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

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

Fingerprint

Ergonomics
Human engineering
Industrial applications
Muscle
Robots

Keywords

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

Cite this

@article{4eedd00d30e94dcf8866ce9d66f3e487,
title = "Digital Human Models in Human Factors and Ergonomics Evaluation of Gesture Interfaces",
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.",
keywords = "Human factors and ergonomics, gesture interfaces, digital human model, virtual prototyping",
author = "Susanna Aromaa and Nikos Frangakis and Domenico Tedone and Juhani Viitaniemi and Iina Aaltonen",
year = "2018",
month = "6",
day = "1",
doi = "10.1145/3229088",
language = "English",
volume = "2",
journal = "Proceedings of the ACM on Human-Computer Interaction",
issn = "2573-0142",
publisher = "Association for Computing Machinery ACM",
number = "EICS",

}

Digital Human Models in Human Factors and Ergonomics Evaluation of Gesture Interfaces. / Aromaa, Susanna; Frangakis, Nikos; Tedone, Domenico; Viitaniemi, Juhani; Aaltonen, Iina.

In: Proceedings of the ACM on Human-Computer Interaction, Vol. 2, No. EICS, 6, 01.06.2018.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Digital Human Models in Human Factors and Ergonomics Evaluation of Gesture Interfaces

AU - Aromaa, Susanna

AU - Frangakis, Nikos

AU - Tedone, Domenico

AU - Viitaniemi, Juhani

AU - Aaltonen, Iina

PY - 2018/6/1

Y1 - 2018/6/1

N2 - 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.

AB - 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.

KW - Human factors and ergonomics

KW - gesture interfaces

KW - digital human model

KW - virtual prototyping

UR - http://www.scopus.com/inward/record.url?scp=85066422767&partnerID=8YFLogxK

U2 - 10.1145/3229088

DO - 10.1145/3229088

M3 - Article

VL - 2

JO - Proceedings of the ACM on Human-Computer Interaction

JF - Proceedings of the ACM on Human-Computer Interaction

SN - 2573-0142

IS - EICS

M1 - 6

ER -