Challenges in implementation of human-automation interaction models

Abstract

This paper presents the practical experience gained in the process of implementing the human-centered automation design methodology to an electric power utility management automation function, along with the analytical discussions on the implementation challenges. This report of implementation challenges and the discussions made on the methods devised to conquer those challenges lead to an alternative approach to the original approach to the well-known human-centered automation design model in the literature. Keywords: human-centered automation (HCA), human-computer interaction (HCI), human-automation interaction (HAI), type-level model (TLM), distribution automation (DA), utility management automation (UMA), feeder reconfiguration function (FRF), energy restoration, level of automation (LOA)

Investigation of performance shaping factors in a practical human-automation interaction system

“…According to this model, instead of the simple two-level notion of manual-or-automate, automation is regarded as a wide spectrum ranging from manual to full automatic, known as levels (or degrees) of automation (LOAs) or autonomy level. Other forms of such scale are discussed in [2,3,6,23]. Ref.…”

“…[4] showed that level of automation affects the efficiency, situation awareness and mental work load. 2 Inagaki et al [6] suggested a level between the levels six and seven, and Fereidunian et al [23][24] suggested a level between the levels zero and one. Furthermore, Fereidunian et al developed a framework for implementation of adaptive autonomy (adaptive LOAs versus changing PSFs) in [23][24][25]; and then realized the presented framework using Decision Fusion (AAES) [26], Fuzzy PSFs (AAFES) [27], Logistic Regression (AALRES) [28], and Generalized Linear Models (AAGLMES) [29].…”

“…1), known as type (or stages) of automation (TOA) as follows [4]: I) Information acquisition IT) Information analysis III) Decisions making IV) Decision action Some types (stages) of automation can be performed in a higher level of automation and some in less levels of automation [2][3]. A relatively detailed discussion on dependence or independence of LOAs and TOAs is presented in [23]. …”

“…Of those, conceptual models are introduced in [2-3, [11][12][13][14][15][16] or implemented to practical automation problems [18][19][20][21][22][23][24][25][26][27][28][29]. Moreover, researchers continued to work on human side of automation systems [17,[30][31][32].…”

AAPNES: A Petri Net expert system realization of adaptive autonomy in smart grid

“…Afterwards, Parasuraman, Sheridan and Wickens [7] suggested the AA concept (also known as adaptive automation or adjustable automation [7], [10], [14]- [16]), which is expected to adapt the LOAs to the environmental conditions in order to optimize human-automation systems performance in different environmental conditions [7], [10]. Subsequently, Fereidunian et al introduced a model-based framework for realization of the AA concept [17]- [19] and suggested expert systems for human-automation complexity management [20]- [22].…”