Empatica is an affective computing company, focused on human data analytics. We develop groundbreaking wearable devices with medical quality sensing.-
" Skin conductance response in regular subjects differs when given fair and unfair offers, respectively. However, psychopaths have been shown to have no difference in skin conductance between fair and unfair offers.[2]
This may indicate that the use of lie detectors relying on skin
conductivity gives psychopaths an advantage that non-psychopaths do not
have in criminal investigations.-"
"Whether scientific method is at all suited for the study of the
subjective aspect of emotion, feelings, is a question for philosophy of
science and epistemology. In practise, the use of self-report (i.e.
questionnaires) has been widely adopted by researchers. Additionally,
web-based research is being used to conduct large-scale studies on the
components of happiness for example. Alongside this researchers also use
fMRI, EEG and physiological measures of skin conductance, muscle
tension and hormone secretion. This hybrid approach should allow
researchers to gradually pinpoint the affective phenomenon. There are
also a few commercial systems available that claim to measure emotions,
for instance using automated video analysis (nViso) or skin conductance
(Affectiva).Affective Science -"
" Founded in 2011, Nymi is a spinoff from the University of Toronto,
focused on delivering unique and usable
digital identity solutions. The company's first product is the
Nymi Band, a wearable technology device that delivers Persistent
Identity
experiences by using the wearer's unique electric cardiac
signature as a biometric. Nymi is proudly based in Toronto and is
privately-funded
by Ignition Partners, Relay Ventures, MasterCard and Salesforce
Ventures. http://www.nymi.com/news/now-nymi/"
"Affective
computing is the study and development of systems and devices that can
recognize, interpret, process, and simulate human affects. It is an
interdisciplinary field spanning computer science, psychology, and
cognitive science.[1] While the origins of the field may be traced as
far back as to early philosophical enquiries into emotion,[2] the more
modern branch of computer science originated with Rosalind Picard's 1995
paper[3] on affective computing.[4][5] A motivation for the research is
the ability to simulate empathy. The machine should interpret the
emotional state of humans and adapt its behaviour to them, giving an
appropriate response for those emotions.Affective Computing -"
The advances made and put forth here paint a different picture then the
one assumed here in regard to the development of emotions that work
toward identifying innate characteristics of the person? As well, as
factors that are now discernible physiologically with regard to the
economics of barter and trade. This observation goes back to principle
inherent in wireless communication(as fractal antennas) and the work of
Benoit Mandelbrot who brought forward through recognition, its
utilization of fractals and development by Seth Cohen.
***
" In view of the proliferation of increasingly fruitful exchanges between
researchers of different stripes, it is no longer useful to speak of the
philosophy of emotion in isolation from the approaches of other
disciplines, particularly psychology, neurology, evolutionary biology,
and even economics.
Twentieth-century Anglo-American philosophy and psychology tended to
incorporate emotions into other, better understood mental categories.
Under the influence of a “tough-minded” ideology committed to
behaviorism, it seemed easier to look for adequate theories of action or
will, as well as theories of belief or knowledge, than to construct
adequate theories of emotion. Economic models of rational decision and
agency inspired by Bayesian theory are essentially assimilative models,
viewing emotion either as a species of belief, or as a species of
desire.
That enviably resilient Bayesian model has been cracked, in the eyes of
many philosophers, by such refractory phenomena as akrasia or “weakness
of will.” In cases of akrasia, traditional descriptive rationality seems
to be violated, insofar as the “strongest” desire does not win, even
when paired with the appropriate belief (Davidson 1980). Emotion is
ready to pick up the slack. Recent work, often drawing support from the
burgeoning study of the emotional brain, has recognised that while
emotions typically involve both cognitive and conative states, they are
distinct from both, if only in being significantly more complex. Emotion- de Sousa, Ronald, "Emotion", The Stanford Encyclopedia of Philosophy (Spring 2014 Edition), Edward N. Zalta (ed.)"
"The subjective theory of value is a theory of value which advances
the idea that the value of a good is not determined by any inherent
property of the good, nor by the amount of labor required to produce the
good, but instead value is determined by the importance an acting
individual places on a good for the achievement of their desired ends-
In the philosophy of decision theory, Bayesian inference is closely
related to discussions of subjective probability, often called "Bayesian
probability". Bayesian probability provides a rational method for
updating beliefs.
Bayesian epistemology is an epistemological movement that uses
techniques of Bayesian inference as a means of justifying the rules of
inductive logic.Bayesian Inference"
"Decision theory in economics, psychology, philosophy, mathematics,
and statistics is concerned with identifying the values, uncertainties
and other issues relevant in a given decision, its rationality, and the
resulting optimal decision. It is closely related to the field of game
theory as to interactions of agents with at least partially conflicting
interests whose decisions affect each other. Decision Theory -"
"In economics, the social science that studies the production,
distribution, and consumption of goods and services, emotions are
analyzed in some sub-fields of microeconomics, in order to assess the
role of emotions on purchase decision-making and risk perception Disciplinary approaches -"
"Broadly speaking, there are two views on Bayesian probability that
interpret the 'probability' concept in different ways. For objectivists,
probability objectively measures the plausibility of propositions, i.e.
the probability of a proposition corresponds to a reasonable belief
everyone (even a "robot") sharing the same knowledge should share in
accordance with the rules of Bayesian statistics, which can be justified
by requirements of rationality and consistency.[2][5] Requirements of
rationality and consistency are also important for subjectivists, for
which the probability corresponds to a 'personal belief'.[6] For
subjectivists however, rationality and consistency constrain the
probabilities a subject may have, but allow for substantial variation
within those constraints. The objective and subjective variants of
Bayesian probability differ mainly in their interpretation and
construction of the prior probability.Objective and subjective Bayesian probabilities -"
***
"Contemporary
analytic philosophers of mind generally use the term “belief” to refer
to the attitude we have, roughly, whenever we take something to be the
case or regard it as true. To believe something, in this sense, needn't
involve actively reflecting on it: Of the vast number of things ordinary
adults believe, only a few can be at the fore of the mind at any single
time. Nor does the term “belief”, in standard philosophical usage,
imply any uncertainty or any extended reflection about the matter in
question (as it sometimes does in ordinary English usage). Many of the
things we believe, in the relevant sense, are quite mundane: that we
have heads, that it's the 21st century, that a coffee mug is on the
desk. Forming beliefs is thus one of the most basic and important
features of the mind, and the concept of belief plays a crucial role in
both philosophy of mind and epistemology.Belief -"
Forming beliefs is thus one of the most basic and important features
of the mind, and the concept of belief plays a crucial role in both
philosophy of mind and epistemology. The “mind-body problem”, for
example, so central to philosophy of mind, is in part the question of
whether and how a purely physical organism can have beliefs. Much of
epistemology revolves around questions about when and how our beliefs
are justified or qualify as knowledge. Belief -
Nevertheless, many contemporary philosophers of science and analytic
philosophers are strongly critical of Popper's philosophy of
science.[14] Popper's mistrust of inductive reasoning has led to claims
that he misrepresents scientific practice. Among the professional
philosophers of science, the Popperian view has never been seriously
preferred to probabilistic induction, which is the mainstream account of
scientific reasoning.Falsifiability -
See also: The Logic of Scientific Discovery (PDF) |