Adapting a Faceted Search Task Model for the Development of a Domain-Specific Council Information Search Engine

被引:3
作者
Schoegje, Thomas [1 ]
de Vries, Arjen [2 ]
Pieters, Toine [1 ]
机构
[1] Univ Utrecht, Utrecht, Netherlands
[2] Radboud Univ Nijmegen, Nijmegen, Netherlands
来源
ELECTRONIC GOVERNMENT, EGOV 2022 | 2022年 / 13391卷
关键词
Task analysis; User studies; Information seeking behaviour; Information needs; Domain analysis; BEHAVIOR; SEEKING;
D O I
10.1007/978-3-031-15086-9_26
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Domain specialists such as council members may benefit from specialised search functionality, but it is unclear how to formalise the search requirements when developing a search system. We adapt a faceted task model for the purpose of characterising the tasks of a target user group. We first identify which task facets council members use to describe their tasks, then characterise council member tasks based on those facets. Finally, we discuss the design implications of these tasks for the development of a search engine. Based on two studies at the same municipality we identified a set of task facets and used these to characterise the tasks of council members. By coding how council members describe their tasks we identified five task facets: the task objective, topic aspect, information source, retrieval unit, and task specificity. We then performed a third study at a second municipality where we found our results were consistent. We then discuss design implications of these tasks because the task model has implications for 1) how information should be modelled, and 2) how information can be presented in context, and it provides implicit suggestions for 3) how users want to interact with information. Our work is a step towards better understanding the search requirements of target user groups within an organisation. A task model enables organisations developing search systems to better prioritise where they should invest in new technology.
引用
收藏
页码:402 / 418
页数:17
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