First Eyetracking Results of Dutch CoronaMelder Contact Tracing and Notification App

Jan Willem Jaap Roderick van 't Klooster; Peter Jan Hendrik Slijkhuis; Joris van Gend; Britt Bente; Lisette van Gemert-Pijnen

doi:10.1007/978-3-030-68452-5_21

First Eyetracking Results of Dutch CoronaMelder Contact Tracing and Notification App

Jan Willem Jaap Roderick van 't Klooster^*, Peter Jan Hendrik Slijkhuis, Joris van Gend, Britt Bente, Lisette van Gemert-Pijnen

^*Corresponding author for this work

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

5 Citations (Scopus)

370 Downloads (Pure)

Abstract

The coronavirus disease (COVID-19) has led to a global pandemic. Many countries are using contact tracing as one of the interventions to control virus transmission. In conventional contact tracing, index cases with positive test results are asked to provide contact information of close contacts who were at risk of acquiring infection from the index case, within a given time period before the positive test result. Mobile contact tracing apps can augment traditional contact tracing, as they exchange contact information wirelessly and semi-automatically, and allow for quicker warning of at-risk contacts. However, little is known about user acceptance and perception of such contact tracing apps, or how people perceive the advice presented therein. In July 2020, the beta version of the official Dutch corona notification app was usability tested with participants from various age groups. This paper presents the results of the objective eye tracking measurements executed during these usability tests. The results show that both health and process related information is easily overlooked in the app by participants. A closed-loop contact with the builders of the app allowed for a direct feedback channel and quick improvements during the development stage.

Original language	English
Title of host publication	Intelligent Human Computer Interaction
Subtitle of host publication	12th International Conference, IHCI 2020, Daegu, South Korea, November 24–26, 2020, Proceedings, Part II
Editors	Madhusudan Singh, Dae-Ki Kang, Jong-Ha Lee, Uma Shanker Tiwary, Dhananjay Singh, Wan-Young Chung
Place of Publication	Cham
Publisher	Springer
Pages	199-207
Number of pages	9
ISBN (Electronic)	978-3-030-68452-5
ISBN (Print)	978-3-030-68451-8
DOIs	https://doi.org/10.1007/978-3-030-68452-5_21
Publication status	Published - Jan 2021
Event	12th International Conference on Intelligent Human Computer Interaction, IHCI 2020 - Daegu, Korea, Republic of Duration: 24 Nov 2020 → 26 Nov 2020 Conference number: 12

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	12616
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th International Conference on Intelligent Human Computer Interaction, IHCI 2020
Abbreviated title	IHCI
Country/Territory	Korea, Republic of
City	Daegu
Period	24/11/20 → 26/11/20

Keywords

Contact tracing app
COVID-19
Eyetracking

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-68452-5_21

VantKlooster2021firstProof, 3.39 MB

Cite this

van 't Klooster, J. W. J. R., Slijkhuis, P. J. H., van Gend, J., Bente, B., & van Gemert-Pijnen, L. (2021). First Eyetracking Results of Dutch CoronaMelder Contact Tracing and Notification App. In M. Singh, D.-K. Kang, J.-H. Lee, U. S. Tiwary, D. Singh, & W.-Y. Chung (Eds.), Intelligent Human Computer Interaction: 12th International Conference, IHCI 2020, Daegu, South Korea, November 24–26, 2020, Proceedings, Part II (pp. 199-207). (Lecture Notes in Computer Science; Vol. 12616). Springer. https://doi.org/10.1007/978-3-030-68452-5_21

van 't Klooster, Jan Willem Jaap Roderick ; Slijkhuis, Peter Jan Hendrik ; van Gend, Joris et al. / First Eyetracking Results of Dutch CoronaMelder Contact Tracing and Notification App. Intelligent Human Computer Interaction: 12th International Conference, IHCI 2020, Daegu, South Korea, November 24–26, 2020, Proceedings, Part II. editor / Madhusudan Singh ; Dae-Ki Kang ; Jong-Ha Lee ; Uma Shanker Tiwary ; Dhananjay Singh ; Wan-Young Chung. Cham : Springer, 2021. pp. 199-207 (Lecture Notes in Computer Science).

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title = "First Eyetracking Results of Dutch CoronaMelder Contact Tracing and Notification App",

abstract = "The coronavirus disease (COVID-19) has led to a global pandemic. Many countries are using contact tracing as one of the interventions to control virus transmission. In conventional contact tracing, index cases with positive test results are asked to provide contact information of close contacts who were at risk of acquiring infection from the index case, within a given time period before the positive test result. Mobile contact tracing apps can augment traditional contact tracing, as they exchange contact information wirelessly and semi-automatically, and allow for quicker warning of at-risk contacts. However, little is known about user acceptance and perception of such contact tracing apps, or how people perceive the advice presented therein. In July 2020, the beta version of the official Dutch corona notification app was usability tested with participants from various age groups. This paper presents the results of the objective eye tracking measurements executed during these usability tests. The results show that both health and process related information is easily overlooked in the app by participants. A closed-loop contact with the builders of the app allowed for a direct feedback channel and quick improvements during the development stage.",

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series = "Lecture Notes in Computer Science",

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note = "12th International Conference on Intelligent Human Computer Interaction, IHCI 2020<br/>, IHCI ; Conference date: 24-11-2020 Through 26-11-2020",

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van 't Klooster, JWJR , Slijkhuis, PJH, van Gend, J, Bente, B & van Gemert-Pijnen, L 2021, First Eyetracking Results of Dutch CoronaMelder Contact Tracing and Notification App. in M Singh, D-K Kang, J-H Lee, US Tiwary, D Singh & W-Y Chung (eds), Intelligent Human Computer Interaction: 12th International Conference, IHCI 2020, Daegu, South Korea, November 24–26, 2020, Proceedings, Part II. Lecture Notes in Computer Science, vol. 12616, Springer, Cham, pp. 199-207, 12th International Conference on Intelligent Human Computer Interaction, IHCI 2020
, Daegu, Korea, Republic of, 24/11/20. https://doi.org/10.1007/978-3-030-68452-5_21

First Eyetracking Results of Dutch CoronaMelder Contact Tracing and Notification App. / van 't Klooster, Jan Willem Jaap Roderick ; Slijkhuis, Peter Jan Hendrik; van Gend, Joris et al.
Intelligent Human Computer Interaction: 12th International Conference, IHCI 2020, Daegu, South Korea, November 24–26, 2020, Proceedings, Part II. ed. / Madhusudan Singh; Dae-Ki Kang; Jong-Ha Lee; Uma Shanker Tiwary; Dhananjay Singh; Wan-Young Chung. Cham: Springer, 2021. p. 199-207 (Lecture Notes in Computer Science; Vol. 12616).

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

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T1 - First Eyetracking Results of Dutch CoronaMelder Contact Tracing and Notification App

AU - van 't Klooster, Jan Willem Jaap Roderick

AU - Slijkhuis, Peter Jan Hendrik

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AU - Bente, Britt

AU - van Gemert-Pijnen, Lisette

N1 - Conference code: 12

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N2 - The coronavirus disease (COVID-19) has led to a global pandemic. Many countries are using contact tracing as one of the interventions to control virus transmission. In conventional contact tracing, index cases with positive test results are asked to provide contact information of close contacts who were at risk of acquiring infection from the index case, within a given time period before the positive test result. Mobile contact tracing apps can augment traditional contact tracing, as they exchange contact information wirelessly and semi-automatically, and allow for quicker warning of at-risk contacts. However, little is known about user acceptance and perception of such contact tracing apps, or how people perceive the advice presented therein. In July 2020, the beta version of the official Dutch corona notification app was usability tested with participants from various age groups. This paper presents the results of the objective eye tracking measurements executed during these usability tests. The results show that both health and process related information is easily overlooked in the app by participants. A closed-loop contact with the builders of the app allowed for a direct feedback channel and quick improvements during the development stage.

AB - The coronavirus disease (COVID-19) has led to a global pandemic. Many countries are using contact tracing as one of the interventions to control virus transmission. In conventional contact tracing, index cases with positive test results are asked to provide contact information of close contacts who were at risk of acquiring infection from the index case, within a given time period before the positive test result. Mobile contact tracing apps can augment traditional contact tracing, as they exchange contact information wirelessly and semi-automatically, and allow for quicker warning of at-risk contacts. However, little is known about user acceptance and perception of such contact tracing apps, or how people perceive the advice presented therein. In July 2020, the beta version of the official Dutch corona notification app was usability tested with participants from various age groups. This paper presents the results of the objective eye tracking measurements executed during these usability tests. The results show that both health and process related information is easily overlooked in the app by participants. A closed-loop contact with the builders of the app allowed for a direct feedback channel and quick improvements during the development stage.

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A2 - Chung, Wan-Young

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van 't Klooster JWJR , Slijkhuis PJH, van Gend J, Bente B , van Gemert-Pijnen L. First Eyetracking Results of Dutch CoronaMelder Contact Tracing and Notification App. In Singh M, Kang DK, Lee JH, Tiwary US, Singh D, Chung WY, editors, Intelligent Human Computer Interaction: 12th International Conference, IHCI 2020, Daegu, South Korea, November 24–26, 2020, Proceedings, Part II. Cham: Springer. 2021. p. 199-207. (Lecture Notes in Computer Science). doi: 10.1007/978-3-030-68452-5_21

First Eyetracking Results of Dutch CoronaMelder Contact Tracing and Notification App

Abstract

Publication series

Conference

Keywords

UN SDGs

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