A Model-based Heuristic Evaluation Method of Exploratory Search

Abstract

A shortcoming of current evaluation methods of exploratory search engines is that they cannot be used to determine whether users' behaviours and exploratory search tasks are usefully supported. One main reason is that these methods rely on a loosely defined model of the exploratory search process. The aim of this paper is to propose a new model-based heuristic evaluation method of these systems. We present the approach used to design the heuristics of exploratory search and a checklist form for using them. The evaluation of the heuristics and its procedure demonstrates that they significantly help the users achieve an exploratory search system assessment.

Contributors

Emilie Palagi

Fabien Gandon

Alain Giboin

Raphaël Troncy

Conference

Publication date: July 2018

Publication date (Print): July 2018

Pages: 1-5

Affiliations

Inria, Université Côté d’Azur

Sophia Antipolis, France

EURECOM

Sophia Antipolis, France

DOI: 10.14236/ewic/HCI2018.108

Copyright statement: © Palagi et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2018. Belfast, UK.

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of the 32nd International BCS Human Computer Interaction Conference

Conference acronym: HCI

Conference number: 32

Conference location: Belfast, UK

Conference date: 4 - 6 July 2018

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Human Computer Interaction Conference

Product

Product Information: 1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2018.108

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing