Publikationen

2020

1.
Lugrin, B., Ströle, E., Obremski, D., Schwab, F., Lange, B.: What if it speaks like it was from the village? Effects of a Robot speaking in Regional Language Variations on Users’ Evaluations. 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). pp. 1315–1320 (2020).
[ Abstract ] [ BibTeX ] [ EndNote ] [ URL ]
 
The present contribution investigates the effects of spoken language varieties, in particular non-standard / regional language compared to standard language (in our study: High German), in social robotics. Based on (media) psychological and sociolinguistic research, we assumed that a robot speaking in regional language (i.e., dialect and regional accent) would be considered less competent compared to the same robot speaking in standard language (H1). Contrarily, we assumed that regional language might enhance perceived social skills and likability of a robot, at least so when taking into account whether and how much the human observers making the evaluations talk in regional language themselves. More precisely, it was assumed that the more the study participants spoke in regional language, the better their ratings of the dialect-speaking robot on social skills and likeability would be (H2). We also investigated whether the robot’s gender (male vs. female voice) would have an effect on the ratings (RQ). H1 received full, H2 limited empirical support by the data, while the robot’s gender (RQ) turned out to be a mostly negligible factor. Based on our results, practical implications for robots speaking in regional language varieties are suggested.
@inproceedings{9223432, abstract = {The present contribution investigates the effects of spoken language varieties, in particular non-standard / regional language compared to standard language (in our study: High German), in social robotics. Based on (media) psychological and sociolinguistic research, we assumed that a robot speaking in regional language (i.e., dialect and regional accent) would be considered less competent compared to the same robot speaking in standard language (H1). Contrarily, we assumed that regional language might enhance perceived social skills and likability of a robot, at least so when taking into account whether and how much the human observers making the evaluations talk in regional language themselves. More precisely, it was assumed that the more the study participants spoke in regional language, the better their ratings of the dialect-speaking robot on social skills and likeability would be (H2). We also investigated whether the robot’s gender (male vs. female voice) would have an effect on the ratings (RQ). H1 received full, H2 limited empirical support by the data, while the robot’s gender (RQ) turned out to be a mostly negligible factor. Based on our results, practical implications for robots speaking in regional language varieties are suggested.}, author = {Lugrin, B. and Ströle, E. and Obremski, D. and {Schwab}, F. and {Lange}, B.}, booktitle = {2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)}, keywords = {birgit obremski mi}, pages = {1315-1320}, title = {What if it speaks like it was from the village? Effects of a Robot speaking in Regional Language Variations on Users’ Evaluations}, year = 2020 }
%0 Conference Paper %1 9223432 %A Lugrin, B. %A Ströle, E. %A Obremski, D. %A Schwab, F. %A Lange, B. %B 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) %D 2020 %P 1315-1320 %R 10.1109/RO-MAN47096.2020.9223432 %T What if it speaks like it was from the village? Effects of a Robot speaking in Regional Language Variations on Users’ Evaluations %U https://ieeexplore.ieee.org/document/9223432/ %X The present contribution investigates the effects of spoken language varieties, in particular non-standard / regional language compared to standard language (in our study: High German), in social robotics. Based on (media) psychological and sociolinguistic research, we assumed that a robot speaking in regional language (i.e., dialect and regional accent) would be considered less competent compared to the same robot speaking in standard language (H1). Contrarily, we assumed that regional language might enhance perceived social skills and likability of a robot, at least so when taking into account whether and how much the human observers making the evaluations talk in regional language themselves. More precisely, it was assumed that the more the study participants spoke in regional language, the better their ratings of the dialect-speaking robot on social skills and likeability would be (H2). We also investigated whether the robot’s gender (male vs. female voice) would have an effect on the ratings (RQ). H1 received full, H2 limited empirical support by the data, while the robot’s gender (RQ) turned out to be a mostly negligible factor. Based on our results, practical implications for robots speaking in regional language varieties are suggested.
2.
Obremski, D., Wienrich, C., Carolus, A.: What the user’s voice tells us about UX - Analysing parameters of the voice as indicators of the User Experience of the usage of intelligent voice assistants. Presented at the (2020).
[ BibTeX ] [ EndNote ] [ URL ]
 
@inproceedings{https://doi.org/10.18420/muc2020-ws105-377, author = {Obremski, David and Wienrich, Carolin and Carolus, Astrid}, keywords = {myown obremski}, publisher = {Gesellschaft für Informatik e.V.}, title = {What the user’s voice tells us about UX - Analysing parameters of the voice as indicators of the User Experience of the usage of intelligent voice assistants}, year = 2020 }
%0 Conference Paper %1 https://doi.org/10.18420/muc2020-ws105-377 %A Obremski, David %A Wienrich, Carolin %A Carolus, Astrid %D 2020 %I Gesellschaft für Informatik e.V. %R 10.18420/MUC2020-WS105-377 %T What the user’s voice tells us about UX - Analysing parameters of the voice as indicators of the User Experience of the usage of intelligent voice assistants %U http://dl.gi.de/handle/20.500.12116/33544

2019

1.
Obremski, D., Lugrin, J.-L., Schaper, P., Lugrin, B.: Non-Native Speaker Generation and Perception for Mixed-Cultural Settings. ACM International Conference on Intelligent Virtual Agents 2019. (2019).
[ Abstract ] [ BibTeX ] [ EndNote ]
 
This paper presents an experiment evaluating the effects of virtual agents' language proficiency on whether they are perceived as a native speakers or not. Our first results indicate that beyond 10% word order mistakes and 25% infinitive mistakes, virtual agents are perceived as non-native speakers, even though their appearance and non-verbal behaviour were not altered. We believe these thresholds constitute interesting guidelines possibly simplifying the design of non-native speaker simulations.
@article{obremski2019nonnative, abstract = {This paper presents an experiment evaluating the effects of virtual agents' language proficiency on whether they are perceived as a native speakers or not. Our first results indicate that beyond 10% word order mistakes and 25% infinitive mistakes, virtual agents are perceived as non-native speakers, even though their appearance and non-verbal behaviour were not altered. We believe these thresholds constitute interesting guidelines possibly simplifying the design of non-native speaker simulations.}, author = {Obremski, David and Lugrin, Jean-Luc and Schaper, Philipp and Lugrin, Birgit}, journal = {ACM International Conference on Intelligent Virtual Agents 2019}, keywords = {schaper birgit myown IVA lugrin obremski mi}, publisher = {ACM}, title = {Non-Native Speaker Generation and Perception for Mixed-Cultural Settings}, year = 2019 }
%0 Journal Article %1 obremski2019nonnative %A Obremski, David %A Lugrin, Jean-Luc %A Schaper, Philipp %A Lugrin, Birgit %D 2019 %I ACM %J ACM International Conference on Intelligent Virtual Agents 2019 %R https://doi.org/10.1145/3308532.3329427 %T Non-Native Speaker Generation and Perception for Mixed-Cultural Settings %X This paper presents an experiment evaluating the effects of virtual agents' language proficiency on whether they are perceived as a native speakers or not. Our first results indicate that beyond 10% word order mistakes and 25% infinitive mistakes, virtual agents are perceived as non-native speakers, even though their appearance and non-verbal behaviour were not altered. We believe these thresholds constitute interesting guidelines possibly simplifying the design of non-native speaker simulations. %@ 978-1-4503-6672-4/19/07

2018

1.
Wienrich, C., Weidner, C.K., Schatto, C., Obremski, D., Israel, J.H.: A Virtual Nose as a Rest-Frame - The Impact on Simulator Sickness and Game Experience. 2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games). pp. 1–8 (2018).
[ Abstract ] [ BibTeX ] [ EndNote ] [ URL ]
 
This paper presents an experiment measuring the impact of a virtual nose on simulator sickness and game experience in a virtual reality game presented on an Oculus Rift DK 2. Furthermore, the presented study investigated in the significance of the rest-frameu0027s salience, for it to reduce simulator sickness. The results of our study indicated that the usage of a virtual nose reduces simulator sickness while it does not affect the game experience. Further results showed no significant impact of the rest-frameu0027s salience, neither on simulator sickness nor on the game experience. In sum, the outcome of the study supports the thesis that a rest-frame in form of a virtual nose can be used in virtual reality applications to reduce simulator sickness.
@inproceedings{8493408, abstract = {This paper presents an experiment measuring the impact of a virtual nose on simulator sickness and game experience in a virtual reality game presented on an Oculus Rift DK 2. Furthermore, the presented study investigated in the significance of the rest-frame\u0027s salience, for it to reduce simulator sickness. The results of our study indicated that the usage of a virtual nose reduces simulator sickness while it does not affect the game experience. Further results showed no significant impact of the rest-frame\u0027s salience, neither on simulator sickness nor on the game experience. In sum, the outcome of the study supports the thesis that a rest-frame in form of a virtual nose can be used in virtual reality applications to reduce simulator sickness.}, author = {Wienrich, C. and Weidner, C. K. and Schatto, C. and Obremski, D. and Israel, J. H.}, booktitle = {2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games)}, keywords = {myown obremski}, month = {Sep.}, pages = {1-8}, title = {A Virtual Nose as a Rest-Frame - The Impact on Simulator Sickness and Game Experience}, year = 2018 }
%0 Conference Paper %1 8493408 %A Wienrich, C. %A Weidner, C. K. %A Schatto, C. %A Obremski, D. %A Israel, J. H. %B 2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games) %D 2018 %P 1-8 %R 10.1109/VS-Games.2018.8493408 %T A Virtual Nose as a Rest-Frame - The Impact on Simulator Sickness and Game Experience %U https://ieeexplore.ieee.org/document/8493408/ %X This paper presents an experiment measuring the impact of a virtual nose on simulator sickness and game experience in a virtual reality game presented on an Oculus Rift DK 2. Furthermore, the presented study investigated in the significance of the rest-frameu0027s salience, for it to reduce simulator sickness. The results of our study indicated that the usage of a virtual nose reduces simulator sickness while it does not affect the game experience. Further results showed no significant impact of the rest-frameu0027s salience, neither on simulator sickness nor on the game experience. In sum, the outcome of the study supports the thesis that a rest-frame in form of a virtual nose can be used in virtual reality applications to reduce simulator sickness.

2016

1.
Lugrin, J.-L., Obremski, D., Roth, D., Latoschik, M.E.: Audio Feedback and Illusion of Virtual Body Ownership in Mixed Reality. Proceedings of the 22Nd ACM Conference on Virtual Reality Software and Technology. pp. 309–310. ACM, Munich, Germany (2016).
[ BibTeX ] [ EndNote ] [ URL ]
 
@inproceedings{Lugrin:2016:AFI:2993369.2996319, address = {New York, NY, USA}, author = {Lugrin, Jean-Luc and Obremski, David and Roth, Daniel and Latoschik, Marc Erich}, booktitle = {Proceedings of the 22Nd ACM Conference on Virtual Reality Software and Technology}, keywords = {myown ivbo}, pages = {309-310}, publisher = {ACM}, series = {VRST \u002716}, title = {Audio Feedback and Illusion of Virtual Body Ownership in Mixed Reality}, year = 2016 }
%0 Conference Paper %1 Lugrin:2016:AFI:2993369.2996319 %A Lugrin, Jean-Luc %A Obremski, David %A Roth, Daniel %A Latoschik, Marc Erich %B Proceedings of the 22Nd ACM Conference on Virtual Reality Software and Technology %C New York, NY, USA %D 2016 %I ACM %P 309-310 %R 10.1145/2993369.2996319 %T Audio Feedback and Illusion of Virtual Body Ownership in Mixed Reality %U https://downloads.hci.informatik.uni-wuerzburg.de/2016-vrst-audiofeedback-and-ivbo.pdf %@ 978-1-4503-4491-3