The Man Who Lied to His Laptop (What We Can Learn About Ourselves from Our Machines)

ISBN: 9781617230042
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Overview

Counterintuitive insights about building successful relationships- based on research into human-computer interaction.

Books like Predictably Irrational and Sway have revolutionized how we view human behavior. Now, Stanford professor Clifford Nass has discovered a set of rules for effective human relationships, drawn from an unlikely source: his study of our interactions with computers.

Based on his decades of research, Nass demonstrates that-although we might deny it-we treat computers and other devices like people: we empathize with them, argue with them, form bonds with them. We even lie to them to protect their feelings.

This fundamental revelation has led to groundbreaking research on how people should behave with one another. Nass's research shows that:
  • Mixing criticism and praise is a wildly ineffective method of evaluation
  • Flattery works-even when the recipient knows it's fake
  • Introverts and extroverts are each best at selling to one of their own
Nass's discoveries provide nothing less than a new blueprint for successful human relationships.

This book title, The Man Who Lied to His Laptop (What We Can Learn About Ourselves from Our Machines), ISBN: 9781617230042, by Clifford Nass, Corina Yen, published by Penguin Publishing Group (June 26, 2012) is available in paperback. Our minimum order quantity is 25 copies. All standard bulk book orders ship FREE in the continental USA and delivered in 4-10 business days.

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Product Details

Author:
Clifford Nass, Corina Yen
Format:
Paperback
Pages:
256
Publisher:
Penguin Publishing Group (June 26, 2012)
Language:
English
ISBN-13:
9781617230042
ISBN-10:
1617230049
Weight:
8.4oz
Dimensions:
5.5" x 8.3" x 0.7"
Case Pack:
40
File:
RandomHouse-PRH_Book_Company_PRH_PRT_Onix_delta_active_D20240502T233610_147012297-20240502.xml
Folder:
RandomHouse
As low as:
$12.24
Shipping Origin:
Westminster, MD
List Price:
$24.00
Publisher Identifier:
P-RH
Discount Code:
A
Audience:
General/trade
Country of Origin:
United States

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