Technostress causes cognitive overload in high-stress people: Eye tracking analysis in a virtual kiosk test
DC Field | Value | Language |
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dc.contributor.author | Kim, Se Young | - |
dc.contributor.author | Park, Hahyeon | - |
dc.contributor.author | Kim, Hongbum | - |
dc.contributor.author | Kim, Joon | - |
dc.contributor.author | Seo, Kyoungwon | - |
dc.date.accessioned | 2022-10-20T00:40:05Z | - |
dc.date.available | 2022-10-20T00:40:05Z | - |
dc.date.created | 2022-10-19 | - |
dc.date.issued | 2022-11 | - |
dc.identifier.issn | 0306-4573 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/85790 | - |
dc.description.abstract | In the midst of the COVID-19 pandemic, the use of non-face-to-face information and communi-cation technology (ICT) such as kiosks has increased. While kiosks are useful overall, those who do not adapt well to these technologies experience technostress. The two most serious tech-nostressors are inclusion and overload issues, which indicate a sense of inferiority due to a perceived inability to use ICT well and a sense of being overwhelmed by too much information, respectively. This study investigated the different effects of hybrid technostress-induced by both inclusion and overload issues-on the cognitive load among low-stress and high-stress people when using kiosks to complete daily life tasks. We developed a 'virtual kiosk test' to evaluate participants' cognitive load with eye tracking features and performance features when ordering burgers, sides, and drinks using the kiosk. Twelve low-stress participants and 13 high-stress participants performed the virtual kiosk test. As a result, regarding eye tracking features, high -stress participants generated a larger number of blinks, a longer scanpath length, a more distracted heatmap, and a more complex gaze plot than low-stress participants. Regarding per-formance features, high-stress participants took significantly longer to order and made more errors than low-stress participants. A support-vector machine (SVM) using both eye tracking features (i.e., number of blinks, scanpath length) and a performance feature (i.e., time to completion) best differentiated between low-stress and high-stress participants (89% accuracy, 100% sensitivity, 83.3% specificity, 75% precision, 85.7% F1 score). Overall, under technostress, high-stress participants experienced cognitive overload and consequently decreased performance; whereas, low-stress participants felt moderate arousal and improved performance. These varying effects of technostress can be interpreted through the Yerkes-Dodson law. Based on our findings, we proposed an adaptive interface, multimodal interaction, and virtual reality training as three implications for technostress relief in non-face-to-face ICT. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.relation.isPartOf | Information Processing and Management | - |
dc.title | Technostress causes cognitive overload in high-stress people: Eye tracking analysis in a virtual kiosk test | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000861188400004 | - |
dc.identifier.doi | 10.1016/j.ipm.2022.103093 | - |
dc.identifier.bibliographicCitation | Information Processing and Management, v.59, no.6 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85137617849 | - |
dc.citation.title | Information Processing and Management | - |
dc.citation.volume | 59 | - |
dc.citation.number | 6 | - |
dc.contributor.affiliatedAuthor | Kim, Hongbum | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Technostress | - |
dc.subject.keywordAuthor | Cognitive load | - |
dc.subject.keywordAuthor | Virtual reality | - |
dc.subject.keywordAuthor | Eye tracking | - |
dc.subject.keywordAuthor | Kiosk | - |
dc.subject.keywordPlus | SOCIAL MEDIA | - |
dc.subject.keywordPlus | LOAD | - |
dc.subject.keywordPlus | INFORMATION | - |
dc.subject.keywordPlus | LIFE | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Information Science & Library Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Information Science & Library Science | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
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