@inproceedings{KousidisKenningtonBaumannetal., author = {Kousidis, Spyros and Kennington, Casey and Baumann, Timo and Buschmeier, Hendrik and Kopp, Stefan and Schlangen, David}, title = {Situationally Aware In-Car Information Presentation Using Incremental Speech Generation: Safer, and More Effective}, series = {Proceedings of the EACL 2014 Workshop on Dialogue in Motion, Gothenburg, Sweden}, booktitle = {Proceedings of the EACL 2014 Workshop on Dialogue in Motion, Gothenburg, Sweden}, publisher = {Association for Computational Linguistics}, doi = {10.3115/v1/W14-0212}, pages = {68 -- 72}, abstract = {Holding non-co-located conversationswhile driving is dangerous (Horrey and- Wickens, 2006; Strayer et al., 2006), much more so than conversations with physically present, "situated" interlocutors (Drews et al., 2004). In-car dialogue systems typically resemble non-co-located conversations more, and share their negative impact (Strayer et al., 2013). We implemented and tested a simple strategy for making in-car dialogue systems aware of the driving situation, by giving them the capability to interrupt themselves when a dangerous situation is detected,and resume when over. We show that this improves both driving performance and recall of system-presented information, compared to a non-adaptive strategy.}, language = {en} } @inproceedings{KenningtonKousidisBaumannetal., author = {Kennington, Casey and Kousidis, Spyros and Baumann, Timo and Buschmeier, Hendrik and Kopp, Stefan and Schlangen, David}, title = {Better Driving and Recall When In-car Information Presentation Uses Situationally-Aware Incremental Speech Output Generation}, series = {Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI '14, Seattle WA, USA, September 17 - 19, 2014}, booktitle = {Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI '14, Seattle WA, USA, September 17 - 19, 2014}, editor = {Miller, Erika and Wu, Yuqing}, publisher = {ACM}, address = {New York, NY}, doi = {10.1145/2667317.2667332}, pages = {1 -- 7}, abstract = {It is established that driver distraction is the result of sharing cognitive resources between the primary task (driving) and any other secondary task. In the case of holding conversations, a human passenger who is aware of the driving conditions can choose to interrupt his speech in situations potentially requiring more attention from the driver, but in-car information systems typically do not exhibit such sensitivity. We have designed and tested such a system in a driving simulation environment. Unlike other systems, our system delivers information via speech (calendar entries with scheduled meetings) but is able to react to signals from the environment to interrupt when the driver needs to be fully attentive to the driving task and subsequently resume its delivery. Distraction is measured by a secondary short-term memory task. In both tasks, drivers perform significantly worse when the system does not adapt its speech, while they perform equally well to control conditions (no concurrent task) when the system intelligently interrupts and resumes.}, language = {en} } @inproceedings{KousidisKenningtonBaumannetal., author = {Kousidis, Spyros and Kennington, Casey and Baumann, Timo and Buschmeier, Hendrik and Kopp, Stefan and Schlangen, David}, title = {A Multimodal In-Car Dialogue System That Tracks The Driver's Attention}, series = {Proceedings of the 16th International Conference on Multimodal Interaction, ICMI '14, November 12 - 16 2014, Istanbul}, booktitle = {Proceedings of the 16th International Conference on Multimodal Interaction, ICMI '14, November 12 - 16 2014, Istanbul}, editor = {Ali Salah, Albert}, publisher = {ACM}, address = {New York, NY}, isbn = {9781450328852}, doi = {10.1145/2663204.2663244}, pages = {26 -- 33}, abstract = {When a passenger speaks to a driver, he or she is co-located with the driver, is generally aware of the situation, and can stop speaking to allow the driver to focus on the driving task. In-car dialogue systems ignore these important aspects, making them more distracting than even cell-phone conversations. We developed and tested a "situationally-aware" dialogue system that can interrupt its speech when a situation which requires more attention from the driver is detected, and can resume when driving conditions return to normal. Furthermore, our system allows driver-controlled resumption of interrupted speech via verbal or visual cues (head nods). Over two experiments, we found that the situationally-aware spoken dialogue system improves driving performance and attention to the speech content, while driver-controlled speech resumption does not hinder performance in either of these two tasks}, language = {en} } @misc{KempfBieberCorstenetal., author = {Kempf, Sabrina and Bieber, Claudia and Corsten, Sabine and Lutz-Kopp, Matthias and Heim, Stefan and Lauer, Norina}, title = {Mitbetroffen von Aphasie: Die subjektiv empfundene Lebensqualit{\"a}t der Angeh{\"o}rigen von Menschen mit Aphasie}, series = {Jahrestagung der Gesellschaft f{\"u}r Aphasieforschung und -behandlung (GAB), Tagungsband}, journal = {Jahrestagung der Gesellschaft f{\"u}r Aphasieforschung und -behandlung (GAB), Tagungsband}, address = {Osnabr{\"u}ck}, doi = {10.13140/RG.2.2.20665.77922}, pages = {62 -- 63}, abstract = {Als Systemerkrankung beeinflusst die neurologische Sprachst{\"o}rung Aphasie nicht nur die Betroffenen sondern in vergleichbarem Maße auch die Angeh{\"o}rigen. Es zeigt sich, dass die Lebensqualit{\"a}t der Angeh{\"o}rigen beeintr{\"a}chtigt ist. Ziel der qualitativen Studie ist es, die subjektive Perspektive der Angeh{\"o}rigen auf die eigene Situation n{\"a}her zu betrachten.}, language = {de} } @misc{KempfBieberCorstenetal., author = {Kempf, Sabrina and Bieber, Claudia and Corsten, Sabine and Lutz-Kopp, Matthias and Heim, Stefan and Lauer, Norina}, title = {Mitbetroffen von Aphasie: Die subjektiv empfundene Lebensqualit{\"a}t der Angeh{\"o}rigen von Menschen mit Aphasie}, series = {Jahrestagung des Deutschen Bundesverbands f{\"u}r Logop{\"a}die, Mainz}, journal = {Jahrestagung des Deutschen Bundesverbands f{\"u}r Logop{\"a}die, Mainz}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-8661}, pages = {49}, language = {de} } @inproceedings{BuschmeierBaumannDorschetal., author = {Buschmeier, Hendrik and Baumann, Timo and Dorsch, Benjamin and Kopp, Stefan and Schlangen, David}, title = {Combining Incremental Language Generation and Incremental Speech Synthesis for Adaptive Information Presentation}, series = {SIGDIAL '12: Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Seoul, South Korea, July 5 - 6, 2012}, booktitle = {SIGDIAL '12: Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Seoul, South Korea, July 5 - 6, 2012}, publisher = {Association for Computational Linguistics}, doi = {10.5555/2392800.2392852}, pages = {295 -- 303}, abstract = {Participants in a conversation are normally receptive to their surroundings and their interlocutors, even while they are speaking and can, if necessary, adapt their ongoing utterance. Typical dialogue systems are not receptive and cannot adapt while uttering. We present combin-able components for incremental natural lan-guage generation and incremental speech syn-thesis and demonstrate the flexibility they can achieve with an example system that adapts to a listener's acoustic understanding problems by pausing, repeating and possibly rephrasing problematic parts of an utterance. In an evaluation, this system was rated as significantly more natural than two systems representing the current state of the art that either ignore the interrupting event or just pause; it also has a lower response time.}, language = {en} } @inproceedings{SchlangenBaumannBuschmeieretal., author = {Schlangen, David and Baumann, Timo and Buschmeier, Hendrik and Buß, Okko and Kopp, Stefan and Skantze, Gabriel and Yaghoubzadeh, Ramin}, title = {Middleware for Incremental Processing in Conversational Agents}, series = {Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SigDial 2010), September 24 - 25, 2010, Tokyo Japan}, booktitle = {Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SigDial 2010), September 24 - 25, 2010, Tokyo Japan}, publisher = {Association for Computational Linguistics}, address = {Tokyo, Japan}, pages = {51 -- 54}, abstract = {We describe work done at three sites on designing conversational agents capable of incremental processing. We focus on the ‘middleware’ layer in these systems, which takes care of passing around and maintaining incremental information between the modules of such agents. All implementations are based on the abstract model of incremental dialogue processing proposed by Schlangen and Skantze (2009), and the paper shows what different instantiations of the model can look like given specific requirements and application areas.}, language = {en} } @incollection{vanWelbergenBaumannSchlangenetal., author = {van Welbergen, Herwin and Baumann, Timo and Schlangen, David and Kopp, Stefan}, title = {Incremental, Adaptive and Interruptive Speech Realization for Fluent Conversation with ECAs}, series = {Intelligent Virtual Agents}, booktitle = {Intelligent Virtual Agents}, publisher = {Springer}, isbn = {978-3-642-40414-6}, pages = {468 -- 469}, abstract = {This project aimed to establish the feasibility of creating a procedural system for generating expressive facial animation based on an affective agent. A procedural system supporting a limited number of emotional expression changes was created alongside keyframed animations of these same emotional expression changes, and audience response to these two approaches was tested empirically. Results seem to partially support the procedural animations generated being comparable with keyframed, in terms of perceptual validity.}, language = {en} }