Views provided by UsageCounts
The Digital Commensality Data-set consists of facial activity data of 11 pairs of persons sharing a meal online through a videoconferencing software and self-reported qualitative and qualitative measures of their commensal experience (Computer-Mediated Communication questionnaire and Digital Commensality questionnaire). Facial activity data is extracted using the OpenFace tool. If you use this data-set for the uses allowed in the license, e.g., research purposes, please add the following citation: Ceccaldi, E., Niewiadomski, R., Mancini, M., & Volpe, G. (2022). What's on your plate? Collecting multimodal data to understand commensal behavior. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.911000
Non-anonymous data (e.g., video, audio, annotation) was excluded from this dataset to be compliant with privacy requirements. For more information, contact the data-set authors: eleonoraceccaldi@gmail.com r.niewiadomski@unitn.it m.mancini@di.uniroma1.it
{"references": ["Ceccaldi, E., Niewiadomski, R., Mancini, M., & Volpe, G. (2022). What's on your plate? Collecting multimodal data to understand commensal behavior. Frontiers in Psychology, 13"]}
hci, social interaction, activity recognition, commensality, computational commensality, eating, facial expression
hci, social interaction, activity recognition, commensality, computational commensality, eating, facial expression
| 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 | 4 |

Views provided by UsageCounts