Downloads provided by UsageCounts
We introduce a multimodal dataset in which subjects are instructing each other how to assemble IKEA furniture. Using the concept of "Chinese Whispers", an old kids' game, we employ a novel method to avoid implicit experimenter biases. We let subjects instruct each other on the nature of the task: the process of the furniture assembly. Uncertainty, hesitations, repairs and self-corrections are naturally introduced in the incremental process of establishing common ground. The corpus consists of 34 interactions, where each subject first assembles and then instructs. We collected speech, eye-gaze, pointing gestures, and object movements, as well as subjective interpretations of mutual understanding, collaboration and task recall. The corpus is of particular interest to researchers who are interested in multimodal signals in situated dialogue, especially in referential communication and the process of language grounding.
{"references": ["Kontogiorgos, D., Sibirtseva, E., & Gustafson, J. (2020, May). Chinese whispers: A multimodal dataset for embodied language grounding. In Proceedings of The 12th Language Resources and Evaluation Conference (pp. 743-749)."]}
This is a sample of the dataset. To obtain the full dataset you can contact the corresponding author Dimosthenis Kontogiorgos at diko@kth.se
multimodal interaction, situated dialogue and discourse, grounding, referential communication, non-verbal signals
multimodal interaction, situated dialogue and discourse, grounding, referential communication, non-verbal signals
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 39 | |
| downloads | 42 |

Views provided by UsageCounts
Downloads provided by UsageCounts