Comparative Analysis of Think-Aloud Methods for Everyday Activities in the Context of Cognitive Robotics

Moritz Meier, Celeste Mason, Felix Putze, Tanja Schultz


We describe our efforts to compare data collection methods using two think-aloud protocols in preparation to be used as a basis for automatic structuring and labeling of a large database of high-dimensional human activities data into a valuable resource for research in cognitive robotics. The envisioned dataset, currently in development, will contain synchronously recorded multimodal data, including audio, video, and biosignals (eye-tracking, motion-tracking, muscle and brain activity) from about 100 participants performing everyday activities while describing their task through use of think-aloud protocols. This paper provides details of our pilot recordings in the well-established and scalable “table setting scenario,” describes the concurrent and retrospective think-aloud protocols used, the methods used to analyze them, and compares their potential impact on the data collected as well as the automatic data segmentation and structuring process.


 DOI: 10.21437/Interspeech.2019-3072

Cite as: Meier, M., Mason, C., Putze, F., Schultz, T. (2019) Comparative Analysis of Think-Aloud Methods for Everyday Activities in the Context of Cognitive Robotics. Proc. Interspeech 2019, 559-563, DOI: 10.21437/Interspeech.2019-3072.


@inproceedings{Meier2019,
  author={Moritz Meier and Celeste Mason and Felix Putze and Tanja Schultz},
  title={{Comparative Analysis of Think-Aloud Methods for Everyday Activities in the Context of Cognitive Robotics}},
  year=2019,
  booktitle={Proc. Interspeech 2019},
  pages={559--563},
  doi={10.21437/Interspeech.2019-3072},
  url={http://dx.doi.org/10.21437/Interspeech.2019-3072}
}