2017
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Mirnig, Nicole; Stollnberger, Gerald; Miksch, Markus; Stadler, Susanne; Giuliani, Manuel; Tscheligi, Manfred To Err Is Robot: How Humans Assess and Act toward an Erroneous Social Robot Journal Article Frontiers in Robotics and AI, 4 (21), pp. 1–15, 2017. Abstract | Links | BibTeX @article{Mirnig2017,
title = {To Err Is Robot: How Humans Assess and Act toward an Erroneous Social Robot},
author = {Nicole Mirnig and Gerald Stollnberger and Markus Miksch and Susanne Stadler and Manuel Giuliani and Manfred Tscheligi},
editor = {Ginevra Castellano},
doi = {10.3389/frobt.2017.00021},
year = {2017},
date = {2017-01-01},
journal = {Frontiers in Robotics and AI},
volume = {4},
number = {21},
pages = {1--15},
publisher = {Frontiers},
abstract = {We conducted a user study for which we purposefully programmed faulty behavior intoa robot's routine. It was our aim to explore if participants rate the faulty robot differentfrom an error-free robot and which reactions people show in interaction with a faultyrobot. The study was based on our previous research on robot errors where we detectedtypical error situations and the resulting social signals of our participants during socialhuman--robot interaction. In contrast to our previous work, where we studied videomaterial in which robot errors occurred unintentionally, in the herein reported user study,we purposefully elicited robot errors to further explore the human interaction partners'social signals following a robot error. Our participants interacted with a human-likeNAO, and the robot either performed faulty or free from error. First, the robot askedthe participants a set of predefined questions and then it asked them to complete acouple of LEGO building tasks. After the interaction, we asked the participants to ratethe robot's anthropomorphism, likability, and perceived intelligence. We also interviewedthe participants on their opinion about the interaction. Additionally, we video-coded thesocial signals the participants showed during their interaction with the robot as wellas the answers they provided the robot with. Our results show that participants likedthe faulty robot significantly better than the robot that interacted flawlessly. We did notfind significant differences in people's ratings of the robot's anthropomorphism and perceivedintelligence. The qualitative data confirmed the questionnaire results in showingthat although the participants recognized the robot's mistakes, they did not necessarilyreject the erroneous robot. The annotations of the video data further showed that gazeshifts (e.g., from an object to the robot or vice versa) and laughter are typical reactionsto unexpected robot behavior. In contrast to existing research, we assess dimensionsof user experience that have not been considered so far and we analyze the reactionsusers express when a robot makes a mistake. Our results show that decoding a human'ssocial signals can help the robot understand that there is an error and subsequentlyreact accordingly.},
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pubstate = {published},
tppubtype = {article}
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We conducted a user study for which we purposefully programmed faulty behavior intoa robot's routine. It was our aim to explore if participants rate the faulty robot differentfrom an error-free robot and which reactions people show in interaction with a faultyrobot. The study was based on our previous research on robot errors where we detectedtypical error situations and the resulting social signals of our participants during socialhuman--robot interaction. In contrast to our previous work, where we studied videomaterial in which robot errors occurred unintentionally, in the herein reported user study,we purposefully elicited robot errors to further explore the human interaction partners'social signals following a robot error. Our participants interacted with a human-likeNAO, and the robot either performed faulty or free from error. First, the robot askedthe participants a set of predefined questions and then it asked them to complete acouple of LEGO building tasks. After the interaction, we asked the participants to ratethe robot's anthropomorphism, likability, and perceived intelligence. We also interviewedthe participants on their opinion about the interaction. Additionally, we video-coded thesocial signals the participants showed during their interaction with the robot as wellas the answers they provided the robot with. Our results show that participants likedthe faulty robot significantly better than the robot that interacted flawlessly. We did notfind significant differences in people's ratings of the robot's anthropomorphism and perceivedintelligence. The qualitative data confirmed the questionnaire results in showingthat although the participants recognized the robot's mistakes, they did not necessarilyreject the erroneous robot. The annotations of the video data further showed that gazeshifts (e.g., from an object to the robot or vice versa) and laughter are typical reactionsto unexpected robot behavior. In contrast to existing research, we assess dimensionsof user experience that have not been considered so far and we analyze the reactionsusers express when a robot makes a mistake. Our results show that decoding a human'ssocial signals can help the robot understand that there is an error and subsequentlyreact accordingly. |
2015
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Giuliani, Manuel; Mirnig, Nicole; Stollnberger, Gerald; Stadler, Susanne; Buchner, Roland; Tscheligi, Manfred Systematic Analysis of Video Data from Different Human-Robot Interaction Studies: A Categorisation of Social Signals During Error Situations Journal Article Frontiers in Psychology, 6 (931), 2015. Abstract | Links | BibTeX @article{Giuliani2015,
title = {Systematic Analysis of Video Data from Different Human-Robot Interaction Studies: A Categorisation of Social Signals During Error Situations},
author = {Manuel Giuliani and Nicole Mirnig and Gerald Stollnberger and Susanne Stadler and Roland Buchner and Manfred Tscheligi},
doi = {10.3389/fpsyg.2015.00931},
year = {2015},
date = {2015-01-01},
journal = {Frontiers in Psychology},
volume = {6},
number = {931},
abstract = {Human--robot interactions are often affected by error situations that are caused by either the robot or the human. Therefore, robots would profit from the ability to recognize when error situations occur. We investigated the verbal and non-verbal social signals that humans show when error situations occur in human--robot interaction experiments. For that, we analyzed 201 videos of five human--robot interaction user studies with varying tasks from four independent projects. The analysis shows that there are two types of error situations: social norm violations and technical failures. Social norm violations are situations in which the robot does not adhere to the underlying social script of the interaction. Technical failures are caused by technical shortcomings of the robot. The results of the video analysis show that the study participants use many head movements and very few gestures, but they often smile, when in an error situation with the robot. Another result is that the participants sometimes stop moving at the beginning of error situations. We also found that the participants talked more in the case of social norm violations and less during technical failures. Finally, the participants use fewer non-verbal social signals (for example smiling, nodding, and head shaking), when they are interacting with the robot alone and no experimenter or other human is present. The results suggest that participants do not see the robot as a social interaction partner with comparable communication skills. Our findings have implications for builders and evaluators of human--robot interaction systems. The builders need to consider including modules for recognition and classification of head movements to the robot input channels. The evaluators need to make sure that the presence of an experimenter does not skew the results of their user studies.},
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pubstate = {published},
tppubtype = {article}
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Human--robot interactions are often affected by error situations that are caused by either the robot or the human. Therefore, robots would profit from the ability to recognize when error situations occur. We investigated the verbal and non-verbal social signals that humans show when error situations occur in human--robot interaction experiments. For that, we analyzed 201 videos of five human--robot interaction user studies with varying tasks from four independent projects. The analysis shows that there are two types of error situations: social norm violations and technical failures. Social norm violations are situations in which the robot does not adhere to the underlying social script of the interaction. Technical failures are caused by technical shortcomings of the robot. The results of the video analysis show that the study participants use many head movements and very few gestures, but they often smile, when in an error situation with the robot. Another result is that the participants sometimes stop moving at the beginning of error situations. We also found that the participants talked more in the case of social norm violations and less during technical failures. Finally, the participants use fewer non-verbal social signals (for example smiling, nodding, and head shaking), when they are interacting with the robot alone and no experimenter or other human is present. The results suggest that participants do not see the robot as a social interaction partner with comparable communication skills. Our findings have implications for builders and evaluators of human--robot interaction systems. The builders need to consider including modules for recognition and classification of head movements to the robot input channels. The evaluators need to make sure that the presence of an experimenter does not skew the results of their user studies. |
Aslan, Ilhan; Weixelbaumer, Barbara; Maurer, Bernhard; Wurhofer, Daniela; Meschtscherjakov, Alexander; Tscheligi, Manfred Sounds Like It Works: Music-based Navigation to Improve the Cleanroom Experience Inproceedings Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, pp. 1657–1662, ACM, New York, NY, USA, 2015, ISSN: 978-1-4503-3146-3. Links | BibTeX @inproceedings{Aslan2015c,
title = {Sounds Like It Works: Music-based Navigation to Improve the Cleanroom Experience},
author = {Ilhan Aslan and Barbara Weixelbaumer and Bernhard Maurer and Daniela Wurhofer and Alexander Meschtscherjakov and Manfred Tscheligi},
doi = {10.1145/2702613.2732823},
issn = {978-1-4503-3146-3},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems},
pages = {1657--1662},
publisher = {ACM},
address = {New York, NY, USA},
series = {CHI EA '15},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Buchner, Roland; Fuchsberger, Verena; Weiss, Astrid; Tscheligi, Manfred Designing for the Factory: UX Prototyping for the Cleanroom Inproceedings INTERACT 2015 Adjunct Proceedings: 15th IFIP TC. 13 International Conference on Human-Computer Interaction 14-18 September 2015, Bamberg, Germany, pp. 145, University of Bamberg Press, 2015. BibTeX @inproceedings{Buchner2015,
title = {Designing for the Factory: UX Prototyping for the Cleanroom},
author = {Roland Buchner and Verena Fuchsberger and Astrid Weiss and Manfred Tscheligi},
year = {2015},
date = {2015-01-01},
booktitle = {INTERACT 2015 Adjunct Proceedings: 15th IFIP TC. 13 International Conference on Human-Computer Interaction 14-18 September 2015, Bamberg, Germany},
volume = {22},
pages = {145},
publisher = {University of Bamberg Press},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Meneweger, Thomas; Obrist, Marianna; Tscheligi, Manfred Meanings of a Blurred Mobile-Home Context for People aged 50plus Inproceedings INTERACT 2015 Adjunct Proceedings: 15th IFIP TC. 13 International Conference on Human-Computer Interaction, pp. 335–341, University of Bamberg Press, Bamberg, Germany, 2015. BibTeX @inproceedings{Meneweger2015a,
title = {Meanings of a Blurred Mobile-Home Context for People aged 50plus},
author = {Thomas Meneweger and Marianna Obrist and Manfred Tscheligi},
year = {2015},
date = {2015-01-01},
booktitle = {INTERACT 2015 Adjunct Proceedings: 15th IFIP TC. 13 International Conference on Human-Computer Interaction},
pages = {335--341},
publisher = {University of Bamberg Press},
address = {Bamberg, Germany},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Meneweger, Thomas; Wurhofer, Daniela; Fuchsberger, Verena; Tscheligi, Manfred Working Together with Industrial Robots: Experiencing Robots in a Production Environment Inproceedings Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 833–838, 2015. Links | BibTeX @inproceedings{Meneweger2015b,
title = {Working Together with Industrial Robots: Experiencing Robots in a Production Environment},
author = {Thomas Meneweger and Daniela Wurhofer and Verena Fuchsberger and Manfred Tscheligi},
doi = {10.1109/ROMAN.2015.7333641},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)},
pages = {833--838},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Mirnig, Nicole; Giuliani, Manuel; Stollnberger, Gerald; Stadler, Susanne; Buchner, Roland; Tscheligi, Manfred Impact of Robot Actions on Social Signals and Reaction Times in HRI Error Situations Inproceedings Tapus, A (Ed.): Social Robotics, pp. 461–471, Springer International Publishing, 2015. Links | BibTeX @inproceedings{Mirnig2015c,
title = {Impact of Robot Actions on Social Signals and Reaction Times in HRI Error Situations},
author = {Nicole Mirnig and Manuel Giuliani and Gerald Stollnberger and Susanne Stadler and Roland Buchner and Manfred Tscheligi},
editor = {A Tapus},
doi = {10.1007/978-3-319-25554-5},
year = {2015},
date = {2015-01-01},
booktitle = {Social Robotics},
volume = {9388},
pages = {461--471},
publisher = {Springer International Publishing},
series = {Lecture Notes in Artificial Intelligence},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Wurhofer, Daniela; Fuchsberger, Verena; Meneweger, Thomas; Moser, Christiane; Tscheligi, Manfred Insights from UX Research in the Factory: What to Consider in Interaction Design Inproceedings Proceedings of Human Work Interaction Design, 2015. Links | BibTeX @inproceedings{Wurhofer2015d,
title = {Insights from UX Research in the Factory: What to Consider in Interaction Design},
author = {Daniela Wurhofer and Verena Fuchsberger and Thomas Meneweger and Christiane Moser and Manfred Tscheligi},
doi = {10.1007/978-3-319-27048-7_3},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of Human Work Interaction Design},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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Wurhofer, Daniela; Meneweger, Thomas; Fuchsberger, Verena; Tscheligi, Manfred Deploying Robots in a Production Environment: A Study on Temporal Transitions of Workers' Experiences Inproceedings Abascal, Julio; Barbosa, Simone; Fetter, Mirko; Gross, Tom; Palanque, Philippe; Winckler, Marco (Ed.): Proceedings of INTERACT 2015, pp. 203–220, Springer International Publishing, 2015, ISBN: 978-3-319-22697-2. Links | BibTeX @inproceedings{Wurhofer2015a,
title = {Deploying Robots in a Production Environment: A Study on Temporal Transitions of Workers' Experiences},
author = {Daniela Wurhofer and Thomas Meneweger and Verena Fuchsberger and Manfred Tscheligi},
editor = {Julio Abascal and Simone Barbosa and Mirko Fetter and Tom Gross and Philippe Palanque and Marco Winckler},
doi = {10.1007/978-3-319-22698-9_14},
isbn = {978-3-319-22697-2},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of INTERACT 2015},
volume = {9298},
pages = {203--220},
publisher = {Springer International Publishing},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Wurhofer, Daniela Temporal Transitions of User Experience Inproceedings Adjunct Proceedings of Interact 2015, pp. 21–25, 2015. BibTeX @inproceedings{Wurhofer2015e,
title = {Temporal Transitions of User Experience},
author = {Daniela Wurhofer},
year = {2015},
date = {2015-01-01},
booktitle = {Adjunct Proceedings of Interact 2015},
pages = {21--25},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2014
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Fuchsberger, Verena; Murer, Martin; Meneweger, Thomas; Tscheligi, Manfred Capturing the In-Between of Interactive Artifacts and Users: A Materiality-Centered Approach Inproceedings NordiCHI '14: The 8th Nordic Conference on Human-Computer Interaction Proceedings, pp. 451–460, 2014. Links | BibTeX @inproceedings{Fuchsberger2014b,
title = {Capturing the In-Between of Interactive Artifacts and Users: A Materiality-Centered Approach},
author = {Verena Fuchsberger and Martin Murer and Thomas Meneweger and Manfred Tscheligi},
doi = {10.1145/2639189.2639219},
year = {2014},
date = {2014-01-01},
booktitle = {NordiCHI '14: The 8th Nordic Conference on Human-Computer Interaction Proceedings},
pages = {451--460},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Krischkowsky, Alina; Fuchsberger, Verena; Tscheligi, Manfred Revisiting Corporate Social Media: Challenges and Implications from a Long-Term Study Inproceedings ACM Conference on Supporting Groupwork, GROUP'14, ACM, ACM, New York, NY, 2014. Abstract | Links | BibTeX @inproceedings{Krischkowsky2014,
title = {Revisiting Corporate Social Media: Challenges and Implications from a Long-Term Study},
author = {Alina Krischkowsky and Verena Fuchsberger and Manfred Tscheligi},
doi = {10.1145/2660398.2660411},
year = {2014},
date = {2014-01-01},
booktitle = {ACM Conference on Supporting Groupwork, GROUP'14},
publisher = {ACM},
address = {ACM, New York, NY},
abstract = {In a multi-step assessment of a corporate social media platform, which has been implemented in a large company for internal collaboration, we identified three major challenges regarding acceptance and adoption of the platform: (1) diverging perspectives & uncertain top-down communication, (2) functionality jungle & high usage complexity, and (3) lacking collaboration & customization. Based on these challenges, we discuss potential implications for design and implementation of corporate social media. The challenges and implications were derived from data gathered in two rounds of polling employees of the company, where we found that the surveyed employees tended to initially accept the internally implemented social media platform. Nevertheless, by assessing their attitude one and a half years later, we came to understand that the employees have rarely adopted the platform into their daily work practices. This finding led us to analyze in detail the qualitative data gathered along with the survey, as it holds valuable examples and explanations to better understand this phenomenon. Besides presenting the results of the surveys, this paper focuses on the discussion of challenges and implications for enhancing collaboration and supporting adoption processes of social media in workplaces.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In a multi-step assessment of a corporate social media platform, which has been implemented in a large company for internal collaboration, we identified three major challenges regarding acceptance and adoption of the platform: (1) diverging perspectives & uncertain top-down communication, (2) functionality jungle & high usage complexity, and (3) lacking collaboration & customization. Based on these challenges, we discuss potential implications for design and implementation of corporate social media. The challenges and implications were derived from data gathered in two rounds of polling employees of the company, where we found that the surveyed employees tended to initially accept the internally implemented social media platform. Nevertheless, by assessing their attitude one and a half years later, we came to understand that the employees have rarely adopted the platform into their daily work practices. This finding led us to analyze in detail the qualitative data gathered along with the survey, as it holds valuable examples and explanations to better understand this phenomenon. Besides presenting the results of the surveys, this paper focuses on the discussion of challenges and implications for enhancing collaboration and supporting adoption processes of social media in workplaces. |
Wurhofer, Daniela; Buchner, Roland; Tscheligi, Manfred Research in the Semiconductor Factory: Insights into Experiences and Contextual Influences Inproceedings Proceedings of 7th International Conference on Human System Interaction (HSI), pp. 129–134, 2014. Abstract | BibTeX @inproceedings{Wurhofer2014,
title = {Research in the Semiconductor Factory: Insights into Experiences and Contextual Influences},
author = {Daniela Wurhofer and Roland Buchner and Manfred Tscheligi},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of 7th International Conference on Human System Interaction (HSI)},
pages = {129--134},
abstract = {Research in the context of a semiconductor factoryis a challenging but important endeavor. In our studies weinvestigated experiences of two different working groups:operators and shift leads. By means of a creative card approachwe asked participants to express themselves and explain theirviewpoints concerning work in the semiconductor factory. Tocomplement the qualitative results with quantitative data, theresults were transferred into follow-up questionnaires. Based onour results, we describe operators' and shift leads' everydayexperiences in the semiconductor factory as well as contextualinfluences on it. Our work contributes towards a betterunderstanding of the semiconductor factory from a worker'spoint of view, providing a basis to improve workers' dailyexperiences and foster work performance.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Research in the context of a semiconductor factoryis a challenging but important endeavor. In our studies weinvestigated experiences of two different working groups:operators and shift leads. By means of a creative card approachwe asked participants to express themselves and explain theirviewpoints concerning work in the semiconductor factory. Tocomplement the qualitative results with quantitative data, theresults were transferred into follow-up questionnaires. Based onour results, we describe operators' and shift leads' everydayexperiences in the semiconductor factory as well as contextualinfluences on it. Our work contributes towards a betterunderstanding of the semiconductor factory from a worker'spoint of view, providing a basis to improve workers' dailyexperiences and foster work performance. |
2013
|
Buchner, Roland; Wurhofer, Daniela; Weiss, Astrid; Tscheligi, Manfred Robots in Time: How User Experience in Human-Robot Interaction Changes over Time Inproceedings ICSR International Conference on Social Robotics, 2013. BibTeX @inproceedings{Buchner2013a,
title = {Robots in Time: How User Experience in Human-Robot Interaction Changes over Time},
author = {Roland Buchner and Daniela Wurhofer and Astrid Weiss and Manfred Tscheligi},
year = {2013},
date = {2013-01-01},
booktitle = {ICSR International Conference on Social Robotics},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
