A review of personality in human–robot interactions
Personality has been identified as a vital factor in understanding the quality of human–robot
interactions. Despite this the research in this area remains fragmented and lacks a coherent …
interactions. Despite this the research in this area remains fragmented and lacks a coherent …
Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects
Crowd behaviour analysis is an emerging research area. Due to its novelty, a proper
taxonomy to organise its different sub-tasks is still missing. This paper proposes a taxonomic …
taxonomy to organise its different sub-tasks is still missing. This paper proposes a taxonomic …
A survey of multi-agent Human–Robot Interaction systems
This article presents a survey of literature in the area of Human–Robot Interaction (HRI),
specifically on systems containing more than two agents (ie, having multiple humans and/or …
specifically on systems containing more than two agents (ie, having multiple humans and/or …
Engagement in human-agent interaction: An overview
Engagement is a concept of the utmost importance in human-computer interaction, not only
for informing the design and implementation of interfaces, but also for enabling more …
for informing the design and implementation of interfaces, but also for enabling more …
Three-dimensional reconstruction of human interactions
Understanding 3d human interactions is fundamental for fine grained scene analysis and
behavioural modeling. However, most of the existing models focus on analyzing a single …
behavioural modeling. However, most of the existing models focus on analyzing a single …
Learning person-specific cognition from facial reactions for automatic personality recognition
This article proposes to recognise the true (self-reported) personality traits from the target
subject's cognition simulated from facial reactions. This approach builds on the following two …
subject's cognition simulated from facial reactions. This approach builds on the following two …
A meta-analysis of human personality and robot acceptance in human-robot interaction
Human personality has been identified as a predictor of robot acceptance in the human–
robot interaction (HRI) literature. Despite this, the HRI literature has provided mixed support …
robot interaction (HRI) literature. Despite this, the HRI literature has provided mixed support …
Measuring engagement in robot-assisted autism therapy: A cross-cultural study
During occupational therapy for children with autism, it is often necessary to elicit and
maintain engagement for the children to benefit from the session. Recently, social robots …
maintain engagement for the children to benefit from the session. Recently, social robots …
Multimodal human-human-robot interactions (mhhri) dataset for studying personality and engagement
O Celiktutan, E Skordos… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper we introduce a novel dataset, the Multimodal Human-Human-Robot-
Interactions (MHHRI) dataset, with the aim of studying personality simultaneously in human …
Interactions (MHHRI) dataset, with the aim of studying personality simultaneously in human …
A long-term engagement with a social robot for autism therapy
N Rakhymbayeva, A Amirova… - Frontiers in Robotics and …, 2021 - frontiersin.org
Social robots are increasingly being used as a mediator between a therapist and a child in
autism therapy studies. In this context, most behavioural interventions are typically short …
autism therapy studies. In this context, most behavioural interventions are typically short …