Optimizing the Use of the Sentence Completion Survey Technique in User Research: A Case Study on the Experience of E-Reading

Carine Lallemand; Emeline Mercier

doi:10.1145/3491102.3517718

Optimizing the Use of the Sentence Completion Survey Technique in User Research: A Case Study on the Experience of E-Reading

Carine Lallemand
, Emeline Mercier

EAISI Health

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

10 Citations (Scopus)

7 Downloads (Pure)

Abstract

Sentence completion, originally a semi-projective psychological technique, has been used as an effective and lightweight user research method in 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.

Original language	English
Title of host publication	CHI '22
Subtitle of host publication	Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Editors	Simone Barbosa, Cliff Lampe, Caroline Appert, David A. Shamma, Steven Drucker, Julie Williamson, Koji Yatani
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc.
Number of pages	18
ISBN (Electronic)	978-1-4503-9157-3
DOIs	https://doi.org/10.1145/3491102.3517718
Publication status	Published - 29 Apr 2022
Event	2022 Conference on Human Factors in Computing Systems, CHI 2022 - Virtual, Online, United States Duration: 30 Apr 2022 → 5 May 2022

Conference

Conference	2022 Conference on Human Factors in Computing Systems, CHI 2022
Country/Territory	United States
City	Virtual, Online
Period	30/04/22 → 5/05/22

Keywords

e-reading
online survey
sentence completion
user experience
user research method

Access to Document

10.1145/3491102.3517718

pdfFinal published version, 760 KBLicence: CC BY-NC

Cite this

Lallemand, C., & Mercier, E. (2022). Optimizing the Use of the Sentence Completion Survey Technique in User Research: A Case Study on the Experience of E-Reading. In S. Barbosa, C. Lampe, C. Appert, D. A. Shamma, S. Drucker, J. Williamson, & K. Yatani (Eds.), CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems Article 319 Association for Computing Machinery, Inc.. https://doi.org/10.1145/3491102.3517718

Lallemand, Carine ; Mercier, Emeline. / Optimizing the Use of the Sentence Completion Survey Technique in User Research : A Case Study on the Experience of E-Reading. CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. editor / Simone Barbosa ; Cliff Lampe ; Caroline Appert ; David A. Shamma ; Steven Drucker ; Julie Williamson ; Koji Yatani. New York : Association for Computing Machinery, Inc., 2022.

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title = "Optimizing the Use of the Sentence Completion Survey Technique in User Research: A Case Study on the Experience of E-Reading",

abstract = "Sentence completion, originally a semi-projective psychological technique, has been used as an effective and lightweight user research method in 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.",

keywords = "e-reading, online survey, sentence completion, user experience, user research method",

author = "Carine Lallemand and Emeline Mercier",

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booktitle = "CHI '22",

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Lallemand, C & Mercier, E 2022, Optimizing the Use of the Sentence Completion Survey Technique in User Research: A Case Study on the Experience of E-Reading. in S Barbosa, C Lampe, C Appert, DA Shamma, S Drucker, J Williamson & K Yatani (eds), CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems., 319, Association for Computing Machinery, Inc., New York, 2022 Conference on Human Factors in Computing Systems, CHI 2022, Virtual, Online, United States, 30/04/22. https://doi.org/10.1145/3491102.3517718

Optimizing the Use of the Sentence Completion Survey Technique in User Research: A Case Study on the Experience of E-Reading. / Lallemand, Carine; Mercier, Emeline.
CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. ed. / Simone Barbosa; Cliff Lampe; Caroline Appert; David A. Shamma; Steven Drucker; Julie Williamson; Koji Yatani. New York: Association for Computing Machinery, Inc., 2022. 319.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Optimizing the Use of the Sentence Completion Survey Technique in User Research

T2 - 2022 Conference on Human Factors in Computing Systems, CHI 2022

AU - Lallemand, Carine

AU - Mercier, Emeline

PY - 2022/4/29

Y1 - 2022/4/29

N2 - Sentence completion, originally a semi-projective psychological technique, has been used as an effective and lightweight user research method in 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.

AB - Sentence completion, originally a semi-projective psychological technique, has been used as an effective and lightweight user research method in 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.

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KW - online survey

KW - sentence completion

KW - user experience

KW - user research method

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A2 - Lampe, Cliff

A2 - Appert, Caroline

A2 - Shamma, David A.

A2 - Drucker, Steven

A2 - Williamson, Julie

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PB - Association for Computing Machinery, Inc.

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ER -

Lallemand C, Mercier E. Optimizing the Use of the Sentence Completion Survey Technique in User Research: A Case Study on the Experience of E-Reading. In Barbosa S, Lampe C, Appert C, Shamma DA, Drucker S, Williamson J, Yatani K, editors, CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery, Inc. 2022. 319 doi: 10.1145/3491102.3517718

Optimizing the Use of the Sentence Completion Survey Technique in User Research: A Case Study on the Experience of E-Reading

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