A multimodal dataset of spontaneous speech and movement production on object affordances
Published on 2016-01-19T11:36:37Z (GMT) by
In the longstanding effort of defining object affordances, a number of resources have been developed on objects and associated knowledge. These resources, however, have limited potential for modeling and generalization mainly due to the restricted, stimulus-bound data collection methodologies adopted. To-date, therefore, there exists no resource that truly captures object affordances in a direct, multimodal, and naturalistic way. Here, we present the first such resource of "thinking aloud", spontaneously-generated verbal and motoric data on object affordances. This resource was developed from the reports of 124 participants divided in three behavioural experiments with visuo-tactile stimulation, which were captured audiovisually from two camera-views (frontal/profile). This methodology allowed the acquisition of approximately 95 hours of video, audio, and text data covering: object-feature-action data (e.g., perceptual features, namings, functions), Exploratory Acts (haptic manipulation for feature acquisition/verification), gestures and demonstrations for object/feature/action description, and reasoning patterns (e.g., justifications, analogies) for attributing a given characterization. The wealth and content of the data make this corpus a one-of-a-kind resource for the study and modeling of object affordances.
Cite this collection
Vatakis, Argiro; Pastra, Katerina (2016): A multimodal dataset of spontaneous speech and movement production on object affordances. figshare.