Pro-active Meeting Assistants : Attention Please!

This paper gives an overview of pro-active meeting assistants, what they are and when they can be useful. We explain how to develop such assistants with respect to requirement definitions and elaborate on a set of Wizard of Oz experiments, aiming to find out in which form a meeting assistant should operate to be accepted by participants and whether the meeting effectiveness and efficiency can be improved by an assistant at all

Pro-active Meeting Assistants: Attention Please!

This paper gives an overview of pro-active meeting assistants, what they are and when they can be useful. We explain how to develop such assistants with respect to requirement definitions and elaborate on a set of Wizard of Oz experiments, aiming to find out in which form a meeting assistant should operate to be accepted by participants and whether the meeting effectiveness and efficiency can be improved by an assistant at all. This paper gives an overview of pro-active meeting assistants, what they are and when they can be useful. We explain how to develop such assistants with respect to requirement definitions and elaborate on a set of Wizard of Oz experiments, aiming to find out in which form a meeting assistant should operate to be accepted by participants and whether the meeting effectiveness and efficiency can be improved by an assistant at all

Detecting Low Rapport During Natural Interactions in Small Groups from Non-Verbal Behaviour

Rapport, the close and harmonious relationship in which interaction partners are "in sync" with each other, was shown to result in smoother social interactions, improved collaboration, and improved interpersonal outcomes. In this work, we are first to investigate automatic prediction of low rapport during natural interactions within small groups. This task is challenging given that rapport only manifests in subtle non-verbal signals that are, in addition, subject to influences of group dynamics as well as inter-personal idiosyncrasies. We record videos of unscripted discussions of three to four people using a multi-view camera system and microphones. We analyse a rich set of non-verbal signals for rapport detection, namely facial expressions, hand motion, gaze, speaker turns, and speech prosody. Using facial features, we can detect low rapport with an average precision of 0.7 (chance level at 0.25), while incorporating prior knowledge of participants' personalities can even achieve early prediction without a drop in performance. We further provide a detailed analysis of different feature sets and the amount of information contained in different temporal segments of the interactions.Comment: 12 pages, 6 figure

That sh*t is rude! Religion, Picture Books, and Social Narratives in Middle School

While the U.S. has a divisive history around the separation of church and state in public school, current national and state teaching standards do include curricular objectives related to the study of religion. This paper focuses on the ways a diverse group of sixth-grade public schoolchildren engaged with religious content in their English Language Arts class. Specifically, it examines the kinds of narratives the children constructed in response to diverse works of public art and children’s picturebooks, including Mora’s (2012) The Beautiful Lady: Our Lady of Guadalupe / La hermosa señora: Nuestra Señora de Guadalupe (Señora), and Garza’s (1996) In My Family. The children’s responses disrupt us/Other social narratives and demonstrate the importance of religious literacy in the space of public schools. They push against the notion that acknowledging religious perspectives that are not part of mainstream culture could be offensive to some children. This study reinforces that the interdisciplinary inclusion of religious content in public school not only supports state and national teaching standards, but also opens a space for children to understand the pluralistic society in which they live