Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

Deposits of clastic carbonate-dominated (calciclastic) sedimentary slope systems in the rock record have been identified mostly as linearly-consistent carbonate apron deposits, even though most ancient clastic carbonate slope deposits fit the submarine fan systems better. Calciclastic submarine fans are consequently rarely described and are poorly understood. Subsequently, very little is known especially in mud-dominated calciclastic submarine fan systems. Presented in this study are a sedimentological core and petrographic characterisation of samples from eleven boreholes from the Lower Carboniferous of Bowland Basin (Northwest England) that reveals a >250 m thick calciturbidite complex deposited in a calciclastic submarine fan setting. Seven facies are recognised from core and thin section characterisation and are grouped into three carbonate turbidite sequences. They include: 1) Calciturbidites, comprising mostly of highto low-density, wavy-laminated bioclast-rich facies; 2) low-density densite mudstones which are characterised by planar laminated and unlaminated muddominated facies; and 3) Calcidebrites which are muddy or hyper-concentrated debrisflow deposits occurring as poorly-sorted, chaotic, mud-supported floatstones. These

Phd by thesis

Data Mining Practical Machine Learning Tools and Techniques

The power of feedback.

Emotion and Adaptation

The concept of character believability is often used in interactive narrative research hypothesis. In this paper we define believability metrics using perceived believability dimensions and discuss how they can be accessed. The proposed dimensions are: behavior coherence, change with experience, awareness, behavior understandability, personality, visual impact, predictability, social and emotional expressiveness.

https://games.soe.ucsc.edu/sites/default/files/Gomes%20et%20al%20Metrics%20for%20Character%20Believability%20in%20Interactive%20Narrative.pdf

Metrics for Character Believability in Interactive Narrative

https://gaips.inesc-id.pt/component/gaips/publications/showPublicationPdf?pid=262&format=raw

Serious Games for Personal and Social Learning & Ethics: Status and Trends☆

In this paper we will discuss different types of control over synthetic characters in interactive stories. We will argue that, to attain a deeper and more engaging control, in certain conditions, users should be able to inspect, disclose, and modify the characters minds. To illustrate this idea, we will present a collaborative virtual environment called {\it Teatrix}, designed for children to build their own stories - fairy tales. In {\it Teatrix}, virtual actors play roles (such as: villain, hero, etc.) and may be controlled either by children or by the system. {\it Teatrix} allows children to go into the minds of the characters through a special tool named {\it “Hot Seating”}. {\it Teatrix} is already in use by children ages between 7 and 9 in the context of a Computer integrated Classroom (CiC) scenario installed in a school. The initial evaluations show that the use of the “Hot Seatin” tool is a fundamental element for children to feel in control of their characters and thus stay in character for their virtual performances.

Is the wolf angry or... just hungry

This paper explores the role of prosocial behaviour when people team up with robots in a collaborative game that presents a social dilemma similar to a public goods game. An experiment was conducted with the proposed game in which each participant joined a team with a prosocial robot and a selfish robot. During 5 rounds of the game, each player chooses between contributing to the team goal (cooperate) or contributing to his individual goal (defect). The prosociality level of the robots only affects their strategies to play the game, as one always cooperates and the other always defects. We conducted a user study at the office of a large corporation with 70 participants where we manipulated the game result (winning or losing) in a between-subjects design. Results revealed two important considerations: (1) the prosocial robot was rated more positively in terms of its social attributes than the selfish robot, regardless of the game result; (2) the perception of competence, the responsibility attribution (blame/credit), and the preference for a future partner revealed significant differences only in the losing condition. These results yield important concerns for the creation of robotic partners, the understanding of group dynamics and, from a more general perspective, the promotion of a prosocial society.

Exploring prosociality in human-robot teams

According to the United Nations World Population Prospects, the world’s population is aging. Older adults constitute a fragile part of society, as aging is always accompanied by major psychological and physical challenges. A way to cope with those challenges is to strive for a good Quality of Life (QoL) and contribute to successful aging. Social robots can play an important role in the promotion of QoL by integrating activities with independent-living older adults. Using a qualitative design through a focus group method, this paper aims to present the activities in which independent-living older adults, i.e., older adults that do not depend upon anyone to carry out their activities, require a robot. By understanding the activities where robots can positively influence and contribute to older adults’ QoL, we set specific goals for the future research in the field of Human-Robot Interaction (HRI).

Ana Paiva

Papers

Metrics for Character Believability in Interactive Narrative

Serious Games for Personal and Social Learning & Ethics: Status and Trends☆

Is the wolf angry or... just hungry

Exploring prosociality in human-robot teams

Social Robots for Older Adults: Framework of Activities for Aging in Place with Robots