Qualitative Analysis of Interviews with Municipal Officers Toward the Human-Centered Improvement of the eLen Regulation Database System - Human-Centric Computing in a Data-Driven Society
Conference Papers Year : 2020

Qualitative Analysis of Interviews with Municipal Officers Toward the Human-Centered Improvement of the eLen Regulation Database System

Aki Shima
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  • PersonId : 1123061
Tokuyasu Kakuta
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  • PersonId : 1123062

Abstract

The objective of this study is to analyze results of interviews that we conducted with Japanese municipal officials who have engaged in legislative drafting and to present main issues addressed by the interviewees. Moreover, based on the results of analysis, it aims to clarify remaining problems that legislators face with during legislation, which will be necessary conditions for expanding and improving human-centered functions of e-legislation systems. Using qualitative analysis of interviews with municipal officers, this paper identifies the following four issues addressed by interviewees: (1) inconsistency among ordinances; (2) inconsistency of an ordinance; (3) insufficiency in consideration of legislative objectives and facts; (4) inadequacy of legal research. Based on the results of interview analysis, this study clarifies whether the eLen regulation database system copes with them and discusses remaining problems. Overall, it illustrates that some functions included in the eLen are helpful for diminishing those issues. However, in order to overcome the problems with which legislators face in the process of legislation, the results of this study show that it is significant to provide legislators education, such as trainings for the way to use the system and benchmarking method or for learning legislation process. Although the eLen has already implemented several instructive mechanisms, we will improve further the system so that users can learn the proper process of legislation through the usage of the system.
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hal-03525283 , version 1 (13-01-2022)

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Aki Shima, Tokuyasu Kakuta. Qualitative Analysis of Interviews with Municipal Officers Toward the Human-Centered Improvement of the eLen Regulation Database System. 14th IFIP International Conference on Human Choice and Computers (HCC), Sep 2020, Tokyo, Japan. pp.86-99, ⟨10.1007/978-3-030-62803-1_8⟩. ⟨hal-03525283⟩
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