@inproceedings{2bca9e8565004a6bb4463232358a9288,
title = "Exploring the Learnability of Assembly Tasks Using Digital Work Instructions in a Smart Factory",
abstract = "The trend towards individualized products leads to increased product variants and on-demand manufacturing. Assembly workers have to cope with constantly changing work instructions without impacting production speed. This paper explores the learnability of assembly tasks. A user study with transfer and 24h delayed retention tests compares how effectively assembly tasks can be learned using 1) an assistance system with digital work instructions and 2) paper-based work instructions. The results help to derive better structured work instructions and general recommendations for the design of assistance systems in the context of manual assembly.",
keywords = "assistive systems, learnability, manual assembly, work instructions",
author = "Sebastian Pimminger and Kurschl, {Werner Christian} and Lisa Panholzer and Johannes Sch{\"o}nb{\"o}ck",
note = "Funding Information: Our work has been conducted within the scope of the project Human-Centered Workplace 4 Industry (HCW4i), funded by the Austrian Research Promotion Agency within the 6th COIN - Cooperation and Innovation programme under grant agreement nr. 856362. Publisher Copyright: {\textcopyright} 2021 The Author(s).",
year = "2021",
doi = "10.1016/j.procir.2021.11.117",
language = "English",
volume = "104",
series = "Procedia CIRP",
publisher = "Elsevier",
pages = "696 -- 701",
booktitle = "54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0",
}