The Virtual Bookcase Reviews of 'Affective Computing':
Reviewer amazon.com wrote:As a scientist who works in computer development, Rosalind Picard is accustomed to working with what is rational and logical. But in her research on how to enable computers to better perceive the world, she discovered something surprising: In the human brain, a critical part of our ability to see and perceive is not logical, but emotional. Therefore, for computers to have some of the advanced abilities we desire, it may be necessary that they comprehend and, in some cases, feel emotions. Affective Computing isn't about making PCs that get grumpy when you enter repeated errors or that may react out of fear like 2001's Hal or The Terminator's SkyNet; it's about incorporating emotional competencies that allow computers to better perform their jobs. On the simplest level, this may mean installing sensors and programming that simply allow a computerized system to determine the emotional state of its user and respond accordingly. The book also mentions options such as the ability to include emotional content in computer-moderated communications that work far better than today's emoticons. The first part of Picard's book introduces the theoretical foundations and principles of affective computing in a thoroughly nontechnical manner. She explores why feelings may soon become part of computing technology and discusses the advantages and the concerns of such a development. Picard raises a number of ethical issues, including the potential for misleading users into thinking they're communicating with another human and the need to incorporate responsible behavior into affective computer programming, along the lines of Isaac Asimov's famous three laws of robotics. In part 2, the book becomes more technical, although it is still within the comprehension of most laypeople. This section discusses how computers might be designed, constructed, and programmed to allow them to recognize, express, and even have emotions. This book is a solid scientific introduction to a subject that seems like a doorway into science fiction.
Reviewer Rob Slade wrote:
There will be, I dare say, a "religious" debate over this book. While
isolated visionaries have idly speculated about emotion in computers,
the vast majority of the computer using, and non computer using,
populace sees technology as cold, mathematical, and ultimately
objective (if occasionally in error). The fact that this assessment
is an emotional one gets conveniently forgotten.
One of the possible divisions in the study of artificial intelligence
is in the approach taken. The brute coding approach simply strives to
make programs more and more intelligent, the definition of
"intelligent" being left as a problem to be dealt with once we have
something that is at least marginally useful. This strategy has been
demonstrably successful in producing entities like Deep Blue and
techniques such as expert systems. The alternative route is to
observe that we already have at least one agreed upon model of
intelligence, and to seek to apply what we know of the human mind to
some form of programming. While that course suggests interesting
tactics like neural networks, spectacular triumphs have not been
forthcoming. Still, it is in pursuing this modelling approach that
Picard has divined a potentially revolutionary concept in computing.
So radical is this idea, in fact, that even those who praise Picard
and the book tend to see affective computing as only a means to a
superior user interface, and miss the proposal that affect is key to
intelligence itself.
The postulate that emotion is important to intellect is not new.
Picard acknowledges this, and, as any good scholar would, builds on
the work done by others. Part one of the book provides an overview of
emotion theory, as well as general questions about emotion and its
relevance to the development of computing. Part two looks more
specifically at the technical aspects of affective applications.
Chapter one outlines basic human emotion studies, concentrating first
on the physical aspects of emotion, and then on the cognitive. It is
quite easy, in this section, to see why so many readers see the book
as dealing merely with the user interface, since much of this primary
material has immediate implications in allowing computers to assess
the emotional state of the user, and to tailor presentation
appropriately. The ramifications for computing are more subtle, but
do exist, for example in the determination of urgent matters or the
drive to learn from errors. An initial examination of affective
components in computing is the emphasis for chapter two. In addition
to the ability to recognize and express emotions, Picard lays out an
interesting framework for deciding whether or not computers "have"
emotions. While perhaps not final, it is a very useful aid to
starting work on affective computing without diverting too much energy
to more philosophical questions of defining affect. Applications that
might benefit from affective computing, in chapter three, include
coaching, communications, counseling, education, consumer studies,
entertainment, motivation, search agents, and environmental agents.
(As one indication of the importance of the work Picard proposes,
consider how far we are from being able to give the command that she
throws away as the title of one section:" Fast Forward to the
Important Part.") Concerns, in chapter four, involve trust, fraud,
poor application, privacy, accuracy, tradeoffs in objectivity,
centralized manipulation, negative emotions, design, and computer
rights. The author states outright that many of these considerations
will only be problems in outlandish circumstances, or at far future
dates.
Chapter five starts to look at the technical issues involved in
programming emotion, starting with the processing of affective signals
in a way that mimics what we know of human emotional response. (My
own immediate reaction was to the lack of a coding mechanism for
measurement, storage, and communication, but I am probably getting
ahead of the work.) "Recognizing and Expressing Affect," in chapter
six, reviews current work in dealing with facial expressions, vocal
intonation, and other factors. Further research is reported in
chapter seven's look at the generation of emotion, primarily via
cognitive mechanisms. Chapter eight discusses in more depth the
concept of "wearable" computers, mostly in terms of the ultimate
"personal" computer (or network).
It has been proposed that the AI goal of reproducing human
intelligence is a chimera and a false trail. Machine intelligence, so
the thesis suggests, is different in kind from human intelligence, and
the attempt to make one copy the other would be better directed to
finding the differences between them and assigning work appropriately.
If this latter hypothesis is true then Picard's recommended line of
enquiry would be futile in terms of producing better machine
intellect--but would still be valuable in determining the dividing
line.
In the Preface, the author demonstrates that she is aware that there
will be--how shall we put this?--an emotional response to the central
tenet of the text, and that, our culture being what it is, this
reaction will be additionally weighted by the fact of her gender.
Picard is walking a fine line between presenting a scientific thesis
to a scientific community and proposing an exciting, but radical, new
field of study. I suspect that she has deliberately chosen to display
an objective and understated exposition, and that she was correct in
doing so. However, the manner and structure of the book do readily
allow readers to consider only the mundane, if valuable, human-machine
interaction questions, and miss the more elusive and controversial
points.
I strongly recommend this book for all audiences. For general
readers, there are many interesting discussion points, both technical
and social. For developers, there is advice and direction to follow
in terms of the user interface. For the zealot, there may be the key
to the future.
copyright Robert M. Slade, 1998
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