Teorización – Actitudes maternas

Foucault (1978) explained truth as being composed by a group of reliable and un-questionable discourses, the product of an interplay between power institutions;

it is perceived by all and interpreted individually [52]. The idea of truth being a socially constructed product of interactions and self-awareness makes the con-cept in itself problematic, but how does truth relate to contextual information?

Subjective-context-aware systems pose the question of what “truth” is in many cases—for example, “Is this interpretation correct?” or “Is this action correct.?” Thus, finding truth is automatized by a system that follows presets.

It is a system that essentially follows a thread of information—maybe even de-contextualized—until it finds the original source and evaluates it against public rating. If there was a way to prove that public rating is a product of subjective context awareness automation, then we could rely on its veracity. However, is truth everything that we—in smaller and bigger groups—agree upon, or are we set to believe what a system points out to be true, believing that it is a reflection of a group’s consent, if we consider the possibility of a system to point to reliable sources without bias? On one hand, the solution might pose more questions on how we construct truth and how it is manipulated to benefit the few. On the other, it could be a revolutionary way to achieve justice, equality, happiness, security, and reliability—the true empowerment of the individual.

6 Discussion

We have suggested in this work a new typology for subjective context that ar-ranges data through values, intentions, and feelings. The typology is produced

by extending the original dimensions of objective data into broader levels of understanding and deeper levels of intimacy. With this typology we suggest new ways of understanding context in which automated systems—already versed in objective context—can process the subjective data and in turn enhance the building of human values and personality. We believe that this future symbiotic experience between users and subjective-context-aware systems may empower users to find more significant and intimate interactions with automated systems (e.g., the search for truth; Google Truth). In other words, as subjective context information is automated, the system will gather insights on human behavior and experiences; learn about the type of lives we aspire to live; determine how to provide company, care, and trust; and anticipate actions to fulfill our desires.

In the future, contextual information harvesting will most likely be taken for granted because sensors will be present everywhere, unless we choose other-wise. The already automated use of contextual information—location, contacts, searches, and consumer habits—and substitution of certain human habits (e.g., memorizing phone numbers, keeping appointments on paper calendars) indicate our reliance on machines accessing and using our contextual information to pro-vide more personalized services. The effectiveness of machines to use and con-nect data has created different habits that in turn have given way to new services and business models.

In our discussion about subjective context and the possible services, we have discussed the inevitable change in habits, closeness, and understanding of truth.

Because we present automated systems that will ideally know us better than any other human being, the questions about machines being capable of becoming our best friends, companions, or friends still stands. The question is, however, what does it mean to be a human? If a system is capable of augmenting our expressions and reactions to values and personality, does this change how we define human-ity? We don’t envision the substitution of human relations or changes in the core meanings of what it means to be human. However, we do envision the emergence of new types of relationships between humans and machines, extending further into the symbiotic paradigm in which humans and computers become codepend-ent and work seamlessly together [53].

As we observed in the exploration of the business models, this type of seam-less interaction adds consumer value. Thus is worth of pursuing in the era of experience economics, where services offering superior experiences are able to attract users from other vendors. Furthermore, technologies for both sensing and interpreting beyond the objective context exist, thus ensuring that this can be achieved. Finally, as we have highlighted, context sensing is data-intensive work. This implies that there is a good opportunity that platform economy rules

will apply; that is, dominant operators will emerge, become superstars, and take majority of the profit in this area.

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