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Decision support in tourism based on human-computer cloud

Published: 28 November 2016 Publication History

Abstract

Tourist mobility, high risk and uncertainty in unfamiliar environments cause the importance of information and decision support for tourists. On the other side, complex nature of tourism economic sector, intertwined with other sectors, demand for decision support methodologies and tools helping destination management organizations to plan the activities for promoting and rational development of tourist destinations. Decision support systems in tourism today leverage a variety of technologies both machine-driven and human-driven. This paper applies a novel concept of human-computer cloud as a conceptual and architectural approach to building decision support systems in tourism (both from the tourist's perspective, and from destination management organization's perspective). The main role of human-computer cloud here is to provide a convenient abstraction for computational resources, not only "ordinary" (electronic/software) ones but also human-based. In the paper, we identify the list of typical decision support tasks in tourism domain, outline possible human-based extensions of traditional kinds of decision support systems, and finally discuss how some popular decision support functions in this domain can be mapped to a multi-tiered conceptual architecture of human-computer cloud services. The proposed approach is illustrated by two usage scenarios - itinerary planning and destination visitors' survey.

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cover image ACM Other conferences
iiWAS '16: Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services
November 2016
528 pages
ISBN:9781450348072
DOI:10.1145/3011141
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 28 November 2016

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Author Tags

  1. cloud computing
  2. decision support
  3. human in the loop
  4. human-computer systems
  5. tourism

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  • (2022)An Efficient HPU Resource Virtualization Framework for Human-Machine Computing SystemsProceedings of the 13th Asia-Pacific Symposium on Internetware10.1145/3545258.3545264(166-174)Online publication date: 11-Jun-2022
  • (2021)Human-Computer Cloud and Its Applications in E-TourismResearch Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering10.4018/978-1-7998-9023-2.ch055(1143-1176)Online publication date: 2021
  • (2021)Ontology-Based Human-Computer Cloud for Decision SupportResearch Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering10.4018/978-1-7998-9023-2.ch019(410-430)Online publication date: 2021
  • (2020)Human-Computer Cloud and Its Applications in E-TourismTools and Technologies for the Development of Cyber-Physical Systems10.4018/978-1-7998-1974-5.ch008(202-235)Online publication date: 2020
  • (2018)Decision Support Service Based on Dynamic Resource Network Configuration in Human-Computer CloudProceedings of the 23rd Conference of Open Innovations Association FRUCT10.5555/3299905.3299954(362-368)Online publication date: 19-Nov-2018
  • (2018)Ontology-Based Human-Computer Cloud for Decision SupportInternational Journal of Embedded and Real-Time Communication Systems10.4018/IJERTCS.20180101019:1(1-19)Online publication date: Jan-2018
  • (2018)Decision Support Service Based on Dynamic Resource Network Configuration in Human-Computer Cloud2018 23rd Conference of Open Innovations Association (FRUCT)10.23919/FRUCT.2018.8588080(362-368)Online publication date: Nov-2018

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