Hendrik Buschmeier

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In a previous study [1] we investigated properties of communicative feedback produced by attentive and non-attentive listeners in dialogue. Distracted listeners were found to produce less feedback communicating understanding. Here, we assess the role of prosody in differentiating between feedback functions. We find significant differences across all studied(More)
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 combinable components for incremental natural language generation and incremental speech(More)
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(More)
Alignment of interlocutors is a well known psycholinguistic phenomenon of great relevance for dialogue systems in general and natural language generation in particular. In this paper, we present the alignmentcapable microplanner SPUD prime. Using a priming-based model of interactive alignment, it is flexible enough to model the alignment behaviour of human(More)
Successful dialogue is based on collaborative efforts of the interactants to ensure mutual understanding. This paper presents work towards making conversational agents ‘attentive speakers’ that continuously attend to the communicative feedback given by their interlocutors and adapt their ongoing and subsequent communicative behaviour to their needs. A(More)
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"(More)
Holding non-co-located conversations while 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(More)
We report on the first results of an experiment designed to investigate properties of communicative feedback produced by nonattentive listeners in dialogue. Listeners were found to produce less feedback when distracted by an ancillary task. A decreased number of feedback expressions communicating understanding was a particularly reliable indicator of(More)
We report on the functional and timing relations between head movements and the overlapping verbal-vocal feedback expressions. We investigate the effect of a distraction task on head gesture behaviour and the co-occurring verbal feedback. The results show that head movements overlapping with verbal expressions in a distraction task differ in terms of(More)
Embodied conversational agents still do not achieve the fluidity and smoothness of natural conversational interaction. One main reason is that current system often respond with big latencies and in inflexible ways. We argue that to overcome these problems, real-time conversational agents need to be based on an underlying architecture that provides two(More)