This questionnaire was used during an experiment in co-learning between humans and AI-systems. In the experiment, a human participant collaborated with a robot in a simulated urban-search-and-rescue task. We designed sequences of interactions intended to facilitate co-learning between the two team members. We call these Learning Design Patterns (LDPs). Half of the participant-group (control) performed two runs of the task without intervention of LDPs, while the experimental group performed two LDPs successively after the first task run. The goal of the experiment was to empirically investigate the effects of the LDPs on learning task-critical knowledge, team situational awareness, and on team performance. The questionnaire consists of three...
Technological progress increasingly envisions the use of robots interacting with people in everyday ...
Thesis (Master's)--University of Washington, 2020Human-robot interaction has been an active research...
This paper presents a pilot study in which we examine the interactions between human-robot teammate ...
The rapid advancement of technology empowered by artificial intelligence is believed to intensify th...
This data was gathered in an experiment with the aim of studying mutual adaptations in a human-robot...
Becoming a well-functioning team requires continuous collaborative learning by all team members. Thi...
This paper addresses the research question: “How can a human-robot team achieve co-learning, and int...
As robots become more ubiquitous, they will increasingly need to behave as our team partners and smo...
This thesis is focused on designing mechanisms for programming robots and train-ing people to perfor...
In recent years, there has been a growing attention towards the development of artificial agents tha...
Robots are increasingly introduced to work in concert with people in high-intensity domains, such as...
While we would like agents that can coordinate with humans, current algorithms such as self-play and...
We study how humans make decisions when they collaborate with an artificial intelligence (AI) in a s...
Abstract—This paper presents a collaborative reinforcement learning algorithm,)(λCQ, designed to acc...
Human environments are challenging for robots, which need to be trainable by lay people and learn ne...
Technological progress increasingly envisions the use of robots interacting with people in everyday ...
Thesis (Master's)--University of Washington, 2020Human-robot interaction has been an active research...
This paper presents a pilot study in which we examine the interactions between human-robot teammate ...
The rapid advancement of technology empowered by artificial intelligence is believed to intensify th...
This data was gathered in an experiment with the aim of studying mutual adaptations in a human-robot...
Becoming a well-functioning team requires continuous collaborative learning by all team members. Thi...
This paper addresses the research question: “How can a human-robot team achieve co-learning, and int...
As robots become more ubiquitous, they will increasingly need to behave as our team partners and smo...
This thesis is focused on designing mechanisms for programming robots and train-ing people to perfor...
In recent years, there has been a growing attention towards the development of artificial agents tha...
Robots are increasingly introduced to work in concert with people in high-intensity domains, such as...
While we would like agents that can coordinate with humans, current algorithms such as self-play and...
We study how humans make decisions when they collaborate with an artificial intelligence (AI) in a s...
Abstract—This paper presents a collaborative reinforcement learning algorithm,)(λCQ, designed to acc...
Human environments are challenging for robots, which need to be trainable by lay people and learn ne...
Technological progress increasingly envisions the use of robots interacting with people in everyday ...
Thesis (Master's)--University of Washington, 2020Human-robot interaction has been an active research...
This paper presents a pilot study in which we examine the interactions between human-robot teammate ...