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Design and evaluation of a driver interface for a tractor-air seeder system to support the situation awareness of the user
Authors: Rakhra, Aadesh, Mann, Danny
Identifier: CSBE17059
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Published in: CSBE-SCGAB Technical Conferences » AGM Winnipeg 2017 (with CIGR VI Technical Symposium)
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Description: Drivers of agricultural machines interact with their machines using input from various systems, sensors and auxiliary equipment. The efficiency of machine operation and farm profitability both depend upon the timely and accurate decision-making of the operator, which ultimately depends upon the situation awareness (SA) of the operator. Interfaces which support the SA of the operator without creating excessive mental workload (MWL) would be ideal. In this study, various principles (i.e., SA, cognitive psychology and perceptual psychology) have been explored and applied to the design of a driver interface for a tractor-air seeder system. Goal-directed task analysis was used to determine the goals, information and situation awareness needs of the operator. Experiments were conducted in two phases. During the first phase, individual displays for 8 air seeder parameters were designed and evaluated. There was a significant improvement in both SA (mean difference = 5.0330, 95% CI (6.4728, 3.5939), p<0.0001) and MWL (mean difference = -5.2333, n = 30, ? = 0.05). Based on the subjective feedback, users placed more trust in the newly-designed parameter displays compared with existing parameter displays (mean difference = 27.2667, 99 % CI (35.1497, 19.3836), p<0.0001). In the second phase, all 8 individual parameter displays were combined to form a complete user interface and compared with an existing user interface, the effectiveness of the two user interfaces was evaluated under different automation scenarios (i.e., manual steering, auto steering, fully-manual and fully-autonomous). Data analysis is continuing.
Keywords: Human-machinery interface, user interface design principles, user experience, situation awareness, agricultural machines.
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Date: 2017-08-07
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Conference name: CSBE/SCGAB 2017 Annual Conference, Canad Inns Polo Park, Winnipeg, Manitoba, 6-10 August 2017.
Session name: Poster Session
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Type: Text.Article
Format: PDF
Publication type: Technical conference
Source:
Relation:
Coverage: Canada
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
Notes:
Other files:
DOI:
Description: Drivers of agricultural machines interact with their machines using input from various systems, sensors and auxiliary equipment. The efficiency of machine operation and farm profitability both depend upon the timely and accurate decision-making of the operator, which ultimately depends upon the situation awareness (SA) of the operator. Interfaces which support the SA of the operator without creating excessive mental workload (MWL) would be ideal. In this study, various principles (i.e., SA, cognitive psychology and perceptual psychology) have been explored and applied to the design of a driver interface for a tractor-air seeder system. Goal-directed task analysis was used to determine the goals, information and situation awareness needs of the operator. Experiments were conducted in two phases. During the first phase, individual displays for 8 air seeder parameters were designed and evaluated. There was a significant improvement in both SA (mean difference = 5.0330, 95% CI (6.4728, 3.5939), p<0.0001) and MWL (mean difference = -5.2333, n = 30, ? = 0.05). Based on the subjective feedback, users placed more trust in the newly-designed parameter displays compared with existing parameter displays (mean difference = 27.2667, 99 % CI (35.1497, 19.3836), p<0.0001). In the second phase, all 8 individual parameter displays were combined to form a complete user interface and compared with an existing user interface, the effectiveness of the two user interfaces was evaluated under different automation scenarios (i.e., manual steering, auto steering, fully-manual and fully-autonomous). Data analysis is continuing.
Keywords: Human-machinery interface, user interface design principles, user experience, situation awareness, agricultural machines.
Résumé:
Mots-clés:
Citation:
Volume:
Issue:
Pages -
Contributor:
Date: 2017-08-07
Technical field:
Conference name: CSBE/SCGAB 2017 Annual Conference, Canad Inns Polo Park, Winnipeg, Manitoba, 6-10 August 2017.
Session name: Poster Session
Other information:
Type: Text.Article
Format: PDF
Publication type: Technical conference
Source:
Relation:
Coverage: Canada
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
Notes:
Other files:
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