Objectives
a) To acquire data related to errors (E1) in digital mapping activity from Quality Control Experts
b) To assess some of the cognitive,personality and stress variables/ factors for the operators and prepare
an error profile for each operator
c)To classify mapping errors from cognitive psychology perspective and prepare an error profile for each operator
d)To design and conduct suitable intervention programme which could address errors. The idea is to put forth cognitive engineering measures as suggestions which may regulate errors as part of the intervention programme
e) To acquire data related to errors as a post intervention measure (E2) from Quality Control Experts
f) To compare pre (E1) and post intervention and (E2) error profiles
g) To study the implications of the intervention programme
h) To suggest a model for effective performance in digital mapping

Sample
The study was carried out using a total of 53 subjects in three categories.
a) The Pilot Study sample of 10 digital mapping operators to study errors and orient investigators about mapping activity
b) The Supporting Study sample comprising

c) The Main Sample consisting of 30 operators to study mapping performance and errors made by them before and after intervention.

Even though the main sample was 30, mapping activity for 3 shifts (A, B & C) of each individual were recorded for purposes of error identification. Mapping activity was tracked on 90 occasions (30 * 3 shifts) which amounts to approximately 540 hours and fulfills the reliability requirement.

Tools
The errors made by operators were studied in digital environment (digital photogrammetry workstations and mapping workstations having relevant software packages) by quality control experts who had extensive documentation support on different types of errors. On the Main sample of 30 operators the following tools were utilized to assess their personality and to obtain feedback regarding error awareness, regulation, time frames, attitudes towards session and efficacy of the intervention programme.

Procedures
For the sake of clarity, the elaborate procedure adopted in the study is summarized below.



Intervention
The data related to psychological variables were studied in the context of error production. The psychological factors assessed which are likely to have a negative effect on performance or bearing on error occurrence were considered as risk factors. Risk factors on all psychological tests for each individual member of the sample were identified. For each individual an error profile and a psychological profile was prepared. This was given to them as part of the intervention programme for their awareness, information and understanding. Risk factors for each individual were estimated and presented in the context of error occurrence. This may be seen as possible contributions of error production which, if addressed, could result in error regulation thereby resulting in error reduction.



Feed back taken from the sample after the intervention programme has shown readiness to make effort to regulate the performance so as to reduce the error occurrence. Members of the main sample claimed that they made a conscious effort to reduce errors and increase their quantum of work. This is attributed to the contract they made with themselves to self regulate errors, i.e., 46% of them from next day, 26% of them within two days and 26% of them within a week.

Mean error occurrence of the sample before and after intervention showed significant decrease. Results show a considerable increase in quantum of work done after intervention. Performance evaluation by quality control experts before and after intervention were encouraging and positive. The results Performance gain was derived on the basis of mean quanta of work and errors before and after intervention.

• Classification of mapping errors as per cognitive psychology perspective into (i) skill based, (ii) rule based, and (iii) knowledge based performance level errors is adequate for the meeting the objectives of understanding human factors that cause errors and to evolve strategies to reduce them.
• Mean quanta of work is more in shift B (2 pm to 10 pm) compared to shifts A (6 am to 2 pm) & C (10 pm to 6 am).
• Skill based performance level errors were found to be 32%. This may be because mapping activities are predominantly skill based involving cognitive activities like attention, perception, automaticity, etc.
• Mean error occurrence of the sample before and after intervention decreased to 13.22 from 18.09.
• Results show a considerable increase in quantum of work done after intervention.
• Performance evaluation by quality control experts before and after intervention shows that 18% of the sample moved from below average to above average level, 18% from below average to average and 4% from average to above average, 37% of them remained average. Actually the number of below average performers was completely eliminated after the intervention whereas the number of average and above average performers consequently increased.
• Performance gain was 31%.
• Based on the findings a working model for effective digital mapping performance improvement procedure from cognitive psychology perspective has been evolved. .
  

The suggestions are the outcome of a maiden research in the mapping domain in this country. It is hoped that this would set us thinking in a new direction to face the new era that brings newer challenges.

• Bringing error occurrence to the operator’s attention periodically, would act as a feed back on performance.
• Training programmes may be designed exclusively for below average performers, average performers and above average performers. These programmes should be designed based on an analysis of errors, quanta of work done, personality and work related factors. Such programmes if conducted periodically would motivate poor and average performers to aim at higher level of performance. It is also important to see that above average performers would maintain their performance and be motivated to perform towards excellence.
• While selecting the candidate for the jobs relating to mapping, recruitment department may use psychological tests as another screening test. Test like cognitive styles, perceptual styles, personality and stress may be administered and then based on these results, suitable candidates may be selected.
• It is important to make an effort to understand and identify the human risk factors in operators. This would help in addressing the issue rather than the person specifically. If unaddressed such factors would hamper healthy interpersonal and cultural climate of the organization.
• Individuals who are working with computers on activities similar to that of mapping (i.e., not programming or text processing which are logical operations) for example air traffic control, thematic image interpretation, process control systems, animation and graphic arts, etc., may be studied.

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