Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-26013
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Reijnen, Ester | - |
dc.contributor.author | Laasner Vogt, Lea | - |
dc.contributor.author | Fiechter, Jan P. | - |
dc.contributor.author | Kühne, Swen J. | - |
dc.contributor.author | Meister, Nadine | - |
dc.contributor.author | Venzin, Claudio | - |
dc.contributor.author | Aebersold, Raphael | - |
dc.date.accessioned | 2022-11-11T10:41:12Z | - |
dc.date.available | 2022-11-11T10:41:12Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 0003-6870 | de_CH |
dc.identifier.issn | 1872-9126 | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/26013 | - |
dc.description.abstract | Two types of newly designed pharmaceutical pictograms (with and without context) were compared with an existing type of certified pictograms regarding their search efficiency. Each of the 30 participants had to search a total of 1'090 "fictitious" medical shelves for a certain box defined by the amount and type of medical instructions given (memory size) and presented among a variable number of other boxes (set size). The boxes contained the different types of pictograms mentioned above. Calculated factorial analyses on reaction time data, among others, showed that the two newly designed pictogram types make search more efficient compared to existing types of pictograms (i.e., flatter reaction time x set size slopes). Furthermore, regardless of the type of pictogram, this set size effect became more pronounced with larger memory sizes. Overall, the newly designed pictograms need fewer attentional resources and therefore might help to increase patient adherence. | de_CH |
dc.language.iso | en | de_CH |
dc.publisher | Elsevier | de_CH |
dc.relation.ispartof | Applied Ergonomics | de_CH |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0/ | de_CH |
dc.subject | Medical instruction | de_CH |
dc.subject | Pharmaceutical pictogram system | de_CH |
dc.subject | Search efficiency | de_CH |
dc.subject | Human | de_CH |
dc.subject | Medication adherence | de_CH |
dc.subject | Reaction time | de_CH |
dc.subject | Education, Medical | de_CH |
dc.subject | Health literacy | de_CH |
dc.subject.ddc | 150: Psychologie | de_CH |
dc.title | Well-designed medical pictograms accelerate search | de_CH |
dc.type | Beitrag in wissenschaftlicher Zeitschrift | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | Angewandte Psychologie | de_CH |
zhaw.organisationalunit | Psychologisches Institut (PI) | de_CH |
dc.identifier.doi | 10.1016/j.apergo.2022.103799 | de_CH |
dc.identifier.doi | 10.21256/zhaw-26013 | - |
dc.identifier.pmid | 35588557 | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.issue | 103799 | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.publication.status | publishedVersion | de_CH |
zhaw.volume | 103 | de_CH |
zhaw.publication.review | Peer review (Publikation) | de_CH |
zhaw.webfeed | PI - Umwelt- und Nachhaltigkeitspsychologie | de_CH |
zhaw.webfeed | Angewandte Kognitionspsychologie | de_CH |
zhaw.author.additional | No | de_CH |
zhaw.display.portrait | Yes | de_CH |
Appears in collections: | Publikationen Angewandte Psychologie |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2022_Reijnen-etal_Well-designed-medical-pictograms-accelerate-search_ApplErgonomics.pdf | 2.94 MB | Adobe PDF | View/Open |
Show simple item record
Reijnen, E., Laasner Vogt, L., Fiechter, J. P., Kühne, S. J., Meister, N., Venzin, C., & Aebersold, R. (2022). Well-designed medical pictograms accelerate search. Applied Ergonomics, 103(103799). https://doi.org/10.1016/j.apergo.2022.103799
Reijnen, E. et al. (2022) ‘Well-designed medical pictograms accelerate search’, Applied Ergonomics, 103(103799). Available at: https://doi.org/10.1016/j.apergo.2022.103799.
E. Reijnen et al., “Well-designed medical pictograms accelerate search,” Applied Ergonomics, vol. 103, no. 103799, 2022, doi: 10.1016/j.apergo.2022.103799.
REIJNEN, Ester, Lea LAASNER VOGT, Jan P. FIECHTER, Swen J. KÜHNE, Nadine MEISTER, Claudio VENZIN und Raphael AEBERSOLD, 2022. Well-designed medical pictograms accelerate search. Applied Ergonomics. 2022. Bd. 103, Nr. 103799. DOI 10.1016/j.apergo.2022.103799
Reijnen, Ester, Lea Laasner Vogt, Jan P. Fiechter, Swen J. Kühne, Nadine Meister, Claudio Venzin, and Raphael Aebersold. 2022. “Well-Designed Medical Pictograms Accelerate Search.” Applied Ergonomics 103 (103799). https://doi.org/10.1016/j.apergo.2022.103799.
Reijnen, Ester, et al. “Well-Designed Medical Pictograms Accelerate Search.” Applied Ergonomics, vol. 103, no. 103799, 2022, https://doi.org/10.1016/j.apergo.2022.103799.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.