One's own soundtrack: Affective music synthesis

Computer music usually sounds mechanical; hence, if musicality and music expression of virtual actors could be enhanced according to the user's mood, the quality of experience would be amplified. We present a solution that is based on improvisation using cognitive models, case based reasoning (CBR) and fuzzy values acting on close-to-affect-target musical notes as retrieved from CBR per context. It modifies music pieces according to the interpretation of the user's emotive state as computed by the emotive input acquisition componential of the CALLAS framework. The CALLAS framework incorporates the Pleasure-Arousal- Dominance (PAD) model that reflects emotive state of the user and represents the criteria for the music affectivisation process. Using combinations of positive and negative states for affective dynamics, the octants of temperament space as specified by this model are stored as base reference emotive states in the case repository, each case including a configurable mapping of affectivisation parameters. Suitable previous cases are selected and retrieved by the CBR subsystem to compute solutions for new cases, affect values from which control the music synthesis process allowing for a level of interactivity that makes way for an interesting environment to experiment and learn about expression in music

Christian Rational Emotive Behavior Therapy

Albert Ellis was the creator of rational emotive behavior therapy (REBT). Although Ellis opposed organized religion and religious beliefs for most of his life, this type of therapy can be adapted for use with many religious groups, including Christians. This paper will discuss biblical support for REBT as well as incongruences of Christian tenants and REBT. Christian REBT (CREBT) will be explored, including the therapeutic techniques that can be used. The efficacy of CREBT will be covered. Since there is a paucity of randomized clinical trials examining CREBT, Christian cognitive behavioral therapy (CBT) will also be discussed. This paper will give recommendations for future research on CREBT and other types of Christian-accommodative psychotherapy. Last, a reflection is included about CREBT and Christian faith. This illustrates conflict between these areas, how CREBT and empirical support for it can contribute to Christian counseling, and how it is currently relevant to Christian churches

Student-led Online Debate, using Work Groups (myBU).

Using User Groups and Discussion Boards for fully-online mature students to debate emotive subject of Globalisation

A fuzzy-based approach for classifying students' emotional states in online collaborative work

(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.Emotion awareness is becoming a key aspect in collaborative work at academia, enterprises and organizations that use collaborative group work in their activity. Due to pervasiveness of ICT's, most of collaboration can be performed through communication media channels such as discussion forums, social networks, etc. The emotive state of the users while they carry out their activity such as collaborative learning at Universities or project work at enterprises and organizations influences very much their performance and can actually determine the final learning or project outcome. Therefore, monitoring the users' emotive states and using that information for providing feedback and scaffolding is crucial. To this end, automated analysis over data collected from communication channels is a useful source. In this paper, we propose an approach to process such collected data in order to classify and assess emotional states of involved users and provide them feedback accordingly to their emotive states. In order to achieve this, a fuzzy approach is used to build the emotive classification system, which is fed with data from ANEW dictionary, whose words are bound to emotional weights and these, in turn, are used to map Fuzzy sets in our proposal. The proposed fuzzy-based system has been evaluated using real data from collaborative learning courses in an academic context.Peer ReviewedPostprint (author's final draft

The Earlier Wittgenstein on the Notion of Religious Attitude

I defend a new interpretation of Wittgenstein's notion of religious (or ethical) attitude in the Tractatus, one that rejects three key views from the secondary literature: firstly, the view that, for Wittgenstein, the willing subject is a transcendental condition for the religious attitude; secondly, the view that the religious attitude is an emotive response to the world or something closely modelled on this notion of emotive response; and thirdly, the view that, although the religious and ethical pseudo-propositions of the Tractatus are nonsensical, they nevertheless succeed in expressing the religious attitude endorsed by Wittgenstein. In connection to the first, I argue that the notion of willing subject as transcendental condition is abandoned by Wittgenstein in the Notebooks and is no longer a feature of his position in the Tractatus. In connection to the second, I argue that the religious attitude is dispositional rather than emotive for Wittgenstein: it is a disposition to use signs in a way that demonstrates one's conceptual clarity. Finally, in connection to the third, I argue that the religious or ethical attitude is strongly ineffable in that it cannot be described, expressed or conveyed by language at all.Peer reviewe

Emotive computing may have a role in telecare

This brief paper sets out arguments for the introduction of new technologies into telecare and lifestyle monitoring that can detect and monitor the emotive state of patients. The significantly increased use of computers by older people will enable the elements of emotive computing to be integrated with features such as keyboards and webcams, to provide additional information on emotional state. When this is combined with other data, there will be significant opportunities for system enhancement and the identification of changes in user status, and hence of need. The ubiquity of home computing makes the keyboard a very attractive, economic and non-intrusive means of data collection and analysis

Linking recorded data with emotive and adaptive computing in an eHealth environment

Telecare, and particularly lifestyle monitoring, currently relies on the ability to detect and respond to changes in individual behaviour using data derived from sensors around the home. This means that a significant aspect of behaviour, that of an individuals emotional state, is not accounted for in reaching a conclusion as to the form of response required. The linked concepts of emotive and adaptive computing offer an opportunity to include information about emotional state and the paper considers how current developments in this area have the potential to be integrated within telecare and other areas of eHealth. In doing so, it looks at the development of and current state of the art of both emotive and adaptive computing, including its conceptual background, and places them into an overall eHealth context for application and development