Publications
Publications
Publications
Publication date:
2024
Type:
Conference paper ERF 2024
Robots and Social Sustainability
Bipin Indurkhya
Barbara Sienkiewicz
Abstract
Sustainability is no longer a matter of choice but is invariably linked to the survival of the entire ecosystem of our planet Earth. As robotics technology is growing at an exponential rate, it is crucial to examine its implications for sustainability. Our focus is on social sustainability, specifically analyzing the role of robotics technology in this domain by identifying six distinct ways robots influence social sustainability.
Publication date:
2023
Type:
Conference paper
ICSR 2023
A field study on Polish customers’ attitude towards a service robot in a cafe
Maria Kiraga
Zofia Samsel
Bipin Indurkhya
Abstract
More and more stores in Poland are adopting robots as customer as- sistants or promotional tools. However, customer attitudes to such novelty re- main unexplored. This study focused on the role of social robots in self-service cafes. This domain has not been explored in Poland before, and there is not much research in other countries as well. We conducted a field study in two cafes with a teleoperated robot Nao, which sat next to the counter serving as an assistant to a human barista. We observed customer behavior, conducted semi- structured interviews and questionnaires with the customers. The results show that Polish customers are neutral and insecure about robots. However, they do not exhibit a total dislike of these technologies. We considered three stages of the interaction and identified features of each stage that need to be designed carefully to yield user satisfaction.
Publication date:
2023
Type:
Conference paper
ICSR 2023
Is a humorous robot more trustworthy?
Barbara Sienkiewicz
Bipin Indurkhya
Abstract
As more and more social robots are being used for collabo- rative activities with humans, it is crucial to investigate mechanisms to facilitate trust in the human-robot interaction. One such possible mech- anism is humour, which has been shown to increase creativity and pro- ductivity in human-human interaction. In this study, we investigate if humour can increase trust in human-robot interaction. We conducted a between-subjects experiment with 40 participants, with humour and no-humour conditions to see if the participants are more likely to accept the robot’s suggestion in the Three-card Monte game. Though we were unable to find a significant effect of humour, we discuss the effect of pos- sible confounding variables, and also report some interesting qualitative observations from our study: for instance, the participants interacted ef- fectively with the robot as a team member, regardless of the humour or no-humour condition.
Publication date:
2023
Type:
Conference paper
ICSR 2023
How language of interaction affects the user perception of a robot
Barbara Sienkiewicz
Gabriela Sejnova
Paweł Gajewski
Michal Vavrecka
Bipin Indurkhya
Abstract
Spoken language is the most natural way for a human to communicate with a robot. It may seem intuitive that a robot should communicate with users in their native language. However,it is not clear if a user’s perception of a robot is affected by the language of interaction. In this research, we investigate this question. We conducted a study with twenty-three native Czech participants who were also fluent in English. The participants were tasked with instructing the Pepper robot on object placement on a shelf. The robot was con- trolled remotely using the Wizard-of-Oz technique. We collected data through questionnaires, video recordings, and a post-experiment feed- back session. The results of our experiment show that people perceive an English- speaking robot as more intelligent than a Czech-speaking robot (z = 18.00, p-value = 0.02). This finding highlights the influence of language on human-robot interaction. Furthermore, we discuss the feedback ob- tained from the participants via the post-experiment sessions and its implications for HRI design.
Publication date:
2023
Type:
Conference paper
HAI 2023
Lessons Learned from in the Wild Child-Robot Interaction in Multiple Ecosystems of Care and Education
Arzu Guneysu
Elmira Yadollahi
Bipin Indurkhya
Abstract
We present here some lessons learned from observations and appli- cations of child-robot interaction research in diverse ecosystems such as schools, therapy centers, and hospitals, where the interac- tion was facilitated in real-world circumstances rather than lab set- tings. Specifically, we use observational results from our reflections on multiple child-robot interaction practices in the wild conducted over a 9-year research period. Using these exploratory as well as controlled studies, we outline some general design considerations and adaptation guidelines for improving the design and implemen- tation of robotic systems in healthcare and education leading to more practical, feasible, and ethically sustainable results.
Citation
To appear in Proceedings of The HAI 2023, Dec. 4-7, Gothenburg, Sweden.
Publication date:
2023
Type:
Conference paper
HAI 2023
Native Czech speakers consider English-speaking robots more intelligent
Barbara Sienkiewicz
Gabriela Sejnova
Paweł Gajewski
Michal Vavrecka
Bipin Indurkhya
Abstract
It seems intuitive that a social robot should communicate in the native language of the user. On the other hand, English has become lingua franca among scientific research groups. We conducted a study to see whether native Czech speakers (fluent in English) prefer to interact with a robot in English or in Czech. We found that our participants perceived an English-speaking robot as more intelligent than a Czech-speaking robot. However, those who had previous experience with robots perceived a Czech-speaking robot to be safer.
Citation
To appear in Proceedings of The HAI 2023, Dec. 4-7, Gothenburg, Sweden.
Publication date:
2024
Type:
Conference paper ERF 2024
Robots and Social Sustainability
Bipin Indurkhya
Barbara Sienkiewicz
Abstract
Sustainability is no longer a matter of choice but is invariably linked to the survival of the entire ecosystem of our planet Earth. As robotics technology is growing at an exponential rate, it is crucial to examine its implications for sustainability. Our focus is on social sustainability, specifically analyzing the role of robotics technology in this domain by identifying six distinct ways robots influence social sustainability.
To appear in Proceedings of the ERF 2024, March 13-15, Rimini, Italy.
A field study on Polish customers’ attitude towards a service robot in a cafe
Maria Kiraga
Zofia Samsel
Bipin Indurkhya
Abstract
More and more stores in Poland are adopting robots as customer as- sistants or promotional tools. However, customer attitudes to such novelty re- main unexplored. This study focused on the role of social robots in self-service cafes. This domain has not been explored in Poland before, and there is not much research in other countries as well. We conducted a field study in two cafes with a teleoperated robot Nao, which sat next to the counter serving as an assistant to a human barista. We observed customer behavior, conducted semi- structured interviews and questionnaires with the customers. The results show that Polish customers are neutral and insecure about robots. However, they do not exhibit a total dislike of these technologies. We considered three stages of the interaction and identified features of each stage that need to be designed carefully to yield user satisfaction.
To appear in Proceedings of The ICSR 2023, Dec. 3-7, Doha, Qatar.
Publication date:
2023
Type:
Conference paper
ICSR 2023
Publication date:
2023
Type:
Conference paper
ICSR 2023
Is a humorous robot more trustworthy?
Barbara Sienkiewicz
Bipin Indurkhya
Abstract
As more and more social robots are being used for collabo- rative activities with humans, it is crucial to investigate mechanisms to facilitate trust in the human-robot interaction. One such possible mech- anism is humour, which has been shown to increase creativity and pro- ductivity in human-human interaction. In this study, we investigate if humour can increase trust in human-robot interaction. We conducted a between-subjects experiment with 40 participants, with humour and no-humour conditions to see if the participants are more likely to accept the robot’s suggestion in the Three-card Monte game. Though we were unable to find a significant effect of humour, we discuss the effect of pos- sible confounding variables, and also report some interesting qualitative observations from our study: for instance, the participants interacted ef- fectively with the robot as a team member, regardless of the humour or no-humour condition.
To appear in Proceedings of The ICSR 2023, Dec. 3-7, Doha, Qatar.
Publication date:
2023
Type:
Conference paper
ICSR 2023
How language of interaction affects the user perception of a robot
Barbara Sienkiewicz
Gabriela Sejnova
Paweł Gajewski
Michal Vavrecka
Bipin Indurkhya
Abstract
Spoken language is the most natural way for a human to communicate with a robot. It may seem intuitive that a robot should communicate with users in their native language. However,it is not clear if a user’s perception of a robot is affected by the language of interaction. In this research, we investigate this question. We conducted a study with twenty-three native Czech participants who were also fluent in English. The participants were tasked with instructing the Pepper robot on object placement on a shelf. The robot was con- trolled remotely using the Wizard-of-Oz technique. We collected data through questionnaires, video recordings, and a post-experiment feed- back session. The results of our experiment show that people perceive an English- speaking robot as more intelligent than a Czech-speaking robot (z = 18.00, p-value = 0.02). This finding highlights the influence of language on human-robot interaction. Furthermore, we discuss the feedback ob- tained from the participants via the post-experiment sessions and its implications for HRI design.
To appear in Proceedings of The ICSR 2023, Dec. 3-7, Doha, Qatar.
Publication date:
2023
Type:
Conference paper
HAI 2023
Lessons Learned from in the Wild Child-Robot Interaction in Multiple Ecosystems of Care and Education
Arzu Guneysu
Elmira Yadollahi
Bipin Indurkhya
Abstract
We present here some lessons learned from observations and appli- cations of child-robot interaction research in diverse ecosystems such as schools, therapy centers, and hospitals, where the interac- tion was facilitated in real-world circumstances rather than lab set- tings. Specifically, we use observational results from our reflections on multiple child-robot interaction practices in the wild conducted over a 9-year research period. Using these exploratory as well as controlled studies, we outline some general design considerations and adaptation guidelines for improving the design and implemen- tation of robotic systems in healthcare and education leading to more practical, feasible, and ethically sustainable results.
To appear in Proceedings of The HAI 2023, Dec. 4-7, Gothenburg, Sweden.
Publication date:
2023
Type:
Conference paper
HAI 2023
Czechs consider English-speaking robots more intelligent
Barbara Sienkiewicz
Gabriela Sejnova
Paweł Gajewski
Michal Vavrecka
Bipin Indurkhya
Abstract
It seems intuitive that a social robot should communicate in the native language of the user. On the other hand, English has become lingua franca among scientific research groups. We conducted a study to see whether native Czech speakers (fluent in English) prefer to interact with a robot in English or in Czech. We found that our participants perceived an English-speaking robot as more intelligent than a Czech-speaking robot. However, those who had previous experience with robots perceived a Czech-speaking robot to be safer.
To appear in Proceedings of The HAI 2023, Dec. 4-7, Gothenburg, Sweden.
Publication date:
2024
Type:
Conference paper ERF 2024
Robots and Social Sustainability
Bipin Indurkhya
Barbara Sienkiewicz
Abstract
Sustainability is no longer a matter of choice but is invariably linked to the survival of the entire ecosystem of our planet Earth. As robotics technology is growing at an exponential rate, it is crucial to examine its implications for sustainability. Our focus is on social sustainability, specifically analyzing the role of robotics technology in this domain by identifying six distinct ways robots influence social sustainability.
To appear in Proceedings of the ERF 2024, March 13-15, Rimini, Italy.
Publication date:
2023
Type:
Conference paper
ICSR 2023
A field study on Polish customers’ attitude towards a service robot in a cafe
Maria Kiraga
Zofia Samsel
Bipin Indurkhya
Abstract
More and more stores in Poland are adopting robots as customer as- sistants or promotional tools. However, customer attitudes to such novelty re- main unexplored. This study focused on the role of social robots in self-service cafes. This domain has not been explored in Poland before, and there is not much research in other countries as well. We conducted a field study in two cafes with a teleoperated robot Nao, which sat next to the counter serving as an assistant to a human barista. We observed customer behavior, conducted semi- structured interviews and questionnaires with the customers. The results show that Polish customers are neutral and insecure about robots. However, they do not exhibit a total dislike of these technologies. We considered three stages of the interaction and identified features of each stage that need to be designed carefully to yield user satisfaction.
To appear in Proceedings of The ICSR 2023, Dec. 3-7, Doha, Qatar.
Publication date:
2023
Type:
Conference paper
ICSR 2023
Is a humorous robot more trustworthy?
Barbara Sienkiewicz
Bipin Indurkhya
Abstract
As more and more social robots are being used for collabo- rative activities with humans, it is crucial to investigate mechanisms to facilitate trust in the human-robot interaction. One such possible mech- anism is humour, which has been shown to increase creativity and pro- ductivity in human-human interaction. In this study, we investigate if humour can increase trust in human-robot interaction. We conducted a between-subjects experiment with 40 participants, with humour and no-humour conditions to see if the participants are more likely to accept the robot’s suggestion in the Three-card Monte game. Though we were unable to find a significant effect of humour, we discuss the effect of pos- sible confounding variables, and also report some interesting qualitative observations from our study: for instance, the participants interacted ef- fectively with the robot as a team member, regardless of the humour or no-humour condition.
To appear in Proceedings of The ICSR 2023, Dec. 3-7, Doha, Qatar.
Publication date:
2023
Type:
Conference paper
ICSR 2023
How language of interaction affects the user perception of a robot
Barbara Sienkiewicz
Gabriela Sejnova
Paweł Gajewski
Michal Vavrecka
Bipin Indurkhya
Abstract
Spoken language is the most natural way for a human to communicate with a robot. It may seem intuitive that a robot should communicate with users in their native language. However,it is not clear if a user’s perception of a robot is affected by the language of interaction. In this research, we investigate this question. We conducted a study with twenty-three native Czech participants who were also fluent in English. The participants were tasked with instructing the Pepper robot on object placement on a shelf. The robot was con- trolled remotely using the Wizard-of-Oz technique. We collected data through questionnaires, video recordings, and a post-experiment feed- back session. The results of our experiment show that people perceive an English- speaking robot as more intelligent than a Czech-speaking robot (z = 18.00, p-value = 0.02). This finding highlights the influence of language on human-robot interaction. Furthermore, we discuss the feedback ob- tained from the participants via the post-experiment sessions and its implications for HRI design.
To appear in Proceedings of The ICSR 2023, Dec. 3-7, Doha, Qatar.
Publication date:
2023
Type:
Conference paper
HAI 2023
Lessons Learned from in the Wild Child-Robot Interaction in Multiple Ecosystems of Care and Education
Arzu Guneysu
Elmira Yadollahi
Bipin Indurkhya
Abstract
We present here some lessons learned from observations and appli- cations of child-robot interaction research in diverse ecosystems such as schools, therapy centers, and hospitals, where the interac- tion was facilitated in real-world circumstances rather than lab set- tings. Specifically, we use observational results from our reflections on multiple child-robot interaction practices in the wild conducted over a 9-year research period. Using these exploratory as well as controlled studies, we outline some general design considerations and adaptation guidelines for improving the design and implemen- tation of robotic systems in healthcare and education leading to more practical, feasible, and ethically sustainable results.
To appear in Proceedings of The ICSR 2023, Dec. 3-7, Doha, Qatar.
Publication date:
2023
Type:
Conference paper
HAI 2023
Czechs consider English-speaking robots more intelligent
Barbara Sienkiewicz
Gabriela Sejnova
Paweł Gajewski
Michal Vavrecka
Bipin Indurkhya
Abstract
It seems intuitive that a social robot should communicate in the native language of the user. On the other hand, English has become lingua franca among scientific research groups. We conducted a study to see whether native Czech speakers (fluent in English) prefer to interact with a robot in English or in Czech. We found that our participants perceived an English-speaking robot as more intelligent than a Czech-speaking robot. However, those who had previous experience with robots perceived a Czech-speaking robot to be safer.
To appear in Proceedings of The HAI 2023, Dec. 4-7, Gothenburg, Sweden.
Social Robotics Lab
We explore Human-Robot Interaction in natural social settings.
Jagiellonian University
ul. Ingardena 3, room 304B
30-060 Kraków
Poland
© 2023, Social Robotics Laboratory