Affective Stack — A Model for Affective Computing Application Development

Abstract

Affective computing applications hold promise to revolutionize human-computer interaction by enabling more natural and intuitive interaction modalities. These may include the communication of vocal expressions, physiological signals or other non-verbal indicators of underlying affective state. Although the field has experienced substantial expansion in recent years, the tools and techniques utilized are not yet mature or well established. A notable issue is the one-off nature of currently implemented affective computing systems. There is as yet no notion of standardized program architecture and there is no straightforward way to extend the functionality of existing software to include affective components. This paper introduces a new model which describes the affective computing application in terms of a set of loosely coupled functional components. This model encourages a uniform and replicable approach to affective application development in which functional components can be improved independently and subsequently re-used. The model also incorporates existing third party software as a functional component highlighting the potential to build upon existing, well established, software packages. It is hoped that this model and discussion spurs further, focused development in this growing field.

Affective computing study of attention recognition for the 3D guide system

“…The system developed by this research combines affective computing model (see Fig. 4) based on the kinds of literature [15–26] suggested the affective stack model, its computing relationship between schemas is shown in Fig. 4.…”

“…However, so far, although there are more and more different academics in the field of affective computing technology, most of them are more divergent, no standard procedural framework exists. In recent days, Thompson and McGill [22] academics raised the affective push iterative operations into the standardised procedures for the concept schema model as shown in Fig. 2.…”

“…This model uses the modular way, an affective computing addition extends the functionality of existing systems, software and platform use emotion into such a manner so‐called ‘Affective Platform’ as well as the emotional response decision so‐called ‘Rule Set’ contained in a separated stack emotion so‐called ‘Affective Stack’ framework, which allows the existence of third‐party software. In this research, the construction of affective computing infrastructure model is based on affective stack model according to Thompson and McGill [22] suggestion.…”

Application of an Ontology-Based Platform for Developing Affective Interaction Systems

“…As can be seen, there are several models that represent human emotions taking one or more context elements into account [25]. Moreover, systems that recognize and generate emotions through different modalities can also be found [26]- [30]. Few of them are systems or platforms that gather the knowledge for more than one modality and various elements of the context and that also use this knowledge to provide support to the generation of affective resources, which is the idea of the proposed platform.…”

The 3d school guide system with affective computing of posture emotion expression

“…If we want the computer to become smart, then we have to let the computer has emotions as well as has the ability to identify emotions and is able to feedback something. Therefore, in order for human-computer interaction (HCI) mechanisms can be more human and more natural interaction, [17][18][19][20] the emotion is used as a key factor in human-computer interaction in recent years, and trying to combine affective computing in a wide range of applied researches have been more and more increased. 21,22 Currently, many the combined emotional operation related researches use human face mood of features identification, or in accordance with physiological identification to give appropriate feedback.…”