The influence of sociodemographic and technology-associated factors on stress from human interaction with electric vehicle information systems

Ilja Nastjuk, Simon Trang, Lutz Maria Kolbe

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)

Abstract

The purpose of this study is to examine the influence of technology-associated and sociodemographic factors on perceived stress resulting from human interaction with electric vehicle information systems. Referring to the transactional stress model of Lazarus and Folkman (1984), we propose a research model to determine the impact of technical affinity, familiarity with electric vehicles, experience with electric vehicle information systems, age, gender, and education on perceived electric vehicle information systems-related stress. We tested our conceptual model using data from a web-based questionnaire, incorporating responses from 225 participants. Using partial least squares structural equation modeling (PLS-SEM), our results demonstrate that the associations between perceived electric vehicle information systems-related stress and affinity for technology, experience with electric vehicle information systems, and education are negative and significant, while that with age is positive and significant.

Original languageEnglish
Title of host publication2015 Americas Conference on Information Systems, AMCIS 2015
Place of PublicationAtlanta, GA
PublisherAmericas Conference on Information Systems
Pages1-14
Number of pages14
ISBN (Electronic)9780996683104
Publication statusPublished - 2015
Externally publishedYes
Event21st Americas Conference on Information Systems, AMCIS 2015 - Fajardo, Puerto Rico
Duration: 13 Aug 201515 Aug 2015

Other

Other21st Americas Conference on Information Systems, AMCIS 2015
Country/TerritoryPuerto Rico
CityFajardo
Period13/08/1515/08/15

Keywords

  • Assistance systems
  • Electric vehicles
  • Human-computer interaction
  • In-vehicle information systems
  • Stress
  • Technostress

Fingerprint

Dive into the research topics of 'The influence of sociodemographic and technology-associated factors on stress from human interaction with electric vehicle information systems'. Together they form a unique fingerprint.

Cite this