iChores: Intuitive interfaces
for human-robot collaboration
iChores
Intuitive interfaces for
human-robot collaboration
iChores: Intuitive interfaces
for human-robot collaboration
iChores
Intuitive interfaces for
human-robot collaboration
iChores: Intuitive interfaces
for human-robot collaboration
The focus of this research is on designing and developing interfaces for human-robot interaction through which non-expert users can specify a task to a robot.
The focus of this research is on designing and developing interfaces for human-robot interaction through which non-expert users can specify a task to a robot.
The focus of this research is on designing and developing interfaces for human-robot interaction through which non-expert users can specify a task to a robot.
The focus of this research is on designing and developing interfaces for human-robot interaction through which non-expert users can specify a task to a robot.
Unveiling the Future of Intuitive Interaction in Domestic Service Robotics
Unveiling the Future of Intuitive Interaction in Domestic Service Robotics
Unveiling the Future of Intuitive Interaction in Domestic Service Robotics
Unveiling the Future of Intuitive Interaction in Domestic Service Robotics
Specifically, we are studying methods to better understand human-robot interaction through a collaborative robotic interface for humanoid domestic service robots, where the user can interact with the robot intuitively using multimodal cues of language, gestures and gaze. We are applying a user-centric approach by conducting user studies to model how a human uses speech, gestures, and gaze naturally to collaborate with a robot, and then using these models to design intuitive human-robot interaction interfaces.
This research is being funded by the Opus-LAP program of NCN, and we have collaborating partners at the Technical University, Vienna (TUW), and Czech Technical University, Prague (CTU).
Specifically, we are studying methods to better understand human-robot interaction through a collaborative robotic interface for humanoid domestic service robots, where the user can interact with the robot intuitively using multimodal cues of language, gestures and gaze. We are applying a user-centric approach by conducting user studies to model how a human uses speech, gestures, and gaze naturally to collaborate with a robot, and then using these models to design intuitive human-robot interaction interfaces.
This research is being funded by the Opus-LAP program of NCN, and we have collaborating partners at the Technical University, Vienna (TUW), and Czech Technical University, Prague (CTU).
Specifically, we are studying methods to better understand human-robot interaction through a collaborative robotic interface for humanoid domestic service robots, where the user can interact with the robot intuitively using multimodal cues of language, gestures and gaze. We are applying a user-centric approach by conducting user studies to model how a human uses speech, gestures, and gaze naturally to collaborate with a robot, and then using these models to design intuitive human-robot interaction interfaces.
This research is being funded by the Opus-LAP program of NCN, and we have collaborating partners at the Technical University, Vienna (TUW), and Czech Technical University, Prague (CTU).
Specifically, we are studying methods to better understand human-robot interaction through a collaborative robotic interface for humanoid domestic service robots, where the user can interact with the robot intuitively using multimodal cues of language, gestures and gaze. We are applying a user-centric approach by conducting user studies to model how a human uses speech, gestures, and gaze naturally to collaborate with a robot, and then using these models to design intuitive human-robot interaction interfaces.
This research is being funded by the Opus-LAP program of NCN, and we have collaborating partners at the Technical University, Vienna (TUW), and Czech Technical University, Prague (CTU).
Current
Behavioral Data Collection
Behavioral Data Collection
Behavioral Data Collection
The communication between robots and humans in the context of this project should be performed as if the robot would be another human being. This way we can advance the level of robots' understanding of human speech, especially in the context of a household or workplace service robot scenario.
Imagine getting a new assistant robot. The first thing to do would be to tell it what it should do and perhaps how to do it, as well as share some additional details and nuances of its tasks.
In the data collection phase the role of the robot is fulfilled by a human assistant.
The communication between robots and humans in the context of this project should be performed as if the robot would be another human being. This way we can advance the level of robots' understanding of human speech, especially in the context of a household or workplace service robot scenario. Imagine getting a new assistant robot. The first thing to do would be to tell it what it should do and perhaps how to do it, as well as share some additional details and nuances of its tasks. In the data collection phase the role of the robot is fulfilled by a human assistant.
The communication between robots and humans in the context of this project should be performed as if the robot would be another human being. This way we can advance the level of robots' understanding of human speech, especially in the context of a household or workplace service robot scenario. Imagine getting a new assistant robot. The first thing to do would be to tell it what it should do and perhaps how to do it, as well as share some additional details and nuances of its tasks. In the data collection phase the role of the robot is fulfilled by a human assistant.
The communication between robots and humans in the context of this project should be performed as if the robot would be another human being. This way we can advance the level of robots' understanding of human speech, especially in the context of a household or workplace service robot scenario. Imagine getting a new assistant robot. The first thing to do would be to tell it what it should do and perhaps how to do it, as well as share some additional details and nuances of its tasks. In the data collection phase the role of the robot is fulfilled by a human assistant.
December 2022 - March 2023
A study on the influence of language on a user's perception of a robot
A study on the influence of language on a user's perception of a robot
A study on the influence of language on a user's perception of a robot
We conducted a study to see how the language of interaction influences a user's perception of a robot. The reason for conducting this study was to determine the most suitable language for the Human-Robot Interaction (HRI) research when the international team is involved.
We enlisted the participation of twenty-three individuals who were native Czech speakers and fluent in English.
The task was to teach the Pepper robot where to place objects on a shelf. The robot was controlled remotely using the Wizard-of-Oz technique. We collected both objective observations of the participants' behavior during the interactions and their own subjective opinions provided through questionnaires, including the popular Godspeed questionnaire.
Additionally, we incorporated a feedback session on participation in the experiment to follow the user-center design idea.
We conducted a study to see how the language of interaction influences a user's perception of a robot. The reason for conducting this study was to determine the most suitable language for the Human-Robot Interaction (HRI) research when the international team is involved. We enlisted the participation of twenty-three individuals who were native Czech speakers and fluent in English. The task was to teach the Pepper robot where to place objects on a shelf. The robot was controlled remotely using the Wizard-of-Oz technique. We collected both objective observations of the participants' behavior during the interactions and their own subjective opinions provided through questionnaires, including the popular Godspeed questionnaire. Additionally, we incorporated a feedback session on participation in the experiment to follow the user-center design idea.
We conducted a study to see how the language of interaction influences a user's perception of a robot. The reason for conducting this study was to determine the most suitable language for the Human-Robot Interaction (HRI) research when the international team is involved. We enlisted the participation of twenty-three individuals who were native Czech speakers and fluent in English. The task was to teach the Pepper robot where to place objects on a shelf. The robot was controlled remotely using the Wizard-of-Oz technique. We collected both objective observations of the participants' behavior during the interactions and their own subjective opinions provided through questionnaires, including the popular Godspeed questionnaire. Additionally, we incorporated a feedback session on participation in the experiment to follow the user-center design idea.
We conducted a study to see how the language of interaction influences a user's perception of a robot. The reason for conducting this study was to determine the most suitable language for the Human-Robot Interaction (HRI) research when the international team is involved. We enlisted the participation of twenty-three individuals who were native Czech speakers and fluent in English. The task was to teach the Pepper robot where to place objects on a shelf. The robot was controlled remotely using the Wizard-of-Oz technique. We collected both objective observations of the participants' behavior during the interactions and their own subjective opinions provided through questionnaires, including the popular Godspeed questionnaire. Additionally, we incorporated a feedback session on participation in the experiment to follow the user-center design idea.
Social Robotics Lab
We explore Human-Robot Interaction in natural social settings.
Jagiellonian University
ul. Ingardena 3, room 304B
30-060 Kraków
Poland
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