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Fig. 14. Participants’ opinion about the categories well suited for the application and about the possible availability of the system for the city where they live (here we considered participants living outside the city of Reggio Emilia).

Figure 14 Participants’ opinion about the categories well suited for the application and about the possible availability of the system for the city where they live (here we considered participants living outside the city of Reggio Emilia).

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Fig. 1. Steps to develop our transmedia storytelling system.
Fig. 1. Steps to develop our transmedia storytelling system.
Fig. 4. The designed transmedia storytelling system: to keep the mobile application light and scalable, the system uses GPS technologies to locate the mobile device, Google Maps to locate contents on a map and YouTube to stream the clips. Fig. 3. Clip geolocalization: a town block as it was in 1940 (left) and how it is today (right). Source: Tirelli Prampolini G. (left), Ferretti I. (right).
Fig. 4. The designed transmedia storytelling system: to keep the mobile application light and scalable, the system uses GPS technologies to locate the mobile device, Google Maps to locate contents on a map and YouTube to stream the clips. Fig. 3. Clip geolocalization: a town block as it was in 1940 (left) and how it is today (right). Source: Tirelli Prampolini G. (left), Ferretti I. (right).
Fig. 2. Clip geolocalization: the localization of a clip with a girl riding a bike allows to compare the town area in 1955 (left) and nowadays (right). Source: Saccani R. (left Google Street View (right).
Fig. 2. Clip geolocalization: the localization of a clip with a girl riding a bike allows to compare the town area in 1955 (left) and nowadays (right). Source: Saccani R. (left Google Street View (right).
Fig. 5. Storytelling through personal modes. When clicking on a pin (left), some basic information appear on the map and when playing the video (right) all the video detail: (title, description, filmmaker, production year and original film format) are shown.
Fig. 5. Storytelling through personal modes. When clicking on a pin (left), some basic information appear on the map and when playing the video (right) all the video detail: (title, description, filmmaker, production year and original film format) are shown.
Fig. 6. Storytelling through preset modes: a theme mode example (a); a route mode example (b)
Fig. 6. Storytelling through preset modes: a theme mode example (a); a route mode example (b)
ig. 7. Storytelling through preset modes on the map: example of a theme (“Everyday Life”) showed on the map (a) and example of a route (“Via Emilia”) showed on the map »).
ig. 7. Storytelling through preset modes on the map: example of a theme (“Everyday Life”) showed on the map (a) and example of a route (“Via Emilia”) showed on the map »).
Fig. 9. MOS results. Q1: “Rate your experience with the system” [AVG = 4.6, ST. DEV = 0.8]; Q2: “Is the system just for people passionate about history?” [AVG = 3.3, ST.DEV = 1.3]; Q3: “Is the system for young people?” [AVG = 3.6, ST.DEV = 1.1]; Q4: “Is the system for senior people” [AVG = 4.2, ST.DEV = 0.9]. Fig. 8. Age of the 116 volunteer participants.
Fig. 9. MOS results. Q1: “Rate your experience with the system” [AVG = 4.6, ST. DEV = 0.8]; Q2: “Is the system just for people passionate about history?” [AVG = 3.3, ST.DEV = 1.3]; Q3: “Is the system for young people?” [AVG = 3.6, ST.DEV = 1.1]; Q4: “Is the system for senior people” [AVG = 4.2, ST.DEV = 0.9]. Fig. 8. Age of the 116 volunteer participants.
Fig. 10. MOS results. Q5: “Did the system help you understanding how was life in the past?” [AVG = 4.2, ST.DEV = 0.9]; Q6: “After using the system, are you more interested in the history of the city?” [AVG=4.1, ST.DEV=0.9]; Q7: “Are you interested in historical topics?” [AVG =3.5, ST.DEV = 1.3];Q8: “After using the system, have you changed your way of looking at the urban landscape?” [AVG = 3.4, ST.DEV = 1.1].
Fig. 10. MOS results. Q5: “Did the system help you understanding how was life in the past?” [AVG = 4.2, ST.DEV = 0.9]; Q6: “After using the system, are you more interested in the history of the city?” [AVG=4.1, ST.DEV=0.9]; Q7: “Are you interested in historical topics?” [AVG =3.5, ST.DEV = 1.3];Q8: “After using the system, have you changed your way of looking at the urban landscape?” [AVG = 3.4, ST.DEV = 1.1].
Fig. 11. MOS results. Q5: “Did the system help you understanding how was life in the past?” [(a): AVG = 4.3, ST.DEV = 0.6; (b) AVG = 4.1, ST.DEV = 1.2]; Q6: “After using the system, are you more interested in the history of the city?” [(a): AVG = 4.2, ST.DEV = 0.7; (a): AVG = 3.6, ST.DEV = 1.2]; Q8: “After using the system, have you changed your way of looking at the urban landscape?” [(a): AVG = 3.6, ST.DEV = 1.0; (a): AVG = 3.1, ST.DEV = 1.0].
Fig. 11. MOS results. Q5: “Did the system help you understanding how was life in the past?” [(a): AVG = 4.3, ST.DEV = 0.6; (b) AVG = 4.1, ST.DEV = 1.2]; Q6: “After using the system, are you more interested in the history of the city?” [(a): AVG = 4.2, ST.DEV = 0.7; (a): AVG = 3.6, ST.DEV = 1.2]; Q8: “After using the system, have you changed your way of looking at the urban landscape?” [(a): AVG = 3.6, ST.DEV = 1.0; (a): AVG = 3.1, ST.DEV = 1.0].
Fig. 12. MOS results. Q5: “Did the system help you understanding how was life in the past?” [(a): AVG = 4.4, ST.DEV = 1.0; (b): AVG = 4.1, ST.DEV = 1.0;]; Q6: “After using the system, are you more interested in the history of the city?” [(a): AVG = 4.2, ST.DEV = 1.0; (b): AVG = 4.1, ST.DEV = 1.0]; Q7: “Are you interested in historical topics?” [(a): AVG = 3.2, ST.DEV = 1.4; (b): AVG = 3.6, ST.DEV = 1.4]; Q8: “After using the system, have you changed your way of looking at the urban landscape?” [(a): AVG = 3.5, ST. DEV = 1.0]; (b): AVG = 3.4, ST.DEV = 1.2].
Fig. 12. MOS results. Q5: “Did the system help you understanding how was life in the past?” [(a): AVG = 4.4, ST.DEV = 1.0; (b): AVG = 4.1, ST.DEV = 1.0;]; Q6: “After using the system, are you more interested in the history of the city?” [(a): AVG = 4.2, ST.DEV = 1.0; (b): AVG = 4.1, ST.DEV = 1.0]; Q7: “Are you interested in historical topics?” [(a): AVG = 3.2, ST.DEV = 1.4; (b): AVG = 3.6, ST.DEV = 1.4]; Q8: “After using the system, have you changed your way of looking at the urban landscape?” [(a): AVG = 3.5, ST. DEV = 1.0]; (b): AVG = 3.4, ST.DEV = 1.2].
Fig. 13. MOS results. Q5: “Did the system help you understanding how was life in the past?” [(a): AVG = 4.6, ST.DEV = 0.5; (b): AVG = 3.8, ST.DEV = 1.4;]; Q6: “After using the system, are you more interested in the history of the city?” [(a): AVG = 4.5, ST.DEV = 0.9; (b): AVG = 3.9, ST.DEV = 1.3]; Q8: “After using the system, have you changed your way of looking at the urban landscape?” [(a): AVG = 3.4, ST.DEV = 1.0]; (b): AVG = 3.3, ST.DEV = 1.1].
Fig. 13. MOS results. Q5: “Did the system help you understanding how was life in the past?” [(a): AVG = 4.6, ST.DEV = 0.5; (b): AVG = 3.8, ST.DEV = 1.4;]; Q6: “After using the system, are you more interested in the history of the city?” [(a): AVG = 4.5, ST.DEV = 0.9; (b): AVG = 3.9, ST.DEV = 1.3]; Q8: “After using the system, have you changed your way of looking at the urban landscape?” [(a): AVG = 3.4, ST.DEV = 1.0]; (b): AVG = 3.3, ST.DEV = 1.1].
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