The ability of children to generalize over the linguistic input they receive is key to acquiring productive knowledge of verbs. Such generalizations help children extend their learned knowledge of constructions to a novel verb, and use it appropriately in syntactic patterns previously unobserved for that verb—a key factor in language productivity. Computational models can help shed light on the...

People often hold their hands near their faces as a gesture in natural conversation, which can interfere with affective inference from facial expressions. However, these gestures are valuable as an additional channel for multi-modal inference. We analyse hand-over-face gestures in a corpus of naturalistic labelled expressions and propose the use of those gestures as a novel affect cue for autom...

This paper investigates how an intelligent agent could be designed to both predict whether it is bonding with its user, and convey appropriate facial expression and body language responses to foster bonding. Video and Kinect recordings are collected from a series of naturalistic conversations, and a reliable measure of bonding is adapted and verified. A qualitative and quantitative analysis is ...

John Dilworth, draft only, 7/04 The Reflexive Theory of Perception (RTP) claims that perception of an object X by an organism Z consists in Z being caused by X to acquire some disposition D toward X itself. This novel, purely naturalistic perceptual theory explains perceptual intentionality, correct versus incorrect perception and externalist content in a plausible evolutionary framework. The t...

We present a novel method for predictive modeling of human brain states from functional neuroimaging (fMRI) data. Extending the traditional canonical correlation analysis of discrete data to the domain of stochastic functional measurements, the method explores the functional canonical correlation between stimuli and fMRI training data. Via an incrementally steered pattern searching technique, s...

This study introduces a neural network that models the social interactions from a video corpus. The corpus consists of recordings of naturalistic observations of social interactions among children and their environment. The videos are annotated multimodally including features like gestures. We explore how this video corpus can be utilized for modelling by training our model on a portion of the ...

BACKGROUND Antipsychotic-induced weight gain occurs in a substantial percentage of treated persons. There remains a paucity of naturalistic data that describe relative weight-gain liability with the available novel atypical antipsychotics (NAPs). This investigation describes comparative NAP-induced weight gain in a prospective naturalistic cohort of persons with schizophrenia and related psycho...

In human social systems, roles are a key mechanism for social interaction and integration. In particular, they are instrumental in allowing humans to operate in a variety of different social contexts. This article surveys the sociological understanding of roles, their use by software agents, and the nascent literature of role-based robotics. The survey suggests that robots can use social roles ...

Rapidly detecting target object categories when objects are embedded in naturalistic scenes is facilitated by preparatory baseline signal changes. However, it is unclear as to what information most strongly predicts perceptual speed in terms of the minimal exposure duration required for accurate detection. Using novel surface-based spatiotemporal pattern classification, we found that while cate...

Sharing photos through mobile devices has a great potential for creating shared experiences of social events between co-located as well as remote participants. In order to design novel event sharing tools, we need to develop indepth understanding of current practices surrounding these so called ‘event photos’photos about and taken during different social events such as weddings picnics, and mus...