@inproceedings{2d7bfa9733ee42a1be925fa6ac9209d5,
title = "A Customer Experience Mapping for Knowledge Extraction from Social Simulation Results",
abstract = "Various methodologies have been proposed for extracting knowledge from the output results and logs of social simulations. Such analysis methods are important not only for model developers and analysts, but also for sharing knowledge and communication among other stakeholders. In this paper, we attempt to apply the System Experience Boundary Map, which is one of the experience mapping methods used in the field of design thinking, for the analysis and formal description of the results of social simulation.",
keywords = "Customer experience mapping, Formal description, Life planning, Log analysis, Simulation analysis, Social simulation",
author = "Takamasa Kikuchi and Masaaki Kunigami and Hiroshi Takahashi and Takao Terano",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 16th KES International Conference on Agents and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2022 ; Conference date: 20-06-2022 Through 22-06-2022",
year = "2022",
doi = "10.1007/978-981-19-3359-2_14",
language = "English",
isbn = "9789811933585",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "159--168",
editor = "Gordan Jezic and Chen-Burger, {Yun-Heh Jessica} and Mario Kusek and Roman {\v S}perka and Howlett, {Robert J.} and Howlett, {Robert J.} and Howlett, {Robert J.} and Jain, {Lakhmi C.} and Jain, {Lakhmi C.}",
booktitle = "Agents and Multi-Agent Systems",
}