With developing technologies and growing infrastructures, connected experiences are expanding their realms towards various devices and scenarios in our lives. One of the areas, which is going under a big change due to this connectivity is the car related experiences. As connectivity is intrinsically enabler of different experiences and services, it is foreseen that it will bring a different dimension to car and driving related experiences as well.By investigating the future trends and possibilities that connectivity can provide to car and driving related experiences, this thesis aims for imagining the near future scenarios with an explorative approach, focusing on one and addressing to the rising issues with a design proposal that is meaningful to both users and the industry.The result, Tripcloud, contributes to the future scenario of having a road trip with the car, with a new digital platform that aims for supporting the users throughout the planning and bringing the plans into the car experience seamlessly and safely. It aims for reducing today’s existing complexity in terms of interaction and cognition to provide a better experience and avoid driver distraction. With providing organised information pieces, information exchange between people and automated links with mobile devices and car, Tripcloud offers easier an more convenient alternative for road trip planing and bringing the plans into car experiences for the near future.

Mobile technologies have been adopted into education more and more. New hardware, such as smart phones and tablets, has increased the popularity of mobile technology. There are also many applications created for the fields of education and tourism. This research chose a travel application from Taiwan to apply into a tourism geographic course at the Taiwan Hospitality and Tourism College (THTC). A quasi-experiment design was applied to this study. Two classes/groups participated in the study. One class was the treatment group which used the travel app through teaching scenarios. The other group was the contrast group which used a lecture format with handouts. Both groups were given a pre-test to determine knowledge of Danongdafu Forest Park (DFP), and Taiwan tourism geography. A post-test was administered after eight weeks of teaching activities. Post intervention scores were compared to pre-intervention scores between the two groups. The results of ANOVA showed that there was no statistically significant learning difference between the treatment group and the contrast group. A paired-sample t-test analysis revealed that after eight weeks of teaching DFP content, both groups gained significantly in knowledge. Furthermore, the learning attitudes and interviews of the treatment group students indicated positive responses utilizing m-learning in teaching scenarios. Students indicated a desire to receive m-learning opportunities for future courses.