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The goal, if I interpret correctly, is to instill a brand with the associations of core personal values that allow the consumer to recall an abstract in relation to the brand that minimizes the variance in memory, kind of like being patriotic to a particular brand. Or, likely to be more specific, the goal of this strategy is to induce a recollection of a core belief/feeling and to then transfer that core belief/feeling to the brand so as to instill a sense of familiarity and unconscious preference based on personal identification.
And these advertising campaigns are being designed to take advantage of the ignorance that the average human has regarding their own conscious awareness.
The conscious and intelligent manipulation of the organized habits and opinions of the masses is an important element in democratic society. Those who manipulate this unseen mechanism of society constitute an invisible government which is the ruling power of the country.
We are governed, our minds are molded, our tastes formed, our ideas suggested, largely by men we have never heard of. This is a logical result of the way in which our democratic society is organized. Vast numbers of human beings must cooperate in this manner if they are to live together as a smoothly functioning society.
Originally posted by tigpoppa
i ahve a great bbc documanetary about this and how freud is behind it all.
anyone know the name?
i forget but watch that it shows everything discussed in this thread.
Google Video Link |
OSD10-HS3
TITLE: Neuromorphic Models of Human Social Cultural Behavior (HSCB)
TECHNOLOGY AREAS: Information Systems, Human Systems
OBJECTIVE: The objective of this topic is to develop techniques for modeling human cognition using neural signals that drive human cognitive processes, instead of observed behaviors that result from cognitive processes.
DESCRIPTION: To handle today’s complex military environments we must make our warfighters as cognitively strong as they are physically strong. The key to doing this is to accurately model cognition. Human Social Cultural Behavioral (HSCB) models provide an important technology for decision makers at all levels to understand the impact that their actions can have on the mission at hand [1]. The predicted outcomes of these models are only as good as the fidelity of the human behavior representations (HBR) that form them [2]. Often, these models have poor fidelity due to factors that were not included in the original model that may impact the overall behavioral response; these factors include but are not limited to: fatigue, stress, cognitive overload, and changes in context.
Human behavior is the result of the brain’s cognitive processes [5]. Cognition is the interaction & integration of ‘building blocks’ like perception, attention & memory which is how the brain makes sense of information. Each of these building blocks results from activity across multiple brain regions forming ‘ad hoc’ networks across the physical substrate of the brain [6]. Current cognitive models are based on observed human behavior and do not account for the functions of the brain that give rise to actual human cognition [3]. Traditionally, these models are based on high level representations of individual or aggregate human behavior [4]. Even the best models don’t precisely represent these actions – let alone, cognition because they ignore the brain. Because these representations provide only a snapshot of behavior, when they are included in HSCB models they produce predictions and simulations that are limited to specific activities in a given context.
The focus of this topic is on developing the tools and technologies to create higher resolution and more dynamic representations of human behavior, by including neurally-based representations of human cognitive processes. Current neuroimaging techniques provide the ability to identify individual cognitive processes as they arise, and recent advances in signal analysis technologies provide the means to quickly and accurately decode these processes [7]. These processes can be analyzed in terms of temporal measures (eg how long a ''neural circuit'' is active), in terms of spatial measures (eg which regions of the brain are active or co-active during the process) or both. Once identified and decoded, these processes could be modeled to understand their impact on alternate cognitive processes that may co-occur during a given military mission. These models would provide the needed fidelity by including the ability to model behavior in a wider array of cognitive situations and alternate contexts. Potential metrics by which to assess model improvement include, but are not limited to: speed metrics (how quickly the model arrives at a solution); accuracy metrics (how close to correct the model solution is); convergence metrics (how closely the model''s speed and accuracy measures reflect actual human performance); comparison metrics (neurocognitive based model perofrmance compared to traditionally developed models); and, completion metrics (how much of what is currently known about the neural action underlying a given cognitive process is captured by the model). Additionally, it is very likely that choice or specific metric set will depend on the chosen task that will be modeled - this choice together with the actual metrics should be clearly identified during Phase 1 and provided in appropriate Phase 1 reports.
OSD10-HS4
TITLE: Dynamic Meta-Network Analysis
TECHNOLOGY AREAS: Information Systems, Human Systems
OBJECTIVE: To develop methods and tools to visualize dynamic meta-data social networks and to assist with the analysis of the interdependencies of complex social networks.
DESCRIPTION: Terrorist organizations and other covert groups have network structures that are cellular and distributed, distinct from those in typical hierarchical organizations. Therefore, determining how to attack dynamic networked organizations or how they are likely to evolve, change, and adapt is extremely problematic. Most intelligence sources construct social networks with multiple node classes and multiple different relations between nodes. Research that narrowly focuses on single mode networks does not provide adequate information on interdependent relationships and effects (i.e. being able to distinguish between nodes that are high in information vs. brokers of resources for example is an important capability).
Dynamic meta-network analysis is an emergent scientific field that extends the power of thinking about networks to the realm of large scale, dynamic systems with multiple co-evolving networks involving cognitively realistic agents. With a meta-network perspective, a set of networks connecting various entities such as people, groups, knowledge, resources, events, or tasks are combined to describe and predict system behavior. What is needed is a series of tools and techniques for collecting data on and reasoning about these covert networks even in the face of incomplete or uncertain information.
OSD10-HS2
TITLE: In Situ Collection of Human Social Cultural Behavioral Data
TECHNOLOGY AREAS: Human Systems
OBJECTIVE: The objective of this topic is to develop novel technologies for collecting, storing and making available Human Social Cultural Behavior (HSCB) data for use in both HSCB model verification and validation and in HSCB applications for decision making and course of action development.
DESCRIPTION: With the increasing emphasis placed on non-kinetic, asymmetric and sustainability operations, a growing emphasis is placed on modeling dynamic and complex human social cultural behavior in order to project the consequences of intended actions [1]. These models are only as refined as the data that is provided to them. Today, these models use available HSCB data sets, [2] in order to understand a given population’s organization, modes of communication, behavioral trends and such.
Unfortunately, these data sets are limited in number and scope due to the complex and lengthy processes required to populate them. As human behavior is continuously modified though ever changing aspects of the environment, family relationships, and cultural activity [3], HSCB data sets can quickly become out of date or inaccurate. Time constraints and the need for “instant analysis” have increasingly exposed the limitations of traditional SME based analysis and the capabilities of current HSCB analysis frameworks [4]. Lack of current HSCB data availability and flexibility poses significant challenges to understanding and forecasting human activity. Models are limited in their ability to test additional theories and perform verification and validation. As a result, it is difficult if not impossible to effectively utilize current HSCB data sets for novel investigations, often requiring the creation of a unique data set for each novel effort.
The focus of this topic is on developing the capability for long term, sustained data collection technologies from cultural and social regions of interest. The desired data collection capability would include: processes that incorporate techniques to pull in unfiltered data at the source from areas such as multimedia (e.g. Web, television, radio), online record storage, and individual inputs; techniques for representing these data in a standardized, searchable format; and tool sets for visualizing and analyzing these data. Additionally the proposed capability should be able to work in an untended manner, for prolonged durations and include a remote operation capability in order to sustain long-term data collection efforts. Potential Solution types may be either software based, hardware based or both. Proposals should be explicit in indicating what type of solution they will provide at project end, and this must be included as part of the Phase 1 feasibility study, proposed system specifications and preliminary design/architecture.
This is not too far off from the Stanford Research Institute's creation of their Values, Attutides, and Lifestyles model of human behavior regarding consumerism.
Except that with the advent of computer networking and A.I., the effectiveness of this once profound model can be multiplied by an ever accelerating number.
Originally posted by Astyanax
VALS is 'psychographics'. The two terms refer to the same type of consumer profiling. It was big in the Eighties, but it's old hat now.
Originally posted by MemoryShock
Old hat to whom? Some of the world has no idea what VALS is...that's the point...
Originally posted by Josephus23
Most of what we are privy to in the form of succinctly presented and well understood information regarding the advertising industry has only become universally accepted some 30 to 40 years after the fact.
Originally posted by Josephus23
We can validly discuss the true casual nature of advertising that was published in the 70's and 80's.
Originally posted by Josephus23
...the techniques currently being used are more speculation than fact...
Originally posted by Astyanax
Well, if some of the world isn't aware of VALS, whose fault is it?