Delays and User Performance in Human-Computer-Network Interaction Tasks

Caldwell, Barrett S.; Wang, Enlie

doi:10.1177/0018720809359349

Cited by 14 publications

(12 citation statements)

References 21 publications

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“…Our results support the scientific evidence from a study conducted in 2006 that concluded that technology effectiveness is affected by task complexity factor [ 31 ]. Task numbers 1, 2, 7, 9, and 10 were very simple, such as open or close a functional button on the reporting map.…”

Section: Discussionsupporting

confidence: 90%

“…From the TBE results ( Figure 5 ), we expected that in addition to the cognition and knowledge needed to accomplish these tasks, usability issues we discovered in this study might make these tasks even more complicated than the investigators thought. The ORE results supported previous literature’s findings that the efficiency is relatively associated with the complexity of these tasks [ 31 ].…”

Section: Discussionsupporting

confidence: 88%

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Usability Assessment of the Missouri Cancer Registry’s Published Interactive Mapping Reports: Round One

Ramadan

Jackson‐Thompson

2017

JMIR Hum Factors

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Background Many users of spatial data have difficulty interpreting information in health-related spatial reports. The Missouri Cancer Registry and Research Center (MCR-ARC) has produced interactive reports for several years. These reports have never been tested for usability.Objective The aims of this study were to: (1) conduct a multi-approach usability testing study to understand ease of use (user friendliness) and user satisfaction; and (2) evaluate the usability of MCR-ARC’s published InstantAtlas reports.Methods An institutional review board (IRB) approved mixed methodology usability testing study using a convenience sample of health professionals. A recruiting email was sent to faculty in the Master of Public Health program and to faculty and staff in the Department of Health Management and Informatics at the University of Missouri-Columbia. The study included 7 participants. The test included a pretest questionnaire, a multi-task usability test, and the System Usability Scale (SUS). Also, the researchers collected participants’ comments about the tested maps immediately after every trial. Software was used to record the computer screen during the trial and the participants’ spoken comments. Several performance and usability metrics were measured to evaluate the usability of MCR-ARC’s published mapping reports.ResultsOf the 10 assigned tasks, 6 reached a 100% completion success rate, and this outcome was relative to the complexity of the tasks. The simple tasks were handled more efficiently than the complicated tasks. The SUS score ranged between 20-100 points, with an average of 62.7 points and a median of 50.5 points. The tested maps’ effectiveness outcomes were better than the efficiency and satisfaction outcomes. There was a statistically significant relationship between the subjects’ performance on the study test and the users’ previous experience with geographic information system (GIS) tools (P=.03). There were no statistically significant relationships between users’ performance and satisfaction and their education level, work type, or previous experience in health care (P>.05). There were strong positive correlations between the three measured usability elements.ConclusionsThe tested maps should undergo an extensive refining and updating to overcome all the discovered usability issues and meet the perspectives and needs of the tested maps’ potential users. The study results might convey the perspectives of academic health professionals toward GIS health data. We need to conduct a second-round usability study with public health practitioners and cancer professionals who use GIS tools on a routine basis. Usability testing should be conducted before and after releasing MCR-ARC’s maps in the future.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionsupporting

confidence: 88%

Usability Assessment of the Missouri Cancer Registry’s Published Interactive Mapping Reports: Round One

Ramadan

Jackson‐Thompson

2017

JMIR Hum Factors

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“…More complex interactions will be perceived as continuous in time ranges from 2 to 5 s. At SRTs of 7 to 10 s, the user will begin to give up on the task if no feedback occurs. Likewise, more and more evidence suggests that the time a user is willing to wait for a task largely depends on a multitude of factors, such as the complexity of the task (Caldwell & Wang, 2009;Dabrowski & Munson, 2011); environmental factors, such as time pressure (Caldwell & Wang, 2009); and the expertise of the user (Caldwell, 2008).…”

Section: Srt Durationmentioning

confidence: 99%

“…Findings on the benefits of decreased variability cast doubt on the main focus on shortening SRTs to improve HCI. Users have been found to accept longer SRTs when they are predictable and accepted as reasonable (Caldwell & Wang, 2009). Focusing on variability as a means to heighten predictability may be a fruitful approach.…”

Section: Variability Of Srtsmentioning

confidence: 99%

Improving the Human–Computer Dialogue With Increased Temporal Predictability

2013

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Objective: An experiment was conducted to investigate the impacts of length and variability of system response time (SRT) on user behavior and user experience (UX) in sequential computing tasks.Background: Length is widely considered to be the most important aspect of SRTs in human-computer interaction. Research on temporal attention shows that humans adjust to temporal structures and that performance substantially improves with temporal predictability.Method: Participants performed a sequential task with simulated office software. Duration and variability, that is, the number of different SRTs, was manipulated. Lower variability came at the expense of on average higher durations. User response times, task execution times, and failure rates were measured to assess user performance. UX was measured with a questionnaire.Results: A reduction in variability improved user performance significantly. Whereas task load and failure rates remained constant, responses were significantly faster. Although a reduction in variability came along with, on average, increased SRTs, no difference in UX was found.Conclusion: Considering SRT variability when designing software can yield considerable performance benefits for the users. Although reduced variability comes at the expense of overall longer SRTs, the interface is not subjectively evaluated to be less satisfactory or demanding. Time design should aim not only at reducing average SRT length but also at finding the optimum balance of length and variability.Application: Our findings can easily be applied in any user interface for sequential tasks. User performance can be improved without loss of satisfaction by selectively prolonging particular SRTs to reduce variability.

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“…Due to the popularity of computer and network among college students, the influences of network on college students are especially obvious. Network has become an indispensable part of college students' life [1]. Interpersonal relationship based on network is turned into a significant aspect of college students' interpersonal interaction.…”

Section: Introductionmentioning

confidence: 99%

The Influences of Network Interpersonal Interaction among College Students

Qin

Nan

2010

2010 International Conference on Multimedia Technology

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The purpose of the present study was to explore the characteristics and the effects of interpersonal interaction based on network among college students. The development of internet facilitates the deep change of college students in all aspects, especially in the interpersonal interaction. Based on the definition of the network interpersonal interaction, the current paper summarized the characteristics of network communication among college students, involving virtuality, anonymity, freeness, openness and equality. College students' network communications have significant influences on the life, mental health, and real interaction of college students. At last, strategies that promoted college students' network interpersonal interaction were discussed, including strengthening the instruction and guidance, enriching life at campus, intensifying network administration, and stressing education of network mental health.

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Delays and User Performance in Human-Computer-Network Interaction Tasks

Cited by 14 publications

References 21 publications

Usability Assessment of the Missouri Cancer Registry’s Published Interactive Mapping Reports: Round One

Usability Assessment of the Missouri Cancer Registry’s Published Interactive Mapping Reports: Round One

Improving the Human–Computer Dialogue With Increased Temporal Predictability

The Influences of Network Interpersonal Interaction among College Students

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