IN THE BUBBLE JOHN THACKARA - witz cultural
IN THE BUBBLE JOHN THACKARA - witz cultural
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.