cloud-based Robot System for Long-term Interaction
Making the transition to long-term interaction with social-robot systems has been identified as one of the main challenges in human-robot interaction. This article identifies four design principles to address this challenge and applies them in a real-world implementation: cloud-based robot control, a modular design, one common knowledge base for all applications, and hybrid artificial intelligence for decision making and reasoning. The control ar…
Multi-Dimensional Evaluation of an Augmented Reality Head-Mounted Display User Interface for Controlling Legged Manipulators
Controlling assistive robots can be challenging for some users, especially those lacking relevant experience. Augmented Reality (AR) User Interfaces (UIs) have the potential to facilitate this task. Although extensive research regarding legged manipulators exists, comparatively little is on their UIs. Most existing UIs leverage traditional control interfaces such as joysticks, Hand-Held (HH) controllers and 2D UIs. These interfaces not only risk …
An Integrated 3D Eye-Gaze Tracking Framework for Assessing Trust in Human–Robot Interaction
We introduce a comprehensive approach to examining the complexities of trust during Human–Robot Interactions (HRIs) through an innovative 3D eye-gaze tracking framework. Trust is a fundamental psychological factor in HRI studies, influencing how humans perceive and interact with robots. Although researchers have previously highlighted eye-tracking as a promising tool for capturing behavioural manifestations of trust continuously and non-intrusive…
Cognitive Modelling of Visual Attention Captures Trust Dynamics in Human–Robot Collaboration
Understanding how humans perceive and interact with robots is crucial for collaborative scenarios. Trust, a pivotal factor in such interactions, is inherently volatile and subjective, posing significant challenges for robots. However, trust has also been shown to influence specific human bio-signals and behaviours, suggesting that it could be inferred from those indicators. One such indicator is visual attention, the cognitive process of focusing…
Tick
In order to assess trust within domains necessitating Human–Robot Interaction (HRI), such as social and assistive robotics, a multifaceted cognitive infrastructure is essential to facilitate shared knowledge among the participants. This knowledge encompasses information pertaining to the behaviour, beliefs, intentions, and situational awareness of the participants, including assessments of vulnerability, reliability, and risk. The developed knowl…
Continuous Real-time Adaptation Framework for Enhancing Trust and Technology Acceptance
Assistive feeding robots operate in close proximity to users often unfamiliar with robotic systems, making trust a crucial element of Human-Robot Interaction (HRI). While technical challenges in assistive feeding are actively researched, human factors such as trust remain underexplored. We propose the Continuous Real-time Adaptation Framework for Trust and Technology Acceptance (CRAFTT), which adapts the robot’s behaviour in real-time based on us…
Computer Science (8 works) · Human–computer interaction (8 works) · Artificial Intelligence (7 works) · Robot (7 works) · Human–robot interaction (6 works) · Psychology (6 works) · Human-Automation Interaction and Safety (4 works) · Social Robot Interaction and HRI (4 works) · AI in Service Interactions (3 works) · Cognition (3 works)