A holistic approach to requirements elicitation for mobile tourist recommendation systems

Andreas Gregoriades*, Maria Pampaka, Michael Georgiades

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Abstract

Mobile recommendation systems (MRS) are becoming ever more popular in the tourism industry, due to their potential to declutter the decision-making process of tourists. Despite their proliferation, such systems seem to lack accuracy and relevance to the needs of their users. This paper describes the mobile recommendation problem and explores the relationships between personality, emotion, context and recommendations for tourists. Its aim is to investigate user-requirements of prospective mobile recommendation systems for tourists and the influence of personality and emotional state on user needs. To that end, a survey was conducted with tourists in Cyprus at a point of interest to identify their recommendation needs. Collected data have been analyzed and preliminary results indicate different user requirements among contextual factors. This indicated that the contextualization of these applications in accordance with users’ personality and emotional state is essential to realize their full potential.

Original languageEnglish
Title of host publicationLecture Notes in Networks and Systems
PublisherSpringer Nature
Pages857-873
Number of pages17
DOIs
Publication statusE-pub ahead of print - 2 Feb 2019
EventFuture of Information and Communication Conference: Advances in Information and Communication - San Francisco, United States
Duration: 14 Mar 201915 Mar 2019

Publication series

NameLecture Notes in Networks and Systems
Volume69
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceFuture of Information and Communication Conference
Abbreviated titleFICC2019
Country/TerritoryUnited States
CitySan Francisco
Period14/03/1915/03/19

Keywords

  • Context
  • Emotion
  • Mobile recommendation systems
  • Personality
  • User requirements

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