An HCI method to improve the human performance reduced by local-lag mechanism

  • Authors:
  • Ling Chen;Gen-Cai Chen;Hong Chen;Jack March;Steve Benford;Zhi-Geng Pan

  • Affiliations:
  • College of Computer Science, Zhejiang University, Hangzhou 310027, PR China and School of Computer Science and IT, the University of Nottingham, Nottingham NG8 IBB, UK;College of Computer Science, Zhejiang University, Hangzhou 310027, PR China;College of Computer Science, Zhejiang University, Hangzhou 310027, PR China;School of Computer Science and IT, the University of Nottingham, Nottingham NG8 IBB, UK;School of Computer Science and IT, the University of Nottingham, Nottingham NG8 IBB, UK;State Key Lab of CAD and CG, Zhejiang University, Hangzhou 310027, PR China

  • Venue:
  • Interacting with Computers
  • Year:
  • 2007

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Abstract

Local-lag mechanism can maintain consistency for replicated continuous applications, but with a tradeoff of adding delay to local operations. To relieve the negative effects of the delay, this paper proposes an HCI method named echo. With the help of the echo method users can immediately perceive the results of their operations and how large the lag is. In order to evaluate the proposed method, a desktop collaborative virtual environment (CVE) system and a virtual object control task were employed to study the effects of the echo method on human performance (including task completion time, error count, and interaction quality). Experimental results indicate that when the lag exceeds 100ms the echo method can improve human performance with the effects becoming more evident when a larger lag is used.