Human Error and Perceptual Control Theory

Human wrongful conduct and Perceptual Control TheoryOverviewIn this paper, I ordain explore and advocate the importance of some(prenominal) Human Error and Perceptual Control Theory for design of complex valet being-machine administrations, enhanced user experience and better gracious performance and safety.Human ErrorErrors ar the result of actions that fail to generate the intended outcomes (SKYbrary). Human operators are one of the biggest sources of computer faultings in any complex dodging (Shelton, 1999). According to Sanders McCormick (1976), Human misconduct is an inappropriate or undesirable human decision or behavior that reduces, or has the potential for reducing effectiveness, safety and performance of a system and/or human (Kurniawan).Error TypesResearchers have differentiated between two types of error1) slipsand lapses 2) mistakes.Slips and lapsesAccording to SKYbrary, a person intends to carry out an action, the action is appropriate, carries it out in correctly, and the sought after goal is not reach outd an execution failure has occurred. Execution errors result from failures in the execution and/or storage stage of an action sequence. Slips relate to observable actions and are commonly associated with attentiveness or perceptual failures. Lapses are more internal events and generally involve failures of memory (SKYbrary).MistakesAs mentioned in UKEssays.com, Mistakes occur when an intended outcome is not achieved even though thither was adherence to the steps in the plan. This is usually a case in which the original plan was wrong, was followed, and resulted in an unintended outcome (UKEssays.com).Error mechanismsThe following three error mechanisms are widely accepted, which correlate with human performance levels.Skill-based errorsErrors of executionOccur during extremely routine activities or automated tasks with occasional checksAction chosen by the operator but not in accordance with the operators intentionsDone by hig hly experienced individuals due to inattention or distractionRule-based errorsApplies to familiar situationsIncorrect application of a good tower, correct application of a bad rule or failure to apply a good ruleKnowledge-based errorsOccur in unique and unfamiliar situationsResult from inadequate psychoanalysis or decision making (trial and error)Done by operators with insufficient knowledgeApplications of Human error theoryHuman error is inevitable. However, human error mitigation strategies could be devised by construeing various error mechanisms and triggers, as depicted in the human error theory. Superior system design, better recruitment and selection of operators, training, stress and fatigue duty prevention measures, better equipment procedures and improved work environment can reduce error consequences and likelihood. By understanding human error, system designers can plan for probably error scenarios, and implement barriers to prevent or mitigate the occurrence of poten tial errors. Some approaches to build a better human machine interaction system are explained below.Identification of error environmentFirst step in human error mitigation approach is to understand the work environment, recognize readiness of the users, identify possible loopholes n the system and be familiar with potential user error occurrence and consequences. Likelihood of an error and severity of potential terms should also be examined. For example, FDA (Food and Drug Administration) requires manufacturers to submit a failure analysis report FMEA (Failure Mode and Effect Analysis) while launching any new medical examination device.Design solutions to address errorsError eliminationFirst and foremost design strategy is to eliminate design features, which are sources of user errors. Design weaknesses identified during musing and task analysis should be removed or revised. Removal of excessive and irrelevant information, inclusion of validity checks and task automations are so me design aspects that nurture error elimination approach. Additionally, carrying out periodical test runs of the system might be helpful in eliminating some of the rules based errors.Error reductionDesigners should seek to reduce error occurrences for features that cannot be removed completely. Building consistent designs and providing alerts, warnings, confirmations and some other unavoidable feedback to users may prevent users to make errors of execution (skill-based errors). implication eliminationConsequence elimination is an approach to prevent potential harm after the occurrence of error. Designers can devise features that provide information about potential harm and ship canal to correct the situation (e.g. undo) and/or prevent onset of side effects (e.g. automatic locking or shutdown, process delays) in order to prevent error consequences.Consequence reductionThis is a last design alternative a designer can look into if above mentioned options are not feasible to incorp orate. change magnitude the effect of error is helpful especially in catastrophic situations. Design of supplementary features is usually obligatory to achieve this purpose. Backup and restore features, automatic report to stakeholders/police/medical teams and automated substitute drug delivery are some of the techniques for reducing effects of consequences.Error elimination and error reduction are often the most cost effective methods to avert user errors.TrainingsKnowledge-based errors can be eliminated to some extent by providing system- lie trainings, especially to novice users. On the other hand, a different training program could be devised for experienced users. Periodical trainings could keep experts up-to-date with latest developments in their field and assess their knowledge of system procedural checks. Essentially, this may help minimizing skill-based errors.Perceptual Control Theory (PCT)Perceptual go steady theory (PCT) is a theory of human and animal behavior. It i s based on the principles of control theory (Powers, 1973). As cited by Lulham (2005), at the core of PCT is the idea that many of the processes involved in how human functions are most appropriately conceptualized and modelled as dynamic control processes (Powers, 1999b). Control processes are proposed to be fundamental to many functions including those related to physiological (e.g. temperature regulation), neural (e.g. attention), motor control (e.g. driving a car), psychological (e.g. maintenance of a criminal identity) and social (e.g. staff-detainee relationship) functions (Lulham, 2005).According to Cherry Farrel (1998), PCT exploits the concept of a purpose behind the behaviour. A learning (which is a transformation of stimuli from the world) is then compared to its reference signal, and a perceptual error is generated. A person acts on the world in such a manner to downplay this error. The stabilisation of this control loop is the essence of PCT (Chery Farrell , 1998). Applications of PCTUsing perceptions for building complex systemsSystem environments are becoming increasingly complex. Traditional pull in and effect methods of understanding system operations and user interactions may not work well in order to employ personalization and user experience in these complex systems.According to pctweb.org, the person compares a standard (what they want) with what they are experiencing right now (their perception). The difference between the two the discrepancy or error is existence measured. The bigger the error the more the effort the person makes to reduce it, until the error is zero this means they get what they want (pctweb.org). The basic premise of PCT is that human behavior is not about the behavior itself, but about reinforcing desired perception (ONeal, 2012). Understanding and applying this concept of individually preferred perceptions through PCT will help in designing effective personal information management for complex systems and enh ancing the overall user experience.User research and analysisPCT is particularly helpful in understanding users behaviors and motives behind their actions. Often system designers evaluate possible system states and static change in control values necessary to achieve those states. Tasks are carried out on the controls to attain the new state and user is though of as a controller of these tasks. Designers use task analysis method to perform user research and concentrate on physical tasks a user performs. However, instead of system oriented or designer oriented view, PCT goes much deeper and offers users standpoint.PCT provides poser to realize dynamic nature of user interactions. System designers can use PCT to understand how users constantly perceive and compare system states and take dissimilar actions to reinstate appropriate system state every time. Furthermore, Powers (1973) proposed behavior as a control of perceptions. Instead of focusing on a physical activity during the t ask analysis, PCT suggests focusing on users behaviors that lead them to perform actions to achieve desired perception (system state). Thus, using the PCT framework, designers can integrate physical, cognitive and behavioral sides of a users interaction with the system.Moreover, PCT analysis of intentions from different user groups exposes their share narrative, which in turn, helps in finding system requirements for hidden, absent user (ONeal, 2012). For example, a customer service representative might use call center parcel while working to resolve an issue with a customer. While the customer is not a direct user of the software system, he is affected indirectly. The customer here is a hidden user. His perceptions should be analyzed to understand his requirements and objectives while developing the call center system.Empowered designsPCT offers a design framework toward the satisfaction of the users desired percepts. Human-machine system performance is enhanced when the display s and controls are designed to allow the operator to perceive and transmit information in order to defame the perceptual error (Chery Farrell , 1998).According to PCT, when a user interacts with the system, he is constantly trying to bring equilibrium, changing his perception to the reference point, which is his new perception. Keeping this in mind, a designer should build the system that transforms from an old state to the new state seamlessly, provides estimate of gap between old and new state, furnish necessary feedback to keep the user aware of the environment variables and helps the user to manage disturbances. These functionalities will help users to gain accurate information regarding their perceptions, empower them to undertake correct sum of money of action to reach to new perception, ultimately helping them achieve self-regulation and stability. For example, the windshield of the car let the user scan his environment and gather information necessary to their perception, the car dashboard continuously displays speed and other important elements to help user assess different system states, and the gear stick helps user achieve new state from the old one smoothly. Other features like wiper, headlights, turn signals etc. facilitate users to manage disturbances as much as possible. Thus, human-machine designs should be harmonious with users interpretations of information in order to improve their decision making process and overall system performance.ConclusionBoth human error and PCT frameworks are valuable in building complex system designs to facilitate information management, enhance security and improve both system and human performance.By understanding fundamentals of human errors, designers can build a system that is more usable, provides meaningful feedbacks and include training, procedural checks and incentive programs. However, according to Shelton (1999), there is a trade-off between making the HCI relatively easy and intuitive and ensuring that system safety is not compromised by lulling the operator into a state of complacency.In PCT, the error is continuously measured to achieve equilibrium. Per Lulham (2005), those involved in developing the theory believe PCT has significant potential to change the way human functioning is understood. However, further research is required for advancement of PCT framework.ReferencesComponent-based usability testing. (n.d.). Retrieved from Wikipedia http//en.wikipedia.org/wiki/Component-Based_Usability_TestingEmbrey, D. Understanding Human Behaviour and Error. Human Reliability Associates.Latino, R. J. (2007, Nov). Defining and reducing human error. Briefings scalawag on Patient Safety .ONeal, A. (2012, July). Intention-Focused Design Applying Perceptual Control Theory to Discover User Intent. Retrieved 2013, from UXmatters.com http//www.uxmatters.com/mt/archives/2012/07/intention-focused-design-applying-perceptual-control-theory-to-discover-user-intent.phpPCTweb. (n.d.). What is PCT? Retrieved from PCTweb http//www.pctweb.org/whatis/whatispct_03.htmlPowers, W. T. (n.d.). A skeleton introduction to Perceptual Control Theory . Retrieved from Frontier http//www.frontier.net/powers_w/whatpct.htmlShelton, C. P. Human Interface/Human Error. Carnegie Mellon University.SKYbrary. (n.d.). Human Error Types. Retrieved from SKYbrary http//www.skybrary.aero/index.php/Human_Error_Types1Lajja Mehta