The study examined the influence of system-embedded feedback on user behaviour during the environmentally friendly operation of a central heating system. A PC-based simulation, called CHESS, was developed to model the critical features of a central heating system. After having received 30 min of training on the simulation task, 60 participants worked on a series of operational scenarios under different levels of system feedback. In addition to the collection of various performance measures (e.g. energy consumption, energy wastage), a range of user variables was collected (e.g. environmental concern). As hypothesized, the results showed that increased feedback resulted in improved environmentally friendly performance and, more importantly, the specific feedback indicator influenced the type of strategy used to improve human - machine system performance. A major implication is that system designers need to develop feedback indicators that are chiefly influenced by user behaviour and are largely immune to factors that are beyond the user's control (e.g. weather conditions).
The study examined the influence of different types of enhanced system support on user performance during the management of a central heating system. A computer-based simulation of a central heating system, called CHESS V2.0, was used to model different interface options, providing different support facilities to the user (e.g., historical, predictive, and instructional displays). Seventy-five participants took part in the study and completed a series of operational scenarios under different support conditions. The simulation environment allowed the collection of performance measures (e.g., energy consumption), information sampling, and system control behaviour. Subjective user evaluations of various aspects of the system were also measured. The results showed performance gains for predictive displays whereas no such benefits were observed for the other display types. The data also revealed that status and predictive displays were valued most highly by users. The implications of the findings for designers of central heating systems are discussed.
PurposeIn contrast to the behavioural paradigm of IS research, design science seeks to develop a body of practically‐oriented knowledge which will directly aid the design, implementation, and use of information technologies and systems. Design science, however, remains a minority practice. The purpose of this paper is to argue the case for its more widespread adoption, especially so in research on innovation.Design/methodology/approachTo this end, the authors report an example of design science in action. Two experiments are reported, both concerning the design of the user interface for domestic heating systems. Of note is the use of a medium‐fidelity laboratory simulation (“microworld”) in this work.FindingsTwo specific substantive findings results. First that ecologically designed feedback, embodying a strong mapping between task goals and system status, produces superior task performance. Second, that predictive decision aids provide clear benefits over other forms of user support, such as advisory systems.Practical implicationsWhilst arguing the general case for design science, the study shows that there are formidable barriers to its wider promulgation. These include the challenges of constructing realistic meta‐artefacts, compounded by the complex, modal and uncertain nature of design theory itself. The practical value of the microworld paradigm is also confirmed.Originality/valueAlthough research in this field has largely addressed the workplace, here the paper addresses the domestic realm. Further novelty derives from the use of the microworld approach. The argument that design science should draw more on the proven methods of “good design” (e.g. prototyping, user participation) in terms of its own praxis is also noteworthy.
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