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Encouraging System towards Severe Slope Way for Nervous Tourists
Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2232029
ABSTRACT
Recently, tourism contents concerning a slope way has attracted lots of attention. A severe slope way has significant risk for tourists to abort their plan because of avoiding to be tired. However, its solution is not fully developed. In Post-Covid (Coronavirus disease)-19 environment, support for tourism in an actual field could become imperative again. Therefore, the present paper develops and evaluates a system to reduce the above-mentioned negative factor of a slope way. Concretely, we propose the following three menus in our system 1) a menu to show some useful or helpful spots existing along a severe slope way, 2) a menu to show how much useful for diet trial based on the gap of two elevations such as the highest and lowest points, and 3) a communication menu to helpful character emerging along a severe slope way. We develop these three menus and provide tourists with positive factors derived from walking a slope way. It also brings some novel values of a severe slope way walking. We have evaluated our pilot system by the following two

method:

(1) evaluation experiment with some subjects, and (2) interviews to tourism professionals. Both of their results shows that our system would be useful in order to encourage nervous tourists towards a severe slope way. © 2022 IEEE.
Keywords

Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Topics: Long Covid Language: English Journal: Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Topics: Long Covid Language: English Journal: Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022 Year: 2022 Document Type: Article