[en] Sentence completion, originally a semi-projective psychological technique, has been used as an effective and lightweight user research method in user experience (UX) design. More information is yet still needed to understand how different sentence stems probe users’ insights, thereby providing recommendations for effective sentence completion surveys. We used the completion method on a large-scale sample to explore (e-)readers’ experiences and needs. Depending on their reading habits, participants (N=1880) were asked to complete a set of sentences, as part of a web survey. With 14143 user ideas collected in two weeks, our results confirm that remote online sentence completion is a cost-effective data collection method able to uncover feelings, attitudes, motivations, needs, or frustrations. Variation in sentence stems affected collected data in terms of item response rate, idea quantity as well as variety and originality. Building on previous research, this paper delivers actionable insights to optimize the richness of sentence completion outputs.
Disciplines :
Sciences sociales & comportementales, psychologie: Multidisciplinaire, généralités & autres
Auteur, co-auteur :
LALLEMAND, Carine ; University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS)
Mercier, Emeline
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Optimizing the Use of the Sentence Completion Survey Technique in User Research – A Case Study on the Experience of E-Reading
Date de publication/diffusion :
avril 2022
Nom de la manifestation :
ACM CHI 2022 Conference on Human Factors in Computing Systems
Date de la manifestation :
From 30-04-2022 to 05-05-2022
Manifestation à portée :
International
Titre de l'ouvrage principal :
Proceeding of the CHI 2022 Conference on Human Factors in Computing Systems
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