Simple Mouse Attribute Analysis
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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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. Hrsg. / Fiona Fui-Hoon Nah; Keng Siau. Band 2 Cham: Springer, 2019. S. 95-113 (Lecture Notes in Computer Science; Band 11589).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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}
RIS
TY - CHAP
T1 - Simple Mouse Attribute Analysis
AU - Matthiesen, Jennifer
AU - Holte, Michael B.
N1 - Conference code: 6
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - ECM
KW - HCI
KW - Mouse attributes
KW - Mouse behaviour patterns
KW - Satisfaction
KW - Usability
KW - Informatics
KW - Business informatics
UR - http://www.scopus.com/inward/record.url?scp=85069867572&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-22338-0_8
DO - 10.1007/978-3-030-22338-0_8
M3 - Article in conference proceedings
SN - 978-3-030-22337-3
VL - 2
T3 - Lecture Notes in Computer Science
SP - 95
EP - 113
BT - HCI in Business, Government and Organizations. Information Systems and Analytics
A2 - Fui-Hoon Nah, Fiona
A2 - Siau, Keng
PB - Springer
CY - Cham
T2 - HCIBGO: 6th International Conference on HCI in Business, Government and Organizations under HCI International 2019
Y2 - 26 July 2019 through 30 July 2019
ER -