The Centre for Speech Technology Research, The university of Edinburgh

Publications by Martin I. Tietze

mtietze.bib

@inproceedings{tietze:08:sci,
  author = {Martin Tietze and Vera Demberg and Johanna D. Moore},
  title = {Syntactic Complexity induces Explicit Grounding in the
                   {MapTask} corpus},
  booktitle = {Proc. Interspeech},
  abstract = {This paper provides evidence for theories of grounding
                   and dialogue management in human conversation. For each
                   utterance in a corpus of task-oriented dialogues, we
                   calculated integration costs, which are based on
                   syntactic sentence complexity. We compared the
                   integration costs and grounding behavior under two
                   conditions, namely face-to-face and a no-eye-contact
                   condition. The results show that integration costs were
                   significantlyhigher for explicitly grounded utterances
                   in the no-eye-contact condition, but not in the
                   face-to-face condition.},
  categories = {dialogue, syntactic complexity, grounding},
  month = sep,
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2008/IS081130.pdf},
  year = 2008
}
@inproceedings{tietze:09,
  author = {Martin I. Tietze and Andi Winterboer and Johanna D.
                   Moore},
  title = {The effect of linguistic devices in information
                   presentation messages on recall and comprehension},
  booktitle = {Proceedings ENLG09},
  categories = {discourse cues, verbal information presentation,
                   recall, eye-tracking, Mechanical Turk},
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2009/tietze.ENLG09.pdf},
  year = 2009
}
@article{winterboer-csl:11,
  author = {Andi K. Winterboer and Martin I. Tietze and Maria K.
                   Wolters and Johanna D. Moore},
  title = {The user-model based summarize and refine approach
                   improves information presentation in spoken dialog
                   systems},
  journal = {Computer Speech and Language},
  volume = {25},
  number = {2},
  pages = {175-191},
  abstract = {A common task for spoken dialog systems (SDS) is to
                   help users select a suitable option (e.g., flight,
                   hotel, and restaurant) from the set of options
                   available. As the number of options increases, the
                   system must have strategies for generating summaries
                   that enable the user to browse the option space
                   efficiently and successfully. In the user-model based
                   summarize and refine approach (UMSR, Demberg and Moore,
                   2006), options are clustered to maximize utility with
                   respect to a user model, and linguistic devices such as
                   discourse cues and adverbials are used to highlight the
                   trade-offs among the presented items. In a Wizard-of-Oz
                   experiment, we show that the UMSR approach leads to
                   improvements in task success, efficiency, and user
                   satisfaction compared to an approach that clusters the
                   available options to maximize coverage of the domain
                   (Polifroni et al., 2003). In both a laboratory
                   experiment and a web-based experimental paradigm
                   employing the Amazon Mechanical Turk platform, we show
                   that the discourse cues in UMSR summaries help users
                   compare different options and choose between options,
                   even though they do not improve verbatim recall. This
                   effect was observed for both written and spoken
                   stimuli.},
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2011/CSL10.pdf},
  year = 2011
}