University of Leicester
Browse
Kefalidou_Empirical-framework-HTI_route_optimisation_CAMERA_AMEND_190618_WATERMARK.pdf (1.09 MB)

An Empirical Framework for Understanding Human-Technology Interaction Optimisation for Route Planning

Download (1.09 MB)
conference contribution
posted on 2018-08-16, 15:55 authored by Genovefa Kefalidou
A number of interactive systems have been developed in the past to simulate or improve optimised route planning as part of problem solving (e.g. Vehicle Routing Problems (VRPs)) focussing mainly in the utilisation of computational algorithms. Main reasons for developing such interactive systems is that they combine the strengths both computerised systems and humans have, to aid the generation of optimal solutions and promote green logistics. Under a joint-cognitive perspective, the system and the human operator (user) become parts of a single ecosystem, co-operating to complete a task and in which cognitive technologies aid them to reach a decision. This paper reports the performance-based design of such an interactive tool that supports optimisation in route planning. It aims to identify human performance, behaviour and opportunities for designing innovative usercentred interactive optimisation tools for route planning. Twenty-six users evaluated the interactive route planner. Results suggest that switching strategies while planning routes lead to increase in route optimality while providing different levels of control for the user. Results lead to the extension of a joint-cognitive approach framework for optimisation routing problems that takes into account both performance metrics and contextual factors such as changes within the task environment. Related implications to optimisation systems’ design and evaluation are also discussed with a particular focus on how new ubiquitous navigation technologies can be improved to promote cooperation and more optimal route planning.

Funding

This research was conducted as part of the author's PhD thesis at Lancaster University. This work was supported by EPSRC under Grant

History

Citation

Electronic Workshops in Computing (eWiC), 2018

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Informatics

Source

2018 British Human Computer Interaction Conference, Belfast, Northern Ireland

Version

  • AM (Accepted Manuscript)

Published in

Electronic Workshops in Computing (eWiC)

Publisher

BCS

issn

1477-9358

Acceptance date

2018-05-10

Copyright date

2018

Available date

2018-10-10

Publisher version

http://hci2018.bcs.org/prelim_proceedings/papers/Full Track/BHCI-2018_paper_189.pdf

Temporal coverage: start date

2018-07-02

Temporal coverage: end date

2018-07-06

Language

en

Usage metrics

    University of Leicester Publications

    Categories

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC