We present MoodSwipe, a soft keyboard that suggests text messages given the userspecified emotions utilizing the real dialog data. The aim of MoodSwipe is to create a convenient user interface to enjoy the technology of emotion classification and text suggestion, and at the same time to collect labeled data automatically for developing more advanced technologies. While users select the MoodSwip...

This paper describes a research project that aims to increase our understanding of shoppers’ emotions during online shopping episodes. The research project centers on the presentation of a new research model, considered as an expansion of the model presented in Éthier et al.’s (2008) empirical study on the impact of interface design on emotions experienced on B2C Web sites. The model focuses on...

Detecting emotions in microblogs and social media posts has applications for industry, health, and security. However, there exists no microblog corpus with instances labeled for emotions for developing supervised systems. In this paper, we describe how we created such a corpus from Twitter posts using emotionword hashtags. We conduct experiments to show that the self-labeled hashtag annotations...

Recent studies have demonstrated gender and cultural differences in the recognition of emotions in facial expressions. However, most studies were conducted on American subjects. In this paper, we explore the generalizability of several findings to a non-American culture in the form of Danish subjects. We conduct an emotion recognition task followed by two stereotype questionnaires with differen...

Antisocial individuals have problems recognizing negative emotions (e.g. Marsh & Blair in Neuroscience and Biobehavioral Reviews 32:454-465, 2009); however, due to issues with sampling and different methods used, previous findings have been varied. Sixty-three male young offenders and 37 age-, IQ- and socio-economic status-matched male controls completed a facial emotion recognition task, which...

We present MoodSwipe, a soft keyboard that suggests text messages given the userspecified emotions utilizing the real dialog data. The aim of MoodSwipe is to create a convenient user interface to enjoy the technology of emotion classification and text suggestion, and at the same time to collect labeled data automatically for developing more advanced technologies. While users select the MoodSwip...

OBJECTIVES To assess the feasibility and acceptability of a mindfulness-based stress reduction (MBSR)-based intervention and determine if the intervention is associated with a significant signal on empathy and emotional competencies. DESIGN Two pre-post proof-of-concept studies. SETTING Participants were recruited at the University of Montreal's Psychology Department (Study 1) and the CHU S...

Nowadays, more and more artificial agents integrate emotional abilities, for different purposes: expressivity, adaptability, believability... Designers mainly use Ortony et al.’s typology of emotions, that provides a formalization of twenty-two emotions based on psychological theories. But most of them restrain their agents to a few emotions among these twenty-two ones, and are more or less fai...