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AIBOやファービーはもちろん、日テレの情報番組「ザ・独占サンデー」に登場するアヒルレポーターのWINちゃん、そして巨人戦の中継中に「午後8時の男」とか言って勝手に現れるジャビット君(むかつくー!)やニュース犬ブーニーまで、およそ「人間ではない」はずのキャラクターにどうして感情移入してしまうのか、その秘密が書かれています。
タイトル通りコンピューターの本だと思って読んでると、とんでもない方向に連れて行かれますよ。
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.
The only reason I didn't give this work 5 stars is that the authors do not provide enough data on the results of their experiments. They frequently mention "significant" results, but they do not offer the results themselves for the reader to decide just how significant those results may be. This book is clearly written for a large audience, most of whom probably prefer to have the authors offer an interpretation without padding the work with lots of charts and tables. I would have liked a footnote or two with the actual experiment data, but regardless it's an excellent and intriguing read.
I would highly recommend this book to anyone interested in interface design or media studies.
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