IEEE Technology and Society Magazine - December 2016 - 70
Table 1. Response Rates of each Community.
LISTSERV/mailing list/Facebook Community
Response Rates
the Japanese society for Artificial intelligence (JsAi)
1%
64/ca.4300
the Virtual Reality society of Japan (VRsJ)
1%
12/ca.1000
hAi symposium 2015 (5-6 Dec)
15%
20/ca.130
Workshop on interactive systems and software (2-4 Dec)
3%
5/ca.170
Japan Association for the contemporary and Applied philosophy (JAcAp)
3%
9/ca.300
Japanese society for science and technology studies (Jssts)
4%
18/ca.500
science, technology, and society Network Japan
29%
19/65
Japan Association for philosophy of science
3%
15/ca.500
philosophy of science society
1%
6/ca.500
preparatory meeting of "Robot Law society" Facebook group
2%
7/288
the Japan society for Research policy and innovation management (JsRpim)
6%
57/ca.900
the science & technology experts Network by science and technology Foresight center
23%
464/2060
personal mail from Research institute of science and technology for society
-
18/-
sF
science Fiction and Fantasy Writers of Japan (sFFWJ)
14%
28/ca.200
other
email from acquaintances
-
80/-
ict
ssh
pm
Whereas SF writers/editors/critics
comprised the most eager group to be
engaged in IMS impact evaluation, the
public was the least interested group.
asked the respondents to consider the immediate
future, that is, approximately the next ten years. The
questionnaire consisted of five sections: a) images of
the spread of IMS ten years before and after the present
year; b) acceptable IMS in various scenarios and the
associated reasons; c) the preferred direction of IMS
development; d) opinions regarding societies using IMS
and the appropriate phase for considering the ethical,
legal, and social implications (ELSI) of IMS; and e) a
face sheet.
Scenarios
Using brief descriptions, we identified eight scenarios in
everyday life where IMS could be introduced:
1) Driving: handling, speed control, navigation, parallel
parking, and collision avoidance.
70
2) Child nursing: playing, lulling, watching, feeding,
bathing, and disciplining.
3) Elder care: excretion, bathing, feeding, transferring,
and companioning.
4) Life event decision-making: concerning entering
schools, applying and changing occupations, marriage and divorce, pregnancy and childbirth, and
inheritance.
5) Healthcare: dieting, physical exercise, sleeping,
smoking, and drinking alcohol.
6) Creative activities: music, painting, writing, and game
creation.
7) Disaster prevention: rescuing, searching, clearing rubble, distribution assistance, and damage
prediction.
8) Military activities: reconnaissance, guarding, combat, spying, defending, rescuing, and distribution
assistance.
Respondents were asked to select acceptable
human-machine relations for the eight scenarios
within the next ten years from the following five
options through an Internet-based questionnaire:
1) only humans should do, 2) humans will take the
initiatives and use IMS as a tool, 3) IMS will take
the initiative and operate under the management of
humans, 4) rely on IMS almost completely, and 5)
do not know.
IEEE Technology and Society Magazine
∕
DECember 2016
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