A Cognitive Engineering Approach for Facilitating Analysis of Human-Computer Interaction in Complex Work Domains

Author(s):  
Wei Xu

This paper demonstrates that work domain analysis (WDA), a cognitive engineering approach based on Rasmussen's abstraction hierarchy (AH) framework, is a valuable and alternate analytic tool for analyzing human-computer interaction (HCI) in complex work domains through a case study. In the case study, we use WDA to examine automation awareness, an HCI issue in automated flight decks. The case study shows that WDA provides an effective approach to systematically assess collected human factors data in order to identify the gaps in satisfying the work requirements across interrelated factors. It helps assess the adequacy of domain information provided to workers via training in order to build a fairly accurate and effective mental model, adequacy of domain information presented to workers at the interface, and the adequacy of operation procedures designed for workers to copy with unfamiliar situations. Finally, WDA also helps generate needs for enhancements of existing systems from a work domain perspective.

2002 ◽  
Vol 56 (6) ◽  
pp. 597-637 ◽  
Author(s):  
DAL VERNON C. REISING ◽  
PENELOPE M. SANDERSON

2021 ◽  
Vol 28 (5) ◽  
pp. 1-29
Author(s):  
Amanda Lazar ◽  
Ben Jelen ◽  
Alisha Pradhan ◽  
Katie A. Siek

Researchers in Human–Computer Interaction (HCI) have long developed technologies for older adults. Recently, researchers are engaging in critical reflections of these approaches. IoT for aging in place is one area around which these conflicting discourses have converged, likely in part driven by government and industry interest. This article introduces diffractive analysis as an approach that examines difference to yield new empirical understandings about our methods and the topics we study. We constructed three analyses of a dataset collected at an IoT design workshop and then conducted a diffractive analysis. We present themes from this analysis regarding the ways that participants are inscribed in our research, considerations related to transferability and novelty between work centered on older adults and other work, and insights about methodologies. Our discussion contributes implications for researchers to form teams and account for their roles in research, as well as recommendations how diffractive analysis can support other research agendas.


Author(s):  
Ann M. Bisantz ◽  
Catherine M. Burns ◽  
Emilie Roth

Work domain analysis (WDA) is becoming a popular technique for the analysis of complex systems. WDA is one of the frameworks of Cognitive Work Analysis (CWA; Vicente, 1999) and can be used to gather work domain constraints as part of a user centered design process. In this paper, we discuss issues of inter-modeler reliability with WDA. The authors of this paper performed, over similar time periods, cognitive engineering analyses, including work domain analyses using abstraction hierarchy models, of two similar systems: naval combat vessels. In this paper, we compare these models for similarities and differences. Comparison indicated similarities in model scope and content, which would be an expected result of the application of a reliable modeling technique to two similar systems. Differences between the models included the use of multi-part vs. a single model to represent components of the overall ship-seacontact system, the related decisions to include sensors explicitly in the model, and the descriptions of abstract functions and constraints included in the two models. Exploration of these differences illuminated methodological as well as theoretical considerations in applying work domain modeling techniques that can provide guidance to other modelers.


Author(s):  
Diana Pérez-Marín ◽  
Ismael Pascual-Nieto

According to User-Centered Design, computer interactive systems should be implemented taking into account the users’ preferences. However, in some cases, it is not easy to apply conventional Human-Computer interaction evaluation techniques to identify the users’ needs and improve the user-system interaction. Therefore, this chapter proposes a procedure to model the interaction behaviour from the analysis of conversational agent dialog logs. A case study in which the procedure has been applied to model the behaviour of 20 children when interacting with multiple personality Pedagogic Conversational Agents is described as an illustrative sample of the goodness and practical application of the procedure.


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