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The Media Equation: How People Treat Computers, Television, and New Media like Real People and Places
 
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The Media Equation: How People Treat Computers, Television, and New Media like Real People and Places [Paperback]

Byron Reeves , Clifford Nass
3.8 out of 5 stars  See all reviews (13 customer reviews)

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From Publishers Weekly

Fresh evidence of human gullibility never fails to entertain. Stanford professors Reeves and Nass provide plenty of cocktail-party ammunition with findings from 35 laboratory experiments demonstrating how even technologically sophisticated people treat boxes of circuitry as if they were other human beings. People are polite to computers, respond to praise from them and view them as teammates. They like computers with personalities similar to their own, find masculine-sounding computers extroverted, driven and intelligent while they judge feminine-sounding computers knowledgeable about love and relationships. Viewers rate content on a TV embellished with the label "specialist" superior to identical content on a TV labeled "generalist" (they even found the picture clearer on the "specialist" box). Reeves and Nass, who combine expertise in fine arts, communications, math, sociology, television and computers, were consultants to the world's foremost software corporation on the creation of the Microsoft Bob software package. Not surprisingly, their breezy tone and emphasis on the benign practical applications of their discoveries give their discussion an optimistic bias. Why not make media easier to use and more fun? Yet, their more important contribution may lie in alerting us to specific media dangers. The evidence of our suggestibility offers particularly powerful new arguments for monitoring children's television. And if the mere number of rapid-fire visual cuts in political advertisements really correlates with an impression of honesty, intelligence and sincerity, the more viewers who are put on guard, the better.
Copyright 1996 Reed Business Information, Inc. --This text refers to an out of print or unavailable edition of this title.

From Library Journal

Reeves and Nass (Ctr. for the Study of Language and Information, Stanford Univ.) have written a fascinating book on how humans interact with computers and other media. Their media equation, "media=real life," means that people respond to the mediated world and the real world in the same fundamentally social and natural way. The authors explain that since the human brain has not evolved to respond to 20th-century technology, it processes media as if they were real life. To prove their equation, the authors combed through existing social science and psychology experiments that tested person-to-person responses in social interactions but changed the experiments to test person-to-computer interaction. In all cases, the results supported the media equation, demonstrating that people interact with media just as they interact with other humans. Maintaining a jargon-free, readable style, the authors share their obvious enjoyment of the humorous situations that often arose during the experiments. In their conclusion, they call on engineers to heed this media equation and improve the design of computers for more effective human-to-media interaction. Recommended for larger public libraries and academic libraries.?Ann Babits Grice, East Brunswick P.L., N.J.
Copyright 1996 Reed Business Information, Inc. --This text refers to an out of print or unavailable edition of this title.

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13 Reviews
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3.8 out of 5 stars (13 customer reviews)
 
 
 
 
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1 of 1 people found the following review helpful
5.0 out of 5 stars Must read popularization, Feb 19 2002
By 
This review is from: The Media Equation: How People Treat Computers, Television, and New Media like Real People and Places (Paperback)
The media equation, as introduced by Nass and Reeves, is that "media equals real life" and that our interactions with media are "fundamentally social and natural" (p. 5). This book is a popularization of established, replicated research on how people interact with television advertising, tutoring systems, error messages, loud noises, sudden movement, etc. For instance, one widely replicated result is that computer tutoring systems get better evaluations if the evaluation program is run on the same computer. Moving the reviewer to a new computer (with the same program), significantly lowers the score. The social science literature shows that teachers who collect their own evaluations score much more highly than those whose evaluations are collected by others. This is the kind of evidence Nass and Reeves bring to bear in support of the media equation. They don't claim that we are consciously thinking about the computer's feelings and don't want to hurt them. Rather, to the contrary, subjects claim they were doing no such thing. Yet the evidence of our behavior seems incontrovertible.

The media equation is a good enough predictor of user behavior, at least for telephone-based spoken dialog systems of the form my company builds, that it has informed our designs from top to bottom. Our applications apologize if they make a mistake. Callers respond well to this. Sure, the callers know they're talking to a machine, but this doesn't stop them from saying "thank you" when it's done or "please" before a query or feeling bad (or angry) if the computer can't understand them. Another strategy recommended by Nass and Reeves that we follow is trying to draw the caller in to work as a team with the computer; again, Nass and Reeves support this with several clever experiments. There is also a useful section on flattery, looking at the result of the computer flattering itself and its users; it turns out that we rate computers that flatter themselves more highly than ones that are neutral.

Among other interesting explanations you get in this book are why we're more tolerant of bad pictures than bad sound, why we focus on moving objects, speaking rate equilibrium, what we can do to make someone remember an event in a video, and the role of gender.

This book is very quick and easy to read. I read it in two days while on vacation it was so fascinating. In contrast to the classical yet dry social science format of hypothesis, experimental methodology, results, and essentially a summary of the results as a conclusion, Nass and Reeves only vaguely summarize their experimental methodology and take a no-holds-barred approach to drawing conclusions. This may annoy social scientists, most of whom expect their own kind to be far more circumspect.

This book is an absolute must-read for anyone designing mediated interfaces. For those who don't believe the results, I'd suggest running some experiments; our company did, and it made us believers.

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1.0 out of 5 stars nothing new, Feb 28 2003
By A Customer
This review is from: The Media Equation: How People Treat Computers, Television, and New Media like Real People and Places (Paperback)
This book can be summed up in two sentences: "People instinctivly react to artificial interactions (with computers and media) the same way they react to interactions in real life. This can be used to manipulate people."

Except for the authors' pro-manipulation bias, this media=reality "equation" is nothing new - Steven Pinker talked about new media and old brains in several of his books. Ted Nelson said that users automatically interact with computers "naturally" in work he published in the 1970's. Even Arthur C. Clarke mentioned the phenomenon in "3010."

The authors have replicated and repackaged previously done research with a popular, marketing spin. In the process, they have extended the theory to ludicrous levels - as evidenced by the (non) success of Microsoft's "Bob," which the authors consulted on, and which they still seem to think is a claim to fame.

Academics working in the social or cognitive sciences will find nothing new here. Dot-commers, were there any left, might find it worthwhile to explore this esoteric branch of UI design, but would be better served by spending their attention on basics like Tognazini and Nielson. The authors' tunnel vision and extraordinarily self-important outlook detract from any further value the work might have.

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1.0 out of 5 stars The whole world is a media equation????, July 13 2001
By 
A. R. H. Fischer "Astro" (Utrecht, Netherlands) - See all my reviews
(REAL NAME)   
This review is from: The Media Equation: How People Treat Computers, Television, and New Media like Real People and Places (Paperback)
Reeves and Nass find that people use social conventions towards intelligent systems. Without further thinking they decide it is something new, something great. We are thinking of interactive systems as other social beings is their explanation. With some imagination you could come up with a number of other explanations, that equally well fit the data.

I do not disagree with their findings, but I really disagree with their conclusions, especially the eagerness and determination with which they jump to them. However I notice their ideas seem pretty convincing, and here lies my real worry with this book. So if you decide to read it anyway keep asking yourself if the conclusions Reeves and Nass jump to are really as worthwhile as they make them appear.

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