A proposal of a visualization method for service ideas using paper card based-fieldwork

Kazutoshi Sakaguchi, Nobuyuki Kobayashi, Aki Nakamoto, Seiko Shirasaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study proposes a visualization method for service ideas by considering the usage context based on various stakeholders’ experiences gained in tabletop fieldwork. The proposed method is characterized by “idea generation through making combinations” as well as “experience-sharing based on tabletop fieldwork”. We applied the proposed method to two workshops, and confirmed that a total of 118 people successfully visualized their ideas in a short time using the proposed method. This study details the procedure of visualization, and shows that the proposed method assists in developing master plans and future visions.

Original languageEnglish
Title of host publicationServiceology for Services - 5th International Conference, ICServ 2017, Proceedings
PublisherSpringer Verlag
Pages121-134
Number of pages14
Volume10371 LNCS
ISBN (Print)9783319612393
DOIs
Publication statusPublished - 2017
Event5th International Conference on Serviceology for Services, ICServ 2017 - Vienna, Austria
Duration: 2017 Jul 122017 Jul 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10371 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Serviceology for Services, ICServ 2017
CountryAustria
CityVienna
Period17/7/1217/7/14

    Fingerprint

Keywords

  • Card
  • Context
  • Fieldwork
  • Service idea
  • UX

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Sakaguchi, K., Kobayashi, N., Nakamoto, A., & Shirasaka, S. (2017). A proposal of a visualization method for service ideas using paper card based-fieldwork. In Serviceology for Services - 5th International Conference, ICServ 2017, Proceedings (Vol. 10371 LNCS, pp. 121-134). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10371 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-61240-9_12