2010
DOI: 10.1007/978-3-642-14749-4_25
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Interactive Assistance for Tour Planning

Abstract: Abstract. It is often difficult for individual tourists to make a sightseeing tour plan because they do not have prior knowledge about the destination. Although several systems have been developed for assisting the user's tour planning, these systems lack interactivity, while demanding a lot of data input from the user. In this paper, we introduce a new computer-aided tour planning system, called CT-Planner, which realizes collaborative tour planning. The system provides several tour plans with different chara… Show more

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Cited by 14 publications
(2 citation statements)
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“…Changes in context, which include date and time, participant preferences, their location, their surrounding environment, and who they are with, can provide the impetus for people to participate in intergroup and intragroup collaboration (Hinze et al., ). As described by Kurata (), tourists tend to modify their tour plans due to a change in their preferences or in their surroundings. One of the examples given described how a change in arrival time due to a traffic condition made it no longer feasible to visit a museum because it was closed.…”
Section: Resultsmentioning
confidence: 99%
“…Changes in context, which include date and time, participant preferences, their location, their surrounding environment, and who they are with, can provide the impetus for people to participate in intergroup and intragroup collaboration (Hinze et al., ). As described by Kurata (), tourists tend to modify their tour plans due to a change in their preferences or in their surroundings. One of the examples given described how a change in arrival time due to a traffic condition made it no longer feasible to visit a museum because it was closed.…”
Section: Resultsmentioning
confidence: 99%
“…Robot tour guides have been applied in different environments [1][2][3][4][5][6] because they save human labor, do not require time-consuming training, and have the possibility to ease discomfort during social interactions [7]. Previous works have been focusing on the routing of places of interest (a traveling salesman style problem) [8], localization and Distribution A. Approved for public release; distribution unlimited.…”
Section: Introductionmentioning
confidence: 99%