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Measuring Delay Discounting in Humans Using an Adjusting Amount Task

Measuring Delay Discounting in Humans Using an Adjusting Amount Task

Published on: January 9, 2016

Delays and user performance in human-computer-network interaction tasks.

Barrett S Caldwell¹, Enlie Wang

¹School of Industrial Engineering, Purdue University, 315 N Grant St., #228D, West Lafayette, IN 47907-2023, USA. bscaldwell@purdue.edu

|April 27, 2010

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User tolerance for network delays in human-computer-network interaction (HCNI) tasks depends on task factors and expectations. Interface tools can manage user perceptions of delay and improve HCNI experience.

Area of Science:

Human-Computer Interaction
Network Performance
User Experience Research

Background:

Human-computer-network interaction (HCNI) tasks are susceptible to perceived delays, impacting user experience despite advancements in computing and network capabilities.
Understanding user perception of latency and acceptable waiting times is crucial for designing effective HCNI systems.

Purpose of the Study:

To investigate factors influencing user perceptions, responses, and tolerance for network-based delays in distributed HCNI tasks.
To examine how task characteristics, situational factors, and network conditions affect user expectations and tolerance for delays.

Main Methods:

Six laboratory studies were conducted with university participants in China and the United States.
Researchers assessed users' perceptions of elapsed time, the impact of perceived task partners on delay tolerance, and expectations of appropriate delays.

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Main Results:

User delay tolerance and estimations were influenced by task complexity, importance, situational urgency, time availability, file size, and network bandwidth.
Users develop strategies to integrate delay tolerance into task planning and execution.

Conclusions:

User experience in HCNI is shaped by task requirements, constraints, and system performance understanding.
Delay tolerance is a nonlinear function of time constraint ratios.
User interface tools offering delay feedback can effectively manage user expectations and tolerance, especially for significant delays or high-demand tasks.