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Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
12.10.2021
Verantwortlich:
Schölkopf, Lasse
Autorinnen / Autoren:
Schölkopf, Lasse ; Gatto von der Heyde, Camilla ; Diermeyer, Frank
Institutionszugehörigkeit:
TUM
Herausgeber:
TUM
Titel:
Survey Data from 75 Truck Drivers on their Mental Models of adaptive interfaces
Identifikator:
doi:10.14459/2021mp1631619
Enddatum der Datenerzeugung:
01.10.2021
Fachgebiet:
DAT Datenverarbeitung, Informatik; PSY Psychologie
Quellen der Daten:
Experimente und Beobachtungen / experiments and observations; Umfragen und Interviews / surveys and interviews; Statistik und Referenzdaten / statistics and reference data
Datentyp:
Texte / texts; Tabellen / tables
Methode der Datenerhebung:
Online Survey
Beschreibung:
This data repository contains a dataset of answers for a questionnaire on mental models with 37 items. The data was aquired in 2021 and contains answers of 75 german truck drivers, which filled out the survey after watching a brief explanation of the system. The dataset therefore represents the initial mental model of the drivers before any interaction with the system. The corresponding mean values for each scale are calculated for each individual participant. The values range from 1 (not true...     »
Schlagworte:
Human Factors Engineering, Mental Model, Questionnaire Construction, Truck Drivers, Adaptive Interface, User Study
Technische Hinweise:
View and download (19,5 KB total, 3 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1631619):
rsync rsync://m1631619@dataserv.ub.tum.de/m1631619/
Sprache:
de
Rechte:
by, http://creativecommons.org/licenses/by/4.0
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