Back to Search Start Over

Imagining the Future of Longitudinal HCI Studies

Authors :
Karahanoglu, Armagan
Ludden, Geke D.S.
Karapanos, Evangelos
Gerken, Jens
Kjeldskov, Jesper
Skov, Mikael B.
Interaction Design
Source :
Advances in Longitudinal HCI Research, 101-120, STARTPAGE=101;ENDPAGE=120;TITLE=Advances in Longitudinal HCI Research, Human–Computer Interaction Series ISBN: 9783030673215
Publication Year :
2021

Abstract

Automated data collection has a significant role in collecting reliable longitudinal data in human–computer interaction (HCI) studies that involve human participants. While objective data collection can be obtained by and mediated through personal informatics, subjective data is mostly collected through labour-intensive tools. The potential of sensor-embedded everyday objects as subjective data collection tools is underexplored. Hence, in this chapter, we investigate the use of such products for subjective data collection purposes in longitudinal studies. First, we demonstrate current practices on subjective data collection tools and examine the aforementioned research gap. Following that, we discuss the results of three discussion sessions in which we collected insights from six expert researchers on the enablers and barriers of using sensor-embedded everyday objects as subjective data collection tools. We present our insights with use-case scenarios to communicate what possible roles sensor-embedded everyday objects could have in collecting subjective data in future longitudinal HCI studies and discuss how they could be further developed within the field.

Details

Language :
English
ISBN :
978-3-030-67321-5
ISSN :
15715035
ISBNs :
9783030673215
Database :
OpenAIRE
Journal :
Advances in Longitudinal HCI Research
Accession number :
edsair.doi.dedup.....6991490ec5996f47073afa6516500832
Full Text :
https://doi.org/10.1007/978-3-030-67322-2_6