Data logging: Higher-level capturing and multi-level abstracting of user activities

Jim Helms; Dennis C. Neale; Philip L. Isenhour; John M. Carroll

doi:10.1177/154193120004400202

Data logging: Higher-level capturing and multi-level abstracting of user activities

Jim Helms
, Dennis C. Neale
, Philip L. Isenhour
, John M. Carroll

College of Information Sciences and Technology

Research output: Contribution to conference › Paper › peer-review

5 Scopus citations

Abstract

Data logging has been a standard, but under utilized, software evaluation technique for single-user systems. Large volumes of objective data can be collected automatically and unobtrusively. This data, however, is usually in the form of low-level system events, making it difficult to analyze and interpret meaningfully. In this paper we extend traditional logging approaches to collaborative multi-user (groupware) systems. We also show how data captured at a higher level of abstraction can characterize user-system interaction more meaningfully. Lastly, we show how higher-level data abstracted from logging can be more effectively combined with data from other usability methods.

Original language	English (US)
Pages	303-306
Number of pages	4
DOIs	https://doi.org/10.1177/154193120004400202
State	Published - 2000
Event	Proceedings of the XIVth Triennial Congress of the International Ergonomics Association and 44th Annual Meeting of the Human Factors and Ergonomics Association, 'Ergonomics for the New Millennnium' - San Diego, CA, United States Duration: Jul 29 2000 → Aug 4 2000

Other

Other	Proceedings of the XIVth Triennial Congress of the International Ergonomics Association and 44th Annual Meeting of the Human Factors and Ergonomics Association, 'Ergonomics for the New Millennnium'
Country/Territory	United States
City	San Diego, CA
Period	7/29/00 → 8/4/00

All Science Journal Classification (ASJC) codes

Human Factors and Ergonomics

Access to Document

10.1177/154193120004400202

Cite this

Helms, J., Neale, D. C., Isenhour, P. L., & Carroll, J. M. (2000). Data logging: Higher-level capturing and multi-level abstracting of user activities. 303-306. Paper presented at Proceedings of the XIVth Triennial Congress of the International Ergonomics Association and 44th Annual Meeting of the Human Factors and Ergonomics Association, 'Ergonomics for the New Millennnium', San Diego, CA, United States. https://doi.org/10.1177/154193120004400202

Helms, Jim ; Neale, Dennis C. ; Isenhour, Philip L. et al. / Data logging : Higher-level capturing and multi-level abstracting of user activities. Paper presented at Proceedings of the XIVth Triennial Congress of the International Ergonomics Association and 44th Annual Meeting of the Human Factors and Ergonomics Association, 'Ergonomics for the New Millennnium', San Diego, CA, United States.4 p.

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abstract = "Data logging has been a standard, but under utilized, software evaluation technique for single-user systems. Large volumes of objective data can be collected automatically and unobtrusively. This data, however, is usually in the form of low-level system events, making it difficult to analyze and interpret meaningfully. In this paper we extend traditional logging approaches to collaborative multi-user (groupware) systems. We also show how data captured at a higher level of abstraction can characterize user-system interaction more meaningfully. Lastly, we show how higher-level data abstracted from logging can be more effectively combined with data from other usability methods.",

author = "Jim Helms and Neale, \{Dennis C.\} and Isenhour, \{Philip L.\} and Carroll, \{John M.\}",

year = "2000",

doi = "10.1177/154193120004400202",

language = "English (US)",

pages = "303--306",

note = "Proceedings of the XIVth Triennial Congress of the International Ergonomics Association and 44th Annual Meeting of the Human Factors and Ergonomics Association, 'Ergonomics for the New Millennnium' ; Conference date: 29-07-2000 Through 04-08-2000",

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Helms, J, Neale, DC, Isenhour, PL & Carroll, JM 2000, 'Data logging: Higher-level capturing and multi-level abstracting of user activities', Paper presented at Proceedings of the XIVth Triennial Congress of the International Ergonomics Association and 44th Annual Meeting of the Human Factors and Ergonomics Association, 'Ergonomics for the New Millennnium', San Diego, CA, United States, 7/29/00 - 8/4/00 pp. 303-306. https://doi.org/10.1177/154193120004400202

Data logging: Higher-level capturing and multi-level abstracting of user activities. / Helms, Jim; Neale, Dennis C.; Isenhour, Philip L. et al.
2000. 303-306 Paper presented at Proceedings of the XIVth Triennial Congress of the International Ergonomics Association and 44th Annual Meeting of the Human Factors and Ergonomics Association, 'Ergonomics for the New Millennnium', San Diego, CA, United States.

Research output: Contribution to conference › Paper › peer-review

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AU - Carroll, John M.

PY - 2000

Y1 - 2000

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Y2 - 29 July 2000 through 4 August 2000

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Helms J, Neale DC, Isenhour PL, Carroll JM. Data logging: Higher-level capturing and multi-level abstracting of user activities. 2000. Paper presented at Proceedings of the XIVth Triennial Congress of the International Ergonomics Association and 44th Annual Meeting of the Human Factors and Ergonomics Association, 'Ergonomics for the New Millennnium', San Diego, CA, United States. doi: 10.1177/154193120004400202

Data logging: Higher-level capturing and multi-level abstracting of user activities

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