In the personal application space, the main results are that the mood emphasis in the presented e-SENSE scenarios impacted negatively on the interviewees’ feedback. The reasons are that it could influence negatively the users’ identity and relationships. However, the limits depend on the applications and situations. For example, the mood based applications are realistic and acceptable in entertainment areas such as sport and gaming.
The most interesting result is that the social acceptance of context aware mobile applications relies on the addition of many very particular and special reasons for using the e-SENSE application. It explains the reservations of the interviewees concerning the usage of the presented applications in their current practices and ordinary life. But for very special situations or needs, the e-SENSE applications get meaningful. In fact, there is no typical user for the presented applications, but each one is a potential user that could meet the situation or the conditions in which he will need it. This is the specificity of the highly personalised and context aware applications offered by e-SENSE. In this perspective, it is interesting noticing that the e-SENSE concept is perceived by the interviewees as a solution to detect and resolve all the problems. In addition, our inquiry enabled the observation of very minor variances in the interviewees’ reactions depending on their nationality but it does not affect the global acceptance in different ways.

In the community application space, there were differences between the participants in the two countries: they were all nurses in Spain and all but one were doctors in Germany, which would lead to interpretation problems for exclusive country-wise interpretation because the professional background could also play an important role for the assessment of e-SENSE applications. Therefore, the results could be interpreted as a description of the acceptance/feasibility of usage of the selected e-SENSE scenarios taking very strongly into account the basic differences between the participants in the different groups and countries.
Anyway, there were very few differences between doctors and nurses in the opinions about e-SENSE scenarios, and we can make hypotheses that those differences could be due to their different relationship with patients (those involved in the scenarios shown to the participants).
As it could be expected, the professional users had a lot more knowledge than those of participants in personal application space about the technologies involved and their possibilities of application. Therefore, their opinions and recommendations are of foremost importance about the applicability of the concept in medical contexts. In this way, the interviewees made some remarks that are translated into recommendation within the report (e.g. unobtrusiveness of the sensors and usability in every situation, commitment or legal obligation for the hospital, doctor’s fear of decreased communication with patients through the usage of the system, doctors’ request for more parameters for diagnosis etc.)

In the industrial application space it is demonstrated that almost all the sectors that produce goods and services offer numerous opportunities for e-SENSE system. This result is derived from a reasoned prospective approach that crosses the functions that the technology is able to perform with the great diversity of these industrial sectors. Firstly, the wireless sensor networks are able to achieve the same function in sectors as different as the building and food-processing industries. Secondly, the contexts and the other characteristics of the sectors of the economy turn them into clients that have specific expectations regarding the functions that e-SENSE technologies can perform.
The cross-examination between the functions and the multi-sector representation of the production system led to the distinction of e-SENSE applications in the production and transport processes, on one hand, and in the products and services supplied to customers on the other. That distinction between process and supply is already relevant in the envisioned scenarios of the e-SENSE industrial application space in the five sectors spanning from agriculture to mass distribution as well as the food-processing, transport and logistics industries.

The survey in these sectors confirms that the most predictable applications in the medium term (from 3 to 5 years) will bear on production and transport processes, and more particularly on the uses pertaining to the enterprises themselves and within their organisations. It is only at a second stage that they will extend to the supply itself of the products and services provided by these companies (e.g. retailing).
Surveys into professional circles demonstrate the very warm welcome of the e-SENSE system towards professional actors in the industrial sector. The presented concept of the e-SENSE system promises enhancing the companies’ productivity and competitiveness. Such favourable reception, along with a few traditional ethical and practical reservations against ambient intelligent applications, is capable of fostering projects, but investments do not appear as forthcoming in the short term. The reality of today’s practices is indeed limited: it consists of pioneering experiments on RFID applications, as had been pointed out as for the logistics and mass distribution sectors. It should be valuable to inquire within each European country through an in-depth study of those experiments since our inquiry demonstrates the potential added value provided by the e-SENSE technology to the existing RFID applications.