Affect-Sensitive Computer Systems

Author(s):  
Nik Thompson ◽  
Tanya McGill ◽  
David Murray

Affective computing is the broad domain encompassing all of the hardware, software and underlying theoretical models underpinning the development of affect sensitive computer systems. Such systems facilitate more intuitive, natural computer interfaces by enabling the communication of the user's emotional state. Despite rapid growth in recent years, affective computing is still an under-explored field, which holds promise to be a valuable direction for future software development. Human-computer interaction has traditionally been dominated by the information processing metaphor and as a result, interaction between the computer and the user is generally unidirectional and asymmetric. The next generation of computer interfaces aim to address this gap in communication and create interaction environments that support the motivational and affective goals of the user.

Author(s):  
Nik Thompson ◽  
Tanya McGill ◽  
David Murray

Affective computing is the broad domain encompassing all of the hardware, software, and underlying theoretical models underpinning the development of affect sensitive computer systems. Such systems facilitate more intuitive, natural computer interfaces by enabling the communication of the user's emotional state. Despite rapid growth in recent years, affective computing is still an underexplored field, which holds promise to be a valuable direction for future software development. Human-computer interaction has traditionally been dominated by the information processing metaphor, and as a result, interaction between the computer and the user is generally unidirectional and asymmetric. The next generation of computer interfaces aim to address this gap in communication and create interaction environments that support the motivational and affective goals of the user.


Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2620
Author(s):  
Jesús Leonardo López-Hernández ◽  
Israel González-Carrasco ◽  
José Luis López-Cuadrado ◽  
Belén Ruiz-Mezcua

A brain–computer interface is an alternative for communication between people and computers, through the acquisition and analysis of brain signals. Research related to this field has focused on serving people with different types of motor, visual or auditory disabilities. On the other hand, affective computing studies and extracts information about the emotional state of a person in certain situations, an important aspect for the interaction between people and the computer. In particular, this manuscript considers people with visual disabilities and their need for personalized systems that prioritize their disability and the degree that affects them. In this article, a review of the state of the techniques is presented, where the importance of the study of the emotions of people with visual disabilities, and the possibility of representing those emotions through a brain–computer interface and affective computing, are discussed. Finally, the authors propose a framework to study and evaluate the possibility of representing and interpreting the emotions of people with visual disabilities for improving their experience with the use of technology and their integration into today’s society.


1991 ◽  
Vol 20 (354) ◽  
Author(s):  
Jonathan Grudin ◽  
Donald A. Norman

Many of the issues that confront designers of interactive computer systems also appear in natural language evolution. Natural languages and human-computer interfaces share as their primary mission the support of extended ''dialogues'' between responsive entities. Because in each case one participant is a human being, some of the pressures operating on natural languages, causing them to evolve in order to better support such dialogue, also operate on human-computer ''languages'' or interfaces. This does not necessarily push interfaces in the direction of natural language - since one entity in this dialogue is not a human, this is not to be expected. Nonetheless, by discerning where the pressures that guide natural language evolution also appear in human-computer interaction, we can contribute to the design of computer systems and obtain a new perspective on natural languages.


2015 ◽  
Vol 9 (3-4) ◽  
pp. 263 ◽  
Author(s):  
J. Harry Whalley ◽  
Panagiotis Mavros ◽  
Peter Furniss

This paper will explore questions of agency, control and interaction and the embodied nature of musical performance in relation to the use of human-computer interaction (HCI), through the experimental work <em>Clasp Together (beta)</em> [1] for small ensemble and live electronics by J. Harry Whalley. This practice-led research is situated at the intersection of music neurotechnology for sound synthesis and brain-computer interfaces (BCI, a subdomain of HCI), and explores the use of neural patterns from Electroencephalography (EEG) as a control instrument. The composition departed from the traditional composer/performer paradigm by using both non-instrumental physical gestures and cognitive or emotive instructions integrated into the score.


2004 ◽  
Vol 20 (3) ◽  
pp. 281-288 ◽  
Author(s):  
Beatriz Mariz Maia de Paiva ◽  
Susan H. Foster-Cohen

This article explores a number of points at which Relevance Theory makes a useful contribution to second language theoretical models, specifically those of Bialystok and Schmidt and their respective notions of ‘analysis’, ‘control’ and ‘noticing’.It is suggested that the inferential mechanisms of Relevance Theory can account for the contingencies of communicative interaction without which pragmatic negotiations do not make sense, and thus can complement such information-processing accounts through the notions of ‘manifestness’ and the balance between ‘effort’ and ‘effect’.Further research is called for into the integration of information-processing concepts and Relevance Theoretical insights as part of a complex theoretical architecture capable of capturing the rich diversity of pragmatic development in second language acquisition.


Author(s):  
Lesley Axelrod ◽  
Kate Hone

In a culture which places increasing emphasis on happiness and wellbeing, multimedia technologies include emotional design to improve commercial edge. This chapter explores affective computing and illustrates how innovative technologies are capable of emotional recognition and display. Research in this domain has emphasised solving the technical difficulties involved, through the design of ever more complex recognition algorithms. But fundamental questions about the use of such technology remain neglected. Can it really improve human-computer interaction? For which types of application is it suitable? How is it best implemented? What ethical considerations are there? We review this field and discuss the need for user-centred design. We describe and give evidence from a study that explores some of the user issues in affective computing.


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