The information we acquire in real life gives us a holistic experience that fully incorporates a variety of sensations and bodily motions such as seeing, hearing, speaking, touching, smelling, tasting, and moving. However, the sensory modalities that ...

In this paper a brief overview of the third workshop on Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction. The paper is focussing on the main aspects intended to be discussed in the workshop reflecting the main scope of the ...

This is an introductory paper for the workshop entitled ‘Multi-Sensorial Approaches to Human-Food Interaction’ held at ICMI 2016, which took place the 16th of November, 2016 in Tokyo, Japan. Here we discuss our objectives and the relevance of the ...

In this paper the organisers present a brief overview of the 2nd International Workshop on Emotion Representations and Modelling for Companion Systems (ERM4CT). The ERM4CT 2016 Workshop is held in conjunction with the 18th ACM International Conference ...

A multimodal system for public speaking with real time feedback has been developed using the Microsoft Kinect. The system has been developed within the paradigm of positive computing which focuses on designing for user wellbeing. The system detects ...

In this paper we describe a demonstration of our multimodal affective feedback designs, used in research to expand the emotional expressivity of interfaces. The feedback leverages inherent associations and reactions to thermal, vibrotactile, auditory ...

Kansei values are critical factors in manufacturing in Japan. As one kansei value, kawaii, which is a positive adjective that denotes such positive connotations as cute, lovable, and charming, is becoming more important. Our research systematically ...

A multimodal system with real-time feedback for public speaking has been developed. The system has been developed within the paradigm of positive computing which focuses on designing for user wellbeing. To date we have focused on the following ...

Content authoring of verbal and nonverbal behavior is a limiting factor when developing agents for repeated social interactions with the same user. We present PIP, an agent that crowdsources its own multimodal language behavior using a method we call ...

Orbits combines a visual display and an eye motion sensor to allow a user to select between options by tracking a cursor with the eyes as the cursor travels in a circular path around each option. Using an off-the-shelf Jins MEME pair of eyeglasses, we ...

Human and robot tutors alike have to give careful consideration as to how feedback is delivered to students to provide a motivating yet clear learning context. Here, we performed a perception study to investigate attitudes towards negative and positive ...