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Simple Mouse Attribute Analysis

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Standard

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

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. ed. / Fiona Fui-Hoon Nah; Keng Siau. Vol. 2 Cham : Springer, 2019. p. 95-113 (Lecture Notes in Computer Science; Vol. 11589).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Harvard

Matthiesen, J & Holte, MB 2019, Simple Mouse Attribute Analysis. in F Fui-Hoon Nah & K Siau (eds), 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. vol. 2, Lecture Notes in Computer Science, vol. 11589, Springer, Cham, pp. 95-113, HCIBGO: 6th International Conference on HCI in Business, Government and Organizations under HCI International 2019, Orlando, Florida, United States, 26.07.19. https://doi.org/10.1007/978-3-030-22338-0_8

APA

Matthiesen, J., & Holte, M. B. (2019). Simple Mouse Attribute Analysis. In F. Fui-Hoon Nah, & K. Siau (Eds.), 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 (Vol. 2, pp. 95-113). (Lecture Notes in Computer Science; Vol. 11589). Springer. https://doi.org/10.1007/978-3-030-22338-0_8

Vancouver

Matthiesen J, Holte MB. Simple Mouse Attribute Analysis. In Fui-Hoon Nah F, Siau K, editors, 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. Vol. 2. Cham: Springer. 2019. p. 95-113. (Lecture Notes in Computer Science). doi: 10.1007/978-3-030-22338-0_8

Bibtex

@inbook{b04196745e7a42c0945d412949a88ce4,
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{\textquoteright} 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.",
keywords = "ECM, HCI, Mouse attributes, Mouse behaviour patterns, Satisfaction, Usability, Informatics, Business informatics",
author = "Jennifer Matthiesen and Holte, {Michael B.}",
year = "2019",
doi = "10.1007/978-3-030-22338-0_8",
language = "English",
isbn = "978-3-030-22337-3",
volume = "2",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "95--113",
editor = "{Fui-Hoon Nah}, Fiona and Keng Siau",
booktitle = "HCI in Business, Government and Organizations. Information Systems and Analytics",
address = "Germany",
note = "HCIBGO: 6th International Conference on HCI in Business, Government and Organizations under HCI International 2019, HCI International 2019 ; Conference date: 26-07-2019 Through 30-07-2019",
url = "https://hci.international/index.php?module=conference&CF_op=view&CF_id=30",

}

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 -

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Colley, M., Jansen, P., Matthiesen, J., Hoberg, H., Reger, C. & Thiermann, I., 20.09.2023, Proceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work, CHIWORK 2023. Boll, S., Cox, A., Ludwig, T. & Cecchinato, M. E. (eds.). New York: Association for Computing Machinery, Inc, 12 p. 8. (ACM International Conference Proceeding Series).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

User Authentication via Multifaceted Mouse Movements and Outlier Exposure

Matthiesen, J. J., Hastedt, H. & Brefeld, U., 01.04.2023, Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings. Crémilleux, B., Hess, S. & Nijssen, S. (eds.). Cham: Springer Nature Switzerland AG, p. 300-313 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13876 LNCS).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research

Assessing User Behavior by Mouse Movements

Matthiesen, J. J. & Brefeld, U., 2020, HCI International 2020 - Posters - : 22nd International Conference, HCII 2020, Proceedings. Stephanidis, C. & Antona, M. (eds.). Cham: Springer, p. 68-75 8 p. (Communications in Computer and Information Science; vol. 1224 CCIS).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

DOI