**3. Methodology**

Along the study and development of the tool, different hypotheses have been proposed to help analyze the process of data acquisition and subsequent presentation of results. The proposed hypotheses are the following:

**Hypothese 1 (H1)**: *The use of mobile applications could help in the prevention of occupational risks.*

**Hypothese 2 (H2)**: *The use of mobile applications may help on energy saving.*

**Hypothese 3 (H3)**: *Mobile devices can be used by any smartphone user as a fairly accurate light meter tool.*

**Hypothese 4 (H4)**: *The use of mobile applications could facilitate the regulations' fulfillment regarding the illuminance in work spaces.*

**Hypothese 5 (H5)**: *The use of an intelligent agent based in rules could help in decision-making about recommended light intensity.*

Finally, we have developed the system and applied it to a real case in order to obtain the level of the user's degree with the proposed implementation. For this task, we have developed an easy-to-use interface which reduces the transitions between screens.
