Simple Mouse Attribute Analysis

Jennifer Matthiesen, Michael Boelstoft Holte

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

This work investigates the potential bivariate correlations between selected pattern related mouse attributes and a set of factors for the determination of the satisfaction with the usability. To examine this, a prototype tool for the analyzation and characterization of mouse attributes, Simple Mouse Attribute Analysis (SMATA), within the usage of a cloud-based vertical business software solution for managing soft data, was designed and implemented. A questionnaire was conducted to evaluate the users’ satisfaction with the usability. Following, the potential correlation between those properties was investigated. The findings revealed several statistically significant correlations between the factors of satisfaction with the usability and the examined mouse attributes. Mouse attributes like the number of direct movement, the number of long direct movements, the number of made pauses, as well as the covered distance and the total time of the session could be associated with the perception of the system usefulness, the information and interface quality and the overall impression. The objective of this study was to point out a new interesting research direction of using implicit gathered user data from one of the default communication channels in HCI: the computer mouse.
OriginalsprogEngelsk
TitelHCI in Business, Government and Organizations. Information Systems and Analytics : 6th International Conference, HCIBGO 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26-31, 2019, Proceedings, Part II
RedaktørerFiona Fui-Hoon Nah, Keng Siau
Antal sider19
ForlagSpringer
Publikationsdato2019
Sider95-113
ISBN (Trykt)978-3-030-22337-3
ISBN (Elektronisk)978-3-030-22338-0
DOI
StatusUdgivet - 2019
BegivenhedHCIBGO: 6th International Conference on HCI in Business, Government and Organizations under HCI International 2019 - Orlando, USA
Varighed: 26 jul. 201931 jul. 2019
http://2019.hci.international

Konference

KonferenceHCIBGO: 6th International Conference on HCI in Business, Government and Organizations under HCI International 2019
LandUSA
ByOrlando
Periode26/07/201931/07/2019
Internetadresse
NavnLecture Notes in Computer Science
Vol/bind11589
ISSN0302-9743

Fingerprint

Human computer interaction
Industry

Citer dette

Matthiesen, J., & Holte, M. B. (2019). Simple Mouse Attribute Analysis. I F. F-H. Nah, & K. Siau (red.), HCI in Business, Government and Organizations. Information Systems and Analytics : 6th International Conference, HCIBGO 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26-31, 2019, Proceedings, Part II (s. 95-113). Springer. Lecture Notes in Computer Science, Bind. 11589 https://doi.org/10.1007/978-3-030-22338-0_8
Matthiesen, Jennifer ; Holte, Michael Boelstoft. / Simple Mouse Attribute Analysis. HCI in Business, Government and Organizations. Information Systems and Analytics : 6th International Conference, HCIBGO 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26-31, 2019, Proceedings, Part II. red. / Fiona Fui-Hoon Nah ; Keng Siau. Springer, 2019. s. 95-113 (Lecture Notes in Computer Science, Bind 11589).
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title = "Simple Mouse Attribute Analysis",
abstract = "This work investigates the potential bivariate correlations between selected pattern related mouse attributes and a set of factors for the determination of the satisfaction with the usability. To examine this, a prototype tool for the analyzation and characterization of mouse attributes, Simple Mouse Attribute Analysis (SMATA), within the usage of a cloud-based vertical business software solution for managing soft data, was designed and implemented. A questionnaire was conducted to evaluate the users’ satisfaction with the usability. Following, the potential correlation between those properties was investigated. The findings revealed several statistically significant correlations between the factors of satisfaction with the usability and the examined mouse attributes. Mouse attributes like the number of direct movement, the number of long direct movements, the number of made pauses, as well as the covered distance and the total time of the session could be associated with the perception of the system usefulness, the information and interface quality and the overall impression. The objective of this study was to point out a new interesting research direction of using implicit gathered user data from one of the default communication channels in HCI: the computer mouse.",
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Matthiesen, J & Holte, MB 2019, Simple Mouse Attribute Analysis. i FF-H Nah & K Siau (red), HCI in Business, Government and Organizations. Information Systems and Analytics : 6th International Conference, HCIBGO 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26-31, 2019, Proceedings, Part II. Springer, Lecture Notes in Computer Science, bind 11589, s. 95-113, HCIBGO: 6th International Conference on HCI in Business, Government and Organizations under HCI International 2019, Orlando, USA, 26/07/2019. https://doi.org/10.1007/978-3-030-22338-0_8

Simple Mouse Attribute Analysis. / Matthiesen, Jennifer; Holte, Michael Boelstoft.

HCI in Business, Government and Organizations. Information Systems and Analytics : 6th International Conference, HCIBGO 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26-31, 2019, Proceedings, Part II. red. / Fiona Fui-Hoon Nah; Keng Siau. Springer, 2019. s. 95-113 (Lecture Notes in Computer Science, Bind 11589).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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Matthiesen J, Holte MB. Simple Mouse Attribute Analysis. I Nah FF-H, Siau K, red., HCI in Business, Government and Organizations. Information Systems and Analytics : 6th International Conference, HCIBGO 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26-31, 2019, Proceedings, Part II. Springer. 2019. s. 95-113. (Lecture Notes in Computer Science, Bind 11589). https://doi.org/10.1007/978-3-030-22338-0_8