Digital Human Models in Human Factors and Ergonomics Evaluation of Gesture Interfaces

Susanna Aromaa, Nikos Frangakis, Domenico Tedone, Juhani Viitaniemi, Iina Aaltonen

    Research output: Contribution to journalArticleScientificpeer-review

    7 Citations (Scopus)

    Abstract

    Gesture-based interfaces are becoming a widely used interaction modality in many industrial applications. Therefore, it is important to guarantee usable and ergonomic interfaces for workers. The purpose of this study was to investigate whether the use of digital human models (DHMs) by human factors/ergonomics (HFE) experts can complement the user evaluation of gesture interface prototypes. Two case studies were conducted, in which gesture-based systems for remote robot control were evaluated. The results indicate that the use of DHMs supports the findings from self-reported HFE evaluations. However, digital human modeling still has some limitations. For example, in this study, it was not possible to evaluate small muscle groups (e.g. fingers). We argue that adaptation of the DHMs could be a rapid and simple alternative for supporting the HFE design of gestures.
    Original languageEnglish
    Article number6
    Number of pages14
    JournalProceedings of the ACM on Human-Computer Interaction
    Volume2
    Issue numberEICS
    DOIs
    Publication statusPublished - 1 Jun 2018
    MoE publication typeNot Eligible

    Keywords

    • Human factors and ergonomics
    • gesture interfaces
    • digital human model
    • virtual prototyping

    Fingerprint

    Dive into the research topics of 'Digital Human Models in Human Factors and Ergonomics Evaluation of Gesture Interfaces'. Together they form a unique fingerprint.

    Cite this