A survey of mental modeling techniques in human–robot teaming
Abstract Purpose of Review As robots become increasingly prevalent and capable, the
complexity of roles and responsibilities assigned to them as well as our expectations for …
complexity of roles and responsibilities assigned to them as well as our expectations for …
The promise and peril of interactive embodied agents for studying non-verbal communication: a machine learning perspective
J Gratch - … Transactions of the Royal Society B, 2023 - royalsocietypublishing.org
In face-to-face interactions, parties rapidly react and adapt to each other's words,
movements and expressions. Any science of face-to-face interaction must develop …
movements and expressions. Any science of face-to-face interaction must develop …
Large language models as zero-shot human models for human-robot interaction
Human models play a crucial role in human-robot interaction (HRI), enabling robots to
consider the impact of their actions on people and plan their behavior accordingly. However …
consider the impact of their actions on people and plan their behavior accordingly. However …
Theory of Mind abilities of Large Language Models in Human-Robot Interaction: An Illusion?
Large Language Models (LLMs) have shown exceptional generative abilities in various
natural language and generation tasks. However, possible anthropomorphization and …
natural language and generation tasks. However, possible anthropomorphization and …
Strategies for the inclusion of human members within human-robot teams
Team member inclusion is vital in collaborative teams. In this work, we explore two
strategies to increase the inclusion of human team members in a human-robot team: 1) …
strategies to increase the inclusion of human team members in a human-robot team: 1) …
“I just shared your responses” extending communication privacy management theory to interactions with conversational agents
Conversational agents are increasingly becoming integrated into everyday technologies
and can collect large amounts of data about users. As these agents mimic interpersonal …
and can collect large amounts of data about users. As these agents mimic interpersonal …
Robots with theory of mind for humans: A survey
Theory of Mind (ToM) is a psychological construct that captures the ability to ascribe mental
states to others and then use those representations for explaining and predicting behavior …
states to others and then use those representations for explaining and predicting behavior …
Dyadic affect in parent-child multimodal interaction: Introducing the dami-p2c dataset and its preliminary analysis
High-quality parent-child conversational interactions are crucial for children's social,
emotional, and cognitive development. However, many children have limited exposure to …
emotional, and cognitive development. However, many children have limited exposure to …
Building second-order mental models for human-robot interaction
The mental models that humans form of other agents---encapsulating human beliefs about
agent goals, intentions, capabilities, and more---create an underlying basis for interaction …
agent goals, intentions, capabilities, and more---create an underlying basis for interaction …
Proxemic behavior in navigation tasks using reinforcement learning
Human interaction starts with a person approaching another one, respecting their personal
space to prevent uncomfortable feelings. Spatial behavior, called proxemics, allows defining …
space to prevent uncomfortable feelings. Spatial behavior, called proxemics, allows defining …