A Framework for Comparing Interactive Route Planning Apps in Tourism

Route planning applications are digital companions of many travelers, enabling them to experience different locations in a self-determined way. This work surveys the variety of commercial applications and research prototypes for itinerary planning with the goal of evaluating the interactivity aspect of these tools. For this purpose a framework to classify the interaction mechanisms and usage features of route planning applications has been developed that differentiates between the point-ofinterest and the aggregate tour layer. This proposed framework is applied to classify existing apps and points to opportunities for further research.

[1]  Yohei Kurata,et al.  CT-Planner4: Toward a More User-Friendly Interactive Day-Tour Planner , 2014, ENTER.

[2]  Jean Oh,et al.  Getting from here to there: interactive planning and agent execution for optimizing travel , 2002, AAAI/IAAI.

[3]  Gerhard Friedrich,et al.  A Taxonomy for Generating Explanations in Recommender Systems , 2011, AI Mag..

[4]  Liliana Ardissono,et al.  Intrigue: Personalized recommendation of tourist attractions for desktop and hand held devices , 2003, Appl. Artif. Intell..

[5]  Hoong Chuin Lau,et al.  Orienteering Problem: A survey of recent variants, solution approaches and applications , 2016, Eur. J. Oper. Res..

[6]  Rafael Caballero,et al.  Interactive design of personalised tourism routes , 2012 .

[7]  Pieter Vansteenwegen,et al.  Trip Planning Functionalities: State of the Art and Future , 2010, J. Inf. Technol. Tour..

[8]  Li Chen,et al.  Usability Guidelines for Product Recommenders Based on Example Critiquing Research , 2011, Recommender Systems Handbook.

[9]  Dirk Van Oudheusden,et al.  The City Trip Planner: An expert system for tourists , 2011, Expert Syst. Appl..

[10]  Kenneth F. Hyde,et al.  The Nature of Independent Travel , 2003 .

[11]  Káthia Marçal de Oliveira,et al.  A public transportation ontology to support user travel planning , 2010, 2010 Fourth International Conference on Research Challenges in Information Science (RCIS).

[12]  Chang-Shing Lee,et al.  Ontological recommendation multi-agent for Tainan City travel , 2009, Expert Syst. Appl..