Behavioral Petri Net Mining and Automated Analysis for Human-Computer Interaction Recommendations in Multi-Application Environments

Details

• Personal Author:
  Darabi H ; Theis J
• Description:
  Process Mining is a famous technique which is frequently applied to Software Development Processes, while being neglected in Human-Computer Interaction (HCI) recommendation applications. Organizations usually train employees to interact with required IT systems. Often, employees, or users in general, develop their own strategies for solving repetitive tasks and processes. However, organizations find it hard to detect whether employees interact efficiently with IT systems or not. Hence, we have developed a method which detects inefficient behavior assuming that at least one optimal HCI strategy is known. This method provides recommendations to gradually adapt users' behavior towards the optimal way of interaction considering satisfaction of users. Based on users' behavior logs tracked by a Java application suitable for multi-application and multi-instance environments, we demonstrate the applicability for a specific task in a common Windows environment utilizing realistic simulated behaviors of users. [Description provided by NIOSH]
• Subjects:
  Behavior Occupational Health Safety Software
• Keywords:
  Author Keywords: User Behavior Optimization Behavioral Petri Nets Computer Applications Computerized Simulation Human-computer Interaction Recommendation Human Factors Engineering Models Multi-application Environments Software Process Mining
• ISSN:
  2573-0142
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Illinois ; OSHA Region 5
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  13
• Volume:
  3
• NIOSHTIC Number:
  nn:20063650
• Citation:
  Proc ACM Hum Comput Interact 2019 Jun; 3(EICS):13
• Email:
  hdarabi@uic.edu
• Federal Fiscal Year:
  2019
• Performing Organization:
  University of Illinois at Chicago
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Proceedings of the ACM on Human-Computer Interaction
• End Date:
  20290630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:6ae4e6a7b544df2bc1ef407c235ac3184d356727f99d8d3d31ad9709e5ffa4f0d0c525310613d4d3e5ad37f805eaf513edd0d3efad22f9e13e091d0a3570264f
• Download URL:
  https://stacks.cdc.gov/view/cdc/222218/cdc_222218_DS1.pdf
• File Type:
  [PDF - 1.13 MB ]