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H. Johnson

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Publication statistics

Pub. period:1993-2003
Pub. count:5
Number of co-authors:5

Co-authors

Number of publications with 3 favourite co-authors:

P. Johnson:3
P. J. Wild:1
E. O'Neill:1

Productive colleagues

H. Johnson's 3 most productive colleagues in number of publications:

P. Johnson:12
P. J. Wild:2
E. O'Neill:1

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May 27

13th Intl. Conf. on New Interfaces for Musical Expression

May 28

Graphics Interface 2013

May 29

Intl. Workshop on Design and Spontaneity in Computer-Supported Collaborative Learning (DS-CSCL 2013)

May 22

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H. Johnson

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Publications by H. Johnson (bibliography)

2003

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Wild, P. J., Johnson, P. and Johnson, H. (2003): Understanding Task Grouping Strategies. In: Proceedings of the HCI03 Conference on People and Computers XVII 2003. pp. 3-20.

2001

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O'Neill, E., Johnson, P. and Johnson, H. (2001): Participatory Analysis: Modelling Users, Tasks and Domains. In: Proceedings of IFIP INTERACT01: Human-Computer Interaction 2001, Tokyo, Japan. pp. 830-831.

2000

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Otter, M. and Johnson, H. (2000): Lost in Hyperspace: Metrics and Mental Models. In Interacting with Computers, 13 (1) pp. 1-40.

“Being disorientated or lost is one of the fundamental difficulties which users experience when trying to navigate within hypertext systems. In this paper, two new metrics of lostness are described and applied. The new metrics focus on the effects of link-type and the accuracy of user's mental models of system structure. In a series of studies, the new metrics were compared with the only other published metric of lostness, the optimal path deviation measure formulated by Smith [P.A. Smith, Towards a practical measure of hypertext usability, Interacting with Computers 4 (1996) 365-381], and with other measures including self-report estimates and task times. The results tentatively suggest that some types of hyperlink have a greater impact on lostness than others. The accuracy of the subjects' mental models did not correlate significantly with other measures of lostness, however this may have been due to task demands. Based on these findings, suggestions are made for the design of more effective hypertext systems that minimise lostness, and a new approach to designing such systems, based on the mental models of users, is put forward.”

1994

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Dutt, A., Johnson, H. and Johnson, P. (1994): Evaluating Evaluation Methods. In: Cockton, Gilbert, Draper, Steven and Weir, George R. S. (eds.) Proceedings of the Ninth Conference of the British Computer Society Human Computer Interaction Specialist Group - People and Computers IX August 23-26, 1994, Glasgow, Scotland, UK. pp. 109-121.

“In HCI the aim of evaluation is to gather information about the usability or potential usability of a system. This paper is principally concerned with evaluating the effectiveness of two discount user inspection evaluation methods in identifying usability problems in a commercial recruitment database system with complex interface and system functionality. The two specific inspection methods investigated are heuristic evaluation and cognitive walkthrough. Several comparisons are made between the number, nature and severity of usability problems highlighted, the time needed to employ the methods and the ability to generate requirements for re-design. The results indicate that the methods are best considered as complementary and both should be employed in, but perhaps at different stages of, the design process.”

1993

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Johnson, H. (1993): User-Centred Evaluation of Explanation Facilities in Information Systems. In: Alty, James L., Diaper, Dan and Guest, D. (eds.) Proceedings of the Eighth Conference of the British Computer Society Human Computer Interaction Specialist Group - People and Computers VIII August 7-10, 1993, Loughborough University, UK. pp. 267-276.

“This paper argues that explanation facilities will become common place in future interactive systems. As a result, a major concern for HCI researchers is to establish the utility and quality of explanation provision currently provided by a range of information systems, such as intelligent tutoring, expert or knowledge-based systems, etc. Although there has been much research in the area recently, there are still three problems which need to be addressed. First, there is a lack of unifying theory; secondly, there are no criteria by which to judge the resulting explanations; and finally, there are very few empirical studies which demonstrate the claimed improvements. In this paper we are particularly concerned with developing criteria for evaluation and also considering why evaluation is important and how evaluation of explanation provision in information systems might occur.”

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