Re: [xmca] Psyche Mining - Cross Culture Decision Making Activities

Interesting entry into XMCA, Naeem.
I am reasonably acquainted with both Friedman's writing and the research on
cognitive styles to which
you refer. While I find both areas interesting and challenging, I do not
think either can be understood
in the more or less blanket terms that you use. And I am virtually certain
that there is no clear connection
between the basic research on West-vs-the-rest cognitive styles from
quesionaires and experimental
tasks to business applications of the kind you are concerned with.

Do you know of any successful such applications?

mike cole

On 6/26/07, Naeem Hashmi <nhashmi@infoframeworks.com> wrote:
>
> I come from business–technology research community end, engaged in
> developing new technologies to address global business-communication
> challenges. The following note introduces an interesting challenge for
> researchers today.
>
>
>
> As world is getting flatter and flatter, how well we understand
> communication, collaboration and decision making mechanism, almost in real
> time, will determine the success of the future business. This means
> understanding eastern cultures (collective intelligence – social, decision
> making processes - emotional intelligence, gestures etc.) and with direct
> interactions with his/her western counterpart at an individual/group
> level. This requires teachers to be first 'globalized' so they can bring
> young generation accordingly. (Perhaps many readers of this forum may
> have read Tom Friedman's' book, "The World Is Flat." Tom's book is an
> interesting reading but for those who have not, here is Toms' talk at MIT
> http://mitworld.mit.edu/video/266/ that you will find interesting.)
>
>
>
> However, business cannot wait for the future flattened-generation in this
> geo-political world; we need technologies today to facilitate this
> globalized-business. Last year, I launched a research program (Psyche
> Mining) at the Center of Knowledge Engineering at National University of
> Emerging Sciences and Technologies in Pakistan (
> http://infoframeworks.com/cone/) to develop new algorithm to solve global
> business communication challenges across the globe in real-time (distributed
> autonomous agent technologies). Main research is how to capsulate
> intra-cultural behaviors, especially eastern vs. western, in context of
> business decision making processes. I have few graduate students working on
> new algorithms.
>
>
>
> Here is how I described a simple scenario for a cover story that I
> authored for the Enterprise Magazine (June 1, 2004).
>
>
>
> "Today, when customers call to address problems or follow up on unresolved
> problems, they usually end up interacting with voice-response prompting
> systems, which put them through sequences of prompts, and eventually to
> customer service representatives. By the time customers reach live
> representatives, they're already frustrated. Further delays and
> unsatisfactory answers stoke agitation, eroding customer confidence and
> possibly causing the company to lose business. Is it possible to turn such a
> situation around?
>
>
>
> Let's fast forward a few years. In a future version of this scenario,
> before the customer gets upset, embedded mobile intelligent agents pick up
> the conversation pattern and voice tone change. The system proactively
> addresses the rising anger by playing an appropriate subliminal message that
> calms both the caller and the customer rep before it gets too late. This
> "intelligence" is built right in the "communication" layer, where an
> intelligent agent performs voice mining on the fly to understand not only
> the language, voice envelope, and culture involved, but also the psyche of
> the caller. The system understands the customer's behavior with far more
> sensitivity than what's possible with today's customer profiling
> techniques."
>
>
>
> Full story is available at http://www.intelligententerprise.com/channels/integration/showArticle.jhtml?articleID=20600076
>
>
>
>
> The Psyche Mining research project includes the following key elements in
> designing new algorithms: Speech Mining; Language development; Content
> Mining; Gesture Mining; Culture-Mining; Decision Mining, all in real time.
> The proposed distributed agents spread across the communication threads (at
> the participant's nodes) just like virus that has built-in intelligence to
> collect 'ambient intelligence' and when combined with past 'collective
> intelligence' understand the direction of the discussion and act
> accordingly. These agents collaborate with other agents associated with
> participants engaged in real-time communication (collaboration). One can
> identify locale of a percipient relatively easily through IP address schemes
> that can be then turned into 'geo' dimension in turn identify unique
> cultural characteristics associated with individual participants and much
> more.
>
>
>
> We had some success in developing algorithms in emotion extractions
> through content mining, but a lot more needs to be. Project is just in its
> early stages
>
>
>
> Here are few questions for this group.
>
>
>
> Are other universities engaged in similar research? If so, what has been
> learned?
>
>
>
> Any references to research on how different cultures make decisions and
> why? For example decision making process, from childhood, in eastern
> cultures is 'community' based (team efforts, concession driven) while in the
> western cultures, decision making based on 'individuals' opinion (me, my,
> I). How both decision making styles work in a global business decision
> making? What are the key culture (social) qualifiers responsible for
> decision making activities?
>
>
>
> Internet Advertisement companies do exploit brain-wave response model (say
> P300) to pop specific ads based on decision cycle based on product
> price. Say for car, the decision process is different than when buying a
> bicycle and how far-apart you need to project an ad to catch your attention
> is executed based on how P300 brain-wave triggers emotions. This is
> achieved through mining past visits history and much more…but not very
> robust and very incomplete process due to mobile nature of the end
> users. The Psyche Mining project will also help in such real-business
> scenarios at a global scale.
>
>
>
> Do you have research data on how 'collective-intelligence' influences
> 'social-intelligence' and how they are both related to 'Emotional
> Intelligence' specifically decision-making actions (possibly for
> cross-culture domain)?
>
>
>
> Any feedback is welcomed.
>
>
>
> ---
> Naeem Hashmi
> Chief Research Officer
> Information Frameworks
> T: 603-552-5171 M: 603-661-6820
> Website: http://infoframeworks.com
> _______________________________________________
> xmca mailing list
> xmca@weber.ucsd.edu
> http://dss.ucsd.edu/mailman/listinfo/xmca
>
_______________________________________________
xmca mailing list
xmca@weber.ucsd.edu
http://dss.ucsd.edu/mailman/listinfo/xmca
Received on Tue Jun 26 13:50 PDT 2007