Our memories reflect our life stories. Memory files contain not only data or information about an event but the emotions that we experience at the time when the event occurs. This research focuses on storing, organising and retrieving memories, both semantic and emotional for storytelling in a Mobile Personal Memory Assistant application. It is inspired by work in Psychology, Brain Research, Pe...

The Emergent Affective and Personality model is a bodymind model of emotions for a mobile tour guide agent. This research is inspired by work in Psychology, Brain Research, Personality, Narrative, Mobile Computing and Artificial Intelligence. The main goal is to build an ‘intelligent guide with attitude’. This paper presents a review of related work, the affective model and the future work to b...

Michael Dyer Artificial Intelligence Lab Computer Science Department UCLA Abst rac t This paper diacusses a method for learning thematic level structures, i.e. abstract plan/goal combinations, by observing the bad planning behavior of narrative characters. The learning method discussed is a one-trial, schema acquisition method, which is similar to DeJong's [DeJong, 1983]. The method uses constr...

A narrative world can be viewed as a form of society in which characters follow a set of social norms whose collective function is to guide the characters through (the creation of) a story arc and reach some conclusion. By modelling the rules of a narrative using norms, we can govern the actions of agents that act out the characters in a story. Agents are given sets of permitted actions and obl...

The aim of this study was to investigate the role of linguistic and intelligence factors in the Iranian IELTS candidates’ speaking performance. Linguistic factors include depth and breadth of vocabulary knowledge as well as grammar knowledge. Narrative and verbal intelligences represent the non-linguistic factors. The participants included 329 learners who took 5 validated tests and also partic...

Terminal Time is a history "engine:" a machine which combines historical events, ideological rhetoric, familiar forms of TV documentary, consumer polls and artificial intelligence algorithms to create hybrid cinematic experiences for mass audiences that are different every time. Through an audience response measuring device connected to a computer, viewing audiences respond to periodic question...

Empirical research supporting computational models of narrative is often constrained by the lack of large-scale corpora with deep annotation. In this paper, we report on our annotation and analysis of a dataset of 283 individual narrations of the events in two short video clips. The utterances in the narrative transcripts were annotated to align with known events in the source videos, offering ...

BACKGROUND Children with pragmatic language impairment (PLI) show impairments in the use of language in social contexts. Although the issue has been gaining attention in recent literature, not much is known about the developmental trajectories of children who experience pragmatic language problems. Since narrative competence is an important predictor of both academic and social success, evaluat...