Human-robot teaming: grand challenges
Abstract Purpose of Review Current real-world interaction between humans and robots is
extremely limited. We present challenges that, if addressed, will enable humans and robots …
extremely limited. We present challenges that, if addressed, will enable humans and robots …
A review of driving style recognition methods from short-term and long-term perspectives
Driving style recognition provides an effective way to understand human driving behaviors
and thereby plays an important role in the automotive sector. However, most works fail to …
and thereby plays an important role in the automotive sector. However, most works fail to …
The role of personality factors and empathy in the acceptance and performance of a social robot for psychometric evaluations
Research and development in socially assistive robotics have produced several novel
applications in the care of senior people. However, some are still unexplored such as their …
applications in the care of senior people. However, some are still unexplored such as their …
Socially assistive robot for providing recommendations: Comparing a humanoid robot with a mobile application
Socially assistive robotics has gained a valuable role in assisting, influencing and motivating
the human behavior in many Human–Machine Interaction contexts. This finding suggested …
the human behavior in many Human–Machine Interaction contexts. This finding suggested …
Classifying human emotions in HRI: applying global optimization model to EEG brain signals
M Staffa, L D'Errico, S Sansalone… - Frontiers in …, 2023 - frontiersin.org
Significant efforts have been made in the past decade to humanize both the form and
function of social robots to increase their acceptance among humans. To this end, social …
function of social robots to increase their acceptance among humans. To this end, social …
Do you trust me, blindly? Factors influencing trust towards a robot recommender system
When robots and human users collaborate, trust is essential for user acceptance and
engagement. In this paper, we investigated two factors thought to influence user trust …
engagement. In this paper, we investigated two factors thought to influence user trust …
Self-learning optimal cruise control based on individual car-following style
This study aims to develop an optimal cruise controller that can automatically adapt to
individual car-following style. First, the adaptive cruise control (ACC) problem is formulated …
individual car-following style. First, the adaptive cruise control (ACC) problem is formulated …
A study on social exclusion in human-robot interaction
SE Spisak, B Indurkhya - Electronics, 2023 - mdpi.com
Recent research in human-robot interaction (HRI) points to possible unfair outcomes caused
by artificial systems based on machine learning. The aim of this study was to investigate if …
by artificial systems based on machine learning. The aim of this study was to investigate if …
Using trust to determine user decision making & task outcome during a human-agent collaborative task
Optimal performance of collaborative tasks requires consideration of the interactions
between socially intelligent agents, such as social robots, and their human counterparts. The …
between socially intelligent agents, such as social robots, and their human counterparts. The …
Enhancing affective robotics via human internal state monitoring
During the last years, many solutions have been proposed to achieve a natural Human-
Robot Interaction (HRI) and Communication paving the way to new paradigms of under …
Robot Interaction (HRI) and Communication paving the way to new paradigms of under …