Automatic Recognition of Commensal Activities in Co-located and Online settings
Year:
2024
Type of item:
Contributo in atti di convegno
Tipologia ANVUR:
Contributo in Atti di convegno
Language:
Inglese
Congresso:
26th ACM International Conference on Multimodal Interaction
Place:
Costa Rica
Period:
4-8 Nov 2024
Page numbers:
1-5
Keyword:
Activity recognition, commensality, datasets, social interactions, co-located, in-person
Short description of contents:
Technological advancement has profoundly impacted how people
share meals, fostering research interest in new forms of commensality
such as tele-dining and eating with artificial companions.
Consequently, there is a need to develop computational methods
for recognizing commensal activities, that is, actions related to food
consumption and social signals displayed during meal-time. This paper
introduces the first dataset that consists of synchronized video
data of co-located dining dyads. The dataset is annotated with key
social signals such as speaking activity, smiling, and food-related
activities like chewing and food intake. Unlike previous studies that
use remote settings, this work emphasizes the differences between
online and co-located setups. A set of machine learning experiments
is conducted on our and existing datasets, reaching the best F-score
of 0.82. The cross-dataset analysis between co-located and online
datasets also evidences the significant disparity between these two
settings. While mixing co-located and online recordings may increase
the model’s generalizability, we notice strong differences
between the two settings, highlighting the importance of in-person
data recordings for accurate recognition.
Product ID:
140744
Handle IRIS:
11562/1133206
Last Modified:
April 20, 2025
Bibliographic citation:
Yazgi, Kheder; Beyan, Cigdem; Mancini, Maurizio; Niewiadomski, Radoslaw,
Automatic Recognition of Commensal Activities in Co-located and Online settings in Proceedings of 26th ACM International Conference on Multimodal Interaction
, Proceedings of "26th ACM International Conference on Multimodal Interaction"
, Costa Rica
, 4-8 Nov 2024
, 2024
, pp. 1-5