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    The Glass Cage: Automation and Us

    Page 29
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      Pebble, 201

      Pediatrics, 97

      perception, 8, 121, 130, 131, 132, 133, 144, 148–51, 201, 214–18, 220, 226, 230

      performance, Yerkes-Dodson law and, 96

      Phenomenology of Perception (Merleau-Ponty), 216

      philosophers, 119, 143, 144, 148–51, 186, 224

      photography, film vs. digital, 230

      Piano, Renzo, 138, 141–42

      pilots, 1, 2, 32, 43–63, 91, 153

      attentional tunneling and, 200–201

      capability of the plane vs., 60–61, 154

      death of, 53

      erosion of expertise of, 54–58, 62–63

      human- vs. technology-centered automation and, 168–70, 172–73

      income of, 59–60

      see also autopilot

      place, 131–34, 137, 251n

      place cells, 133–34, 136, 219

      Plato, 148

      Player Piano (Vonnegut), 39

      poetry, 211–16, 218, 221–22

      Poirier, Richard, 214, 215

      Politics (Aristotle), 224

      Popular Science, 48

      Post, Wiley, 48, 50, 53, 57, 62, 82, 169

      power, 21, 37, 65, 151, 175, 204, 217

      practice, 82–83

      Predator drone, 188

      premature fixation, 145

      presence, power of, 200

      Priestley, Joseph, 160

      Prius, 6, 13, 154–55

      privacy, 206

      probability, 113–24

      procedural (tacit) knowledge, 9–11, 83, 105, 113, 144

      productivity, 18, 22, 29, 30, 37, 106, 160, 173, 175, 181, 218

      professional work, incursion of computers into, 115

      profit motive, 17

      profits, 18, 22, 28, 30, 33, 95, 159, 171, 172–73, 175

      progress, 21, 26, 29, 37, 40, 65, 196, 214

      acceleration of, 26

      scientific, 31, 123

      social, 159–60, 228

      progress (continued)

      technological, 29, 31, 34, 35, 48–49, 108–9, 159, 160, 161, 173, 174, 222, 223–24, 226, 228, 230

      utopian vision of, 25, 26

      prosperity, 20, 21, 107

      proximal cues, 219–20

      psychologists, psychology, 9, 11, 15, 54, 103, 119, 149, 158–59

      animal studies, 87–92

      cognitive, 72–76, 81, 129–30

      psychomotor skills, 56, 57–58, 81, 120

      quality of experience, 14–15

      Race against the Machine (Brynjolfsson and McAfee), 28–29

      RAND Corporation, 93–98

      “Rationalism in Politics” (Oakeshott), 124

      Rattner, Justin, 203

      reading, learning of, 82

      Reaper drone, 188

      reasoning, reason, 120, 121, 124, 151

      recession, 27, 28, 30, 32

      Red Dead Redemption, 177–78

      “Relation of Strength of Stimulus to Rapidity of Habit-Formation, The” (Yerkes and Dodson), 89

      Renslow, Marvin, 43–44

      Revit, 146, 147

      Rifkin, Jeremy, 28

      Robert, David, 45, 169–70

      Robert Frost (Poirier), 214

      Roberts, J. O., 62

      robotics, robots, 2, 6, 13, 19–20, 29, 30, 33, 39–41, 118, 153, 156, 219, 225, 227, 257n

      capabilities of, 8, 9

      essence of, 36

      ethical questions about, 183–93, 204

      killer, 187–93, 198, 204

      speed of, 186

      Rodriguez, Dayron, 103

      Roomba, 185

      Royal Air Force, 49

      Royal Bank of Canada (RBC), 170–71

      Royal Majesty (ship), 68

      Rubin, Charles, 186

      Russell, Bertrand, 21, 39

      Rybczynski, Witold, 142

      safety, 46, 53–59, 61, 91, 154, 169, 170, 184, 207

      safety alert for operators (SAFO), 1, 170

      Saint-Exupéry, Antoine de, 51, 53

      Sarter, Nadine, 162

      satisfaction, 14, 16, 17, 85, 132

      Scerbo, Mark, 91

      Schön, Donald, 143, 144

      Schüll, Natasha Dow, 179n

      Schulman, Ari, 133

      Schumacher, Patrik, 141

      Science, 73, 79, 219

      scientific management (Taylorism), 107, 114, 158, 207

      scientists, science, 46, 151, 155, 159, 160, 214, 217

      scythe, 218–19, 221, 222, 224

      search engines, 78–80, 206–7

      self, 132, 161, 205–6, 216–17, 220

      self-consciousness, jail of, 16

      self-fulfillment, 24, 85, 157, 161

      self-interest, 59–60

      self-renewal, 132

      senses, 8, 69, 83, 131, 134, 149–51, 201, 217, 219

      sensors, sensing mechanism, 8, 36, 38, 46, 52

      Shanghai Tower, 167

      Shaw, Rebecca, 43–44

      ships, 36–37, 68

      Shop Class as Soulcraft (Crawford), 147–48

      Shushwap tribe, 228–29, 232

      Silicon Valley, 7, 33, 133, 194, 226, 227

      Simons, Daniel, 201

      simplicity, 180, 181

      Singhal, Amit, 78–79

      60 Minutes (TV show), 29

      Sketchpad, 138

      SketchUp, 146

      Skidelsky, Robert, 31–32

      Skiles, Jeffrey, 154

      skill fade, 58

      skills, 80–85, 161, 216–17, 218, 219

      degradation of, 106–12, 125–31, 157

      see also specific skills

      skill tunneling, 202

      Skinner, B. F., 179n

      Slamecka, Norman, 72–73, 74

      slavery, slaves, 20, 21, 25, 26, 224–26

      slot machines, 179n

      Small, Willard, 88

      smartphones, 12–13, 33, 91, 136, 199–202

      smartwatch, 201, 202

      Smith, Adam, 21–22, 106–7

      social decision-making, 122

      social networks, 181–82

      society, 159–60, 161, 172, 173, 176

      automation’s changing of nature of, 193–99, 202

      trade-offs made by, 207–8

      sociologists, 109, 158–59

      software, 1, 7–8, 12, 27, 28, 30, 33, 40, 52, 66, 67, 90, 108, 114–16, 119, 136, 151–52

      architecture and design, 135, 138–47, 167, 229–30

      cognitive processes and, 74–77, 80

      compelling urgency of, 194

      decision support, 70–71

      ergonomics and, 164

      ethics and, 184, 204

      hidden assumptions of, 206

      human- vs. technology-centered, 156, 160, 172–76

      limits of, 9, 205

      medical, 97–100, 114–15

      planes and, 52, 54, 57, 168

      social adaptations to, 202–8

      trust in, 69

      video games as model for design of, 178–82

      software programmers, 157, 159, 174, 175

      space, 129–30, 133–36, 205

      Specialmatic, 174–75

      speed, 17, 20, 35, 38, 51, 88, 159, 181, 207

      of computers, 118–22, 139, 156, 164, 173, 219

      of robots, 186

      spell checkers, 180–81

      Spence, Michael, 30

      Sperry, Elmer A., 47

      Sperry, Lawrence, 46–47, 50, 53, 232

      Sperry autopilot, 47–49

      Sperry Corporation, 49, 58

      Spinoza, Baruch, 216

      spy agencies, 120

      Stanton, Neville, 90–91

      Star Trek, 232

      steamships, 36–37

      stick shift, 3–6, 13

      Street View, 136

      substitution myth, 67, 97, 98, 129, 193

      Sullenberger, Chesley, 154, 170

      supersystem, development of, 196

      Sutherland, Ivan, 138

      tablets, 153, 199, 202

      tacit (procedural) knowledge, 9–11, 83, 105, 113, 144

      talents, 12, 27, 61, 7
    4, 83, 85, 112, 216, 217, 219

      of doctors, 105

      human, limits to replication of, 9

      Talisse, Robert, 85

      Tango (mapping technology), 136

      Taylor, Frederick Winslow, 107, 108, 114, 158, 207

      teachers, teaching, 10, 12, 32, 153

      technical arrogance, 175

      technological momentum, 172–75, 196

      technological unemployment, 26, 27, 198

      technology, 1–2, 150–51, 215–32

      health information, 93–106

      invisibility of, 203–4, 208–10

      labor-saving, 17, 20, 28, 67

      long history of ambivalence to, 21–41

      master-slave metaphor and, 224–26

      progress and, see progress, technological

      TED conference (2013), 199–201

      Tesla Motors, 8

      tests, medical, 70–71, 99, 102, 245n–46n

      Thiel, Peter, 227

      thinking, thought, 65, 67, 147–51

      artificial intelligence and, 119

      drawing as, 142–43, 144

      Thinking Hand, The (Pallasmaa), 145

      Thomis, Malcolm, 23

      THOR (software program), 171

      Thrun, Sebastian, 6, 207

      tools, 150–51, 158, 174, 185, 195, 215–19, 221–26

      To Save Everything, Click Here (Morozov), 225

      traders, trading, 77, 115, 171

      Tranel, Ben, 167

      transport, 48, 49, 132, 173

      “Tuft of Flowers, The” (Frost), 221

      Turing, Alan, 119–20

      Turkle, Sherry, 69

      unconscious mind, 121, 148–49

      unemployment, 20, 25–29, 38

      technological, 26, 27, 198

      United Kingdom, 95

      University College London, 133

      UPS, 117

      U.S. Airways, 154

      Utah, University of, 130

      venture capitalism, 116

      Veterans Administration, 103

      video games, 177–80, 219

      virtualization, 118

      visual cortex, 82

      vocabulary, generation effect and, 72–73

      vocations, computers and, 12

      Voltaire, 160

      Volvo, 8

      Vonnegut, Kurt, 39

      Voss, Bill, 53

      wages and income, 26, 31, 33

      increase in, 22, 24, 30, 37

      of pilots, 59–60

      Wall Street, 77, 115, 156, 171

      Wall Street Journal, 60, 153

      warfare, 19, 35–36, 41, 48, 49

      killer robots and, 187–93, 198, 204

      Washington, University of, 102

      Watson (supercomputer), 118–20

      Watt, James, 36

      wayfinding performance, 130

      wayfinding skills, automation of, 122–37

      wealth, 22, 26, 29, 32, 33, 117, 226–27

      Wealth of Nations, The (Smith), 22–23, 106–7

      weaving, weavers, 23, 36, 66

      Weed, Lawrence, 123, 248n

      Weiser, Mark, 194–95

      Weizenbaum, Joseph, 194

      well-being, 15, 17, 137, 208

      Wells, Thomas J., 49

      Westinghouse, 175

      Whitehead, Alfred North, 65–67, 83, 84

      Wiener, Norbert, 37–40, 117, 158, 161

      WifiSlam, 136

      Wilde, Oscar, 25, 66, 224, 225

      Williams, Serena, 82

      Williams, William Carlos, xi

      Wilson, Timothy, 15

      Winner, Langdon, 209, 224

      Wired, 136, 153, 225

      Woods, David, 162

      word-processing programs, 101

      Wordsworth, William, 137

      work, 14–27, 213–14

      paradox of, 14–16

      standardization of, 107–8, 114

      transfer of, 17–18, 66

      see also jobs; labor

      world, 121, 123–24, 133, 216–20, 232

      World War I, 58

      World War II, 35–36, 41, 49, 157, 158, 174

      Wright, Orville, 61, 168, 215

      Wright, Wilbur, 60, 61, 168, 215

      Xerox, 117

      Xerox PARC, 194, 195, 202

      x-rays, 70, 99

      Yerkes, Robert M., 87–88

      Yerkes-Dodson law and curve, 89–91, 165

      Young, Mark, 90–91

      Zaha Hadid, 141

      Ziegler, Bernard, 170

      Zuckerberg, Mark, 181, 203, 206

      ALSO BY NICHOLAS CARR

      THE SHALLOWS:

      WHAT THE INTERNET IS DOING TO OUR BRAINS

      THE BIG SWITCH:

      REWIRING THE WORLD, FROM EDISON TO GOOGLE

      DOES IT MATTER?

      INFORMATION TECHNOLOGY AND THE CORROSION

      OF COMPETITIVE ADVANTAGE

      THE DIGITAL ENTERPRISE

      (editor)

      Copyright © 2014 by Nicholas Carr

      All rights reserved

      First Edition

      For information about permission to reproduce selections from this book,

      write to Permissions, W. W. Norton & Company, Inc.,

      500 Fifth Avenue, New York, NY 10110

      For information about special discounts for bulk purchases, please contact

      W. W. Norton Special Sales at specialsales@wwnorton.com or 800-233-4830

      Book design by Lovedog Studio

      Production manager: Devon Zahn

      The Library of Congress has cataloged the printed edition as follows:

      Carr, Nicholas G., 1959–

      The glass cage : automation and us / Nicholas Carr.

      pages cm

      Includes bibliographical references and index.

      ISBN 978-0-393-24076-4 (hardcover)

      1. Technology—Social aspects. 2. Automation—Social aspects. I. Title.

      T14.5.C374 2014

      303.48'3—dc23

      2014012271

      ISBN 978-0-393-24635-3 (e-book)

      W. W. Norton & Company, Inc.,

      500 Fifth Avenue, New York, N.Y. 10110

      www.wwnorton.com

      W. W. Norton & Company Ltd., Castle House,

      75/76 Wells Street, London W1T 3QT

     

     

     



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