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IN THE BUBBLE JOHN THACKARA - witz cultural

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Notes to Pages 204–205 277<br />

59. George Metakides and Thomas Skordas, ‘‘Major Challenges in Ambient Intelligence’’<br />

(presentation at ‘‘Tales of the Disappearing Computer,’’ Santorini, Greece,<br />

June 2003, available at http://ilios.cti.gr/DCTales/presentations/Santorini_TALES<br />

_GM_TSk_light.pdf).<br />

60. Greger Linden, ‘‘Proactive Computing and Proact’’ (presentation at ‘‘Tales of<br />

the Disappearing Computer,’’ Santorini, Greece, June 2003). The archive for Proact<br />

(The Research Programme on Proactive Computing), the consortium Linden leads,<br />

is available at http://www.aka.fi/index.asp?id=c36cc39f901d43279aa3c90cd5934a4c.<br />

61. Scott Makeig, ‘‘New Insights into Human Brain Dynamics’’ (presentation at<br />

Society for Psychophysiological Research Symposium, San Diego, Calif., October 22,<br />

2000), available at http://www.sccn.ucsd.edu/~scott/spr00.html. According to<br />

Makeig, ‘‘rapid advances in available technology for recording high-density EEG,<br />

MEG and MRI signals from the human brain afford an unprecedented opportunity<br />

to observe and model human brain dynamics during a very wide range of human experience<br />

and task performance. Interpreting the mass of derived data requires new<br />

computational tools.’’<br />

62. In their search to determine cognitive and emotional states of mind remotely,<br />

researchers are developing techniques to measure a person’s pupil dilation, where a<br />

person is looking, and how much cognitive effort is required. See William S. Riippi,<br />

‘‘Identification Systems: Policy, Process, and Technology—Choices for an Integrated<br />

Solution’’ (presentation at GTC West, 2003), available as part of ‘‘Public Safety<br />

& Homeland Security Speeches’’ on the MTG Management Consultants website at<br />

http://www.mtgmc.com/expertise/speeches_ps.shtml.<br />

63. Intel explains that ‘‘the emergence of a new genre of machine learning tools<br />

firmly grounded in statistical methods is particularly exciting. Systems use uncertainty<br />

to support robotic hypothesis generation, a key stepping stone to anticipation.’’<br />

Intel’s vision on proactive computing and its possible applications is<br />

described in ‘‘Exploratory Research: A Future of Proactive Computing,’’ available on<br />

the Intel website at http://www.intel.com/research/exploratory/. For its part, IBM<br />

plans to create ‘‘systems that configure and manage themselves under human supervision—an<br />

approach often called autonomic computing.’’ IBM concedes, in an aside,<br />

that the introduction of autonomic computing ‘‘will change the relationships between<br />

systems and people’’ and that ‘‘not a lot is known about this kind of transformation<br />

in the human-computer relationship.’’ From the online summary of the<br />

Conference on the Human Impact and Application of Autonomic Computing Systems,<br />

IBM T. J. Watson Research Center, Yorktown, N.Y., April 21, 2004, available at<br />

http://www.almaden.ibm.com/asr/chiacs.<br />

64. M. Satyanarayanan, ‘‘A Catalyst for Mobile and Ubiquitous Computing,’’ Pervasive<br />

Computing: Mobile and Ubiquitous Systems 1, no. 1 ( January–March 2002), 5.<br />

Satyanarayanan is the journal’s editor.

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