The work reports ongoing research about a computational method, based on cooperative games on graphs, aimed at detecting the perceived origin of full-body human movement and its propagation. Compared with previous works, a larger set of movement ...

This paper describes to approaches to develop simple systems for expressive bodily interaction with music, without prior musical knowledge on the user's part. It discusses two almost oppositional models: 1. Modifying a preexisting recording through ...

To analyze human interaction behavior in a group or crowd, identification and device time synchronization are essential but time demanding to be performed manually. To automate the two processes jointly without any calibration steps nor auxiliary sensor,...

Social interactions in general are multifaceted and there exists a wide set of factors and events that influence them. In this paper, we quantify social interactions with a holistic viewpoint on individual experiences, particularly focusing on non-task-...

Automated prediction of group task performance normally proceeds by extracting linguistic, acoustic, or multimodal features from an entire conversation in order to predict an objective task measure. In this work, we investigate whether we can maintain ...

Group cohesion is a multidimensional emergent state that manifests during group interaction. It has been extensively studied in several disciplines such as Social Sciences and Computer Science and it has been investigated through both verbal and ...

Automatic analysis of students' collaborative interactions in physical settings is an emerging problem with a wide range of applications in education. However, this problem has been proven to be challenging due to the complex, interdependent and dynamic ...

Trust is a central element for effective teamwork and successful human-technology collaboration. Although technologies, such as agents, are increasingly becoming autonomous team members operating alongside humans, research on team trust in human-agent ...

Interview data is multimodal data: it consists of speech sound, facial expression and gestures, captured in a particular situation, and containing textual information and emotion. This workshop shows how a multidisciplinary approach may exploit the full ...

Food identification technology potentially benefits both food and media industries, and can enrich human-computer interaction. We assembled a food classification dataset consisting of 11,141 clips, based on YouTube videos of 20 food types. This dataset ...

How food is presented and eaten influences the eating experience. Novel gustatory interfaces have opened up new ways for eating at the dining table. For example, recent developments in acoustic technology have enabled the transportation of food and ...

This paper presents two use cases for a new multimodal interactive instrument: the Sensory Interactive Table. The Sensory Interactive Table is an instrumented, interactive dining table, that measures eating behavior - through the use of embedded load ...

The emotions we experience shape our perception, and our emotion is shaped by our perceptions. Taste perception is also influenced by emotions. Positive and negative emotions alter sweetness, sourness, and bitterness perception. However, most previous ...

Multisensory augmented reality systems have demonstrated the potential of olfactory cues in the augmentation of flavor perception. Earlier studies have mainly used commercially available sample products. In this study, custom rye-based cakes with ...

Eating together is one of the most treasured human activities. Its benefits range from improving the taste of food to mitigating the feelings of loneliness. In 2020, many countries have adopted lock-down and social distancing policies, forcing people to ...

Commensality is defined as "a social group that eats together", and eating in a commensality setting has a number of positive effects on humans. The purpose of this paper is to investigate the effects of technology on commensality by presenting an ...

Implicit approach-avoidance tendencies can be measured by the approach-avoidance task (AAT). The emergence of mobile variants of the AAT enable its use for both in-the-lab and in-the-field experiments. Within the food domain, use of the AAT is ...

Eating is a process that involves all senses. Recent research has shown that both food-intrinsic and extrinsic sensory factors play a role in the taste of the food we consume. Moreover, many studies have explored the relationship between emotional state ...

This paper focuses on: (i) Automatic recognition of taste-liking from facial videos by comparatively training and evaluating models with engineered features and state-of-the-art deep learning architectures, and (ii) analysing the classification results ...

This initial study explores the design of flavor-based cues with older adults for their self-defining memories. It proposes using food to leverage the connections between odor and memory to develop new multisensory memory cues. Working with 4 older ...