Publikationen

2021

1.
Obremski, D., Lugrin, J.-L., Schaper, P., Lugrin, B.: Non-native speaker perception of Intelligent Virtual Agents in two languages: the impact of amount and type of grammatical mistakes. Journal on Multimodal User Interfaces. (2021).
[ Abstract ] [ BibTeX ] [ EndNote ] [ URL ]
 
Having a mixed-cultural membership becomes increasingly common in our modern society. It is thus beneficial in several ways to create Intelligent Virtual Agents (IVAs) that reflect a mixed-cultural background as well, e.g., for educational settings. For research with such IVAs, it is essential that they are classified as non-native by members of a target culture. In this paper, we focus on variations of IVAs' speech to create the impression of non-native speakers that are identified as such by speakers of two different mother tongues. In particular, we investigate grammatical mistakes and identify thresholds beyond which the agents is clearly categorised as a non-native speaker. Therefore, we conducted two experiments: one for native speakers of German, and one for native speakers of English. Results of the German study indicate that beyond 10% of word order mistakes and 25% of infinitive mistakes German-speaking IVAs are perceived as non-native speakers. Results of the English study indicate that beyond 50% of omission mistakes and 50% of infinitive mistakes English-speaking IVAs are perceived as non-native speakers. We believe these thresholds constitute helpful guidelines for computational approaches of non-native speaker generation, simplifying research with IVAs in mixed-cultural settings.
@article{Obremski2021, abstract = {Having a mixed-cultural membership becomes increasingly common in our modern society. It is thus beneficial in several ways to create Intelligent Virtual Agents (IVAs) that reflect a mixed-cultural background as well, e.g., for educational settings. For research with such IVAs, it is essential that they are classified as non-native by members of a target culture. In this paper, we focus on variations of IVAs' speech to create the impression of non-native speakers that are identified as such by speakers of two different mother tongues. In particular, we investigate grammatical mistakes and identify thresholds beyond which the agents is clearly categorised as a non-native speaker. Therefore, we conducted two experiments: one for native speakers of German, and one for native speakers of English. Results of the German study indicate that beyond 10{\%} of word order mistakes and 25{\%} of infinitive mistakes German-speaking IVAs are perceived as non-native speakers. Results of the English study indicate that beyond 50{\%} of omission mistakes and 50{\%} of infinitive mistakes English-speaking IVAs are perceived as non-native speakers. We believe these thresholds constitute helpful guidelines for computational approaches of non-native speaker generation, simplifying research with IVAs in mixed-cultural settings.}, author = {Obremski, David and Lugrin, Jean-Luc and Schaper, Philipp and Lugrin, Birgit}, journal = {Journal on Multimodal User Interfaces}, keywords = {schaper birgit myown IVA lugrin obremski mi}, title = {Non-native speaker perception of Intelligent Virtual Agents in two languages: the impact of amount and type of grammatical mistakes}, year = 2021 }
%0 Journal Article %1 Obremski2021 %A Obremski, David %A Lugrin, Jean-Luc %A Schaper, Philipp %A Lugrin, Birgit %D 2021 %J Journal on Multimodal User Interfaces %R 10.1007/s12193-021-00369-9 %T Non-native speaker perception of Intelligent Virtual Agents in two languages: the impact of amount and type of grammatical mistakes %U https://doi.org/10.1007/s12193-021-00369-9 %X Having a mixed-cultural membership becomes increasingly common in our modern society. It is thus beneficial in several ways to create Intelligent Virtual Agents (IVAs) that reflect a mixed-cultural background as well, e.g., for educational settings. For research with such IVAs, it is essential that they are classified as non-native by members of a target culture. In this paper, we focus on variations of IVAs' speech to create the impression of non-native speakers that are identified as such by speakers of two different mother tongues. In particular, we investigate grammatical mistakes and identify thresholds beyond which the agents is clearly categorised as a non-native speaker. Therefore, we conducted two experiments: one for native speakers of German, and one for native speakers of English. Results of the German study indicate that beyond 10% of word order mistakes and 25% of infinitive mistakes German-speaking IVAs are perceived as non-native speakers. Results of the English study indicate that beyond 50% of omission mistakes and 50% of infinitive mistakes English-speaking IVAs are perceived as non-native speakers. We believe these thresholds constitute helpful guidelines for computational approaches of non-native speaker generation, simplifying research with IVAs in mixed-cultural settings.

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. 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2020). 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 = {29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2020)}, keywords = {birgit myown IVA obremski mi reflectedreality}, 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 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2020) %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