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Using brain imaging to measure emotional response to product appearance

Motte, Damien LU (2009) 4th International Conference on Designing Pleasurable Products and Interfaces - DPPI'09 In Proceedings of the 4th International Conference on Designing Pleasurable Products and Interfaces - DPPI'09 p.187-198
Abstract
Brain imaging systems are a set of techniques that allow visualizing the regions of the brain that are activated when (emotional) stimuli are presented. Their advantage over traditional methods of measuring emotion, like self-reports is that they leave out response biases. This paper presents what brain imaging measurement can do for emotional design. It also reviews the brain imaging studies that have been performed in the field of emotional design. Very few such studies were found, and they were dispersed among different disciplines: design, marketing, advertising, human-computer interaction. One of the results of that investigation is that the complexity of brain imaging systems and of designing adequate experimental setups imply that... (More)
Brain imaging systems are a set of techniques that allow visualizing the regions of the brain that are activated when (emotional) stimuli are presented. Their advantage over traditional methods of measuring emotion, like self-reports is that they leave out response biases. This paper presents what brain imaging measurement can do for emotional design. It also reviews the brain imaging studies that have been performed in the field of emotional design. Very few such studies were found, and they were dispersed among different disciplines: design, marketing, advertising, human-computer interaction. One of the results of that investigation is that the complexity of brain imaging systems and of designing adequate experimental setups imply that brain imaging be reserved for some very specific purposes, like obtaining the very first impression of a product design. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
machine design, physiological measurement, brain imaging, emotional design, emotion measurement, maskinkonstruktion
in
Proceedings of the 4th International Conference on Designing Pleasurable Products and Interfaces - DPPI'09
editor
Guéand, Anne
pages
12 pages
publisher
Université de Technologie de Compiègne (UTC)
conference name
4th International Conference on Designing Pleasurable Products and Interfaces - DPPI'09
language
English
LU publication?
yes
id
0b72fa5f-1a63-4110-95a2-01542611b8fd (old id 1789828)
date added to LUP
2011-03-01 14:16:39
date last changed
2016-08-16 10:51:41
@misc{0b72fa5f-1a63-4110-95a2-01542611b8fd,
  abstract     = {Brain imaging systems are a set of techniques that allow visualizing the regions of the brain that are activated when (emotional) stimuli are presented. Their advantage over traditional methods of measuring emotion, like self-reports is that they leave out response biases. This paper presents what brain imaging measurement can do for emotional design. It also reviews the brain imaging studies that have been performed in the field of emotional design. Very few such studies were found, and they were dispersed among different disciplines: design, marketing, advertising, human-computer interaction. One of the results of that investigation is that the complexity of brain imaging systems and of designing adequate experimental setups imply that brain imaging be reserved for some very specific purposes, like obtaining the very first impression of a product design.},
  author       = {Motte, Damien},
  editor       = {Guéand, Anne},
  keyword      = {machine design,physiological measurement,brain imaging,emotional design,emotion measurement,maskinkonstruktion},
  language     = {eng},
  pages        = {187--198},
  publisher    = {ARRAY(0x8c74338)},
  series       = {Proceedings of the 4th International Conference on Designing Pleasurable Products and Interfaces - DPPI'09},
  title        = {Using brain imaging to measure emotional response to product appearance},
  year         = {2009},
}