Visual and auditory feedback to improve touchscreen usability in turbulence

2017 ◽  
Vol 61 (1) ◽  
pp. 89-93
Author(s):  
Yuzhi Wan ◽  
Julie C. Prinet ◽  
Nadine Sarter
Keyword(s):  
Error Detection ◽  
Auditory Feedback ◽  
Completion Time ◽  
Text Entry ◽  
Mobile Environments ◽  
Military Aircraft ◽  
Flight Decks ◽  
Performance Effects ◽  
Flight Deck ◽  
Completion Times

Touchscreens are being introduced to various mobile environments that are, at times, affected by vibrations and turbulence, such as modern car cockpits or flight decks of commercial and military aircraft. To assess and enhance the usability of touchscreens in these domains, this experiment examined the performance effects of turbulence on two flight-related tasks and the effectiveness of visual and auditory feedback for supporting error detection, fast completion times and multitasking. Nineteen pilots performed a flight plan entry and a checklist task in calm and turbulent conditions during manual flight and on autopilot. Results show that unaided performance suffers greatly in turbulence, both in terms of the number of errors and completion time. However, visual and auditory feedback both helped reduce these performance costs by improving error detection and multitasking. Participants preferred auditory feedback for text entry during manual flight and in turbulence. The findings from this study can inform the design and evaluation of touch screens for mobile environments, such as the flight deck, ambulances and surveillance operations.

Standardizing Laryngeal Cleft Evaluations: Reliability of the Interarytenoid Assessment Protocol

2018 ◽  
Vol 160 (3) ◽  
pp. 533-539 ◽  
Author(s):  
Steven Coppess ◽  
Reema Padia ◽  
David Horn ◽  
Sanjay R. Parikh ◽  
Andrew Inglis ◽  
...  
Keyword(s):  
Completion Time ◽  
Intrarater Reliability ◽  
Substantial Agreement ◽  
Anatomic Landmarks ◽  
Assessment Protocol ◽  
Academic Center ◽  
Endoscopic Videos ◽  
Completion Times ◽  
Operating Surgeon

Objective While the Benjamin-Inglis classification system is widely used to categorize laryngeal clefts, it does not clearly differentiate a type 1 cleft from normal anatomy, and there is no widely accepted or validated protocol for systematically evaluating interarytenoid mucosal height. We sought to propose the interarytenoid assessment protocol as a method to standardize the description of the interarytenoid anatomy and to test its reliability. Study Design Retrospective review of endoscopic videos. Setting Pediatric academic center. Subjects and Methods The interarytenoid assessment protocol comprises 4 steps for evaluation of the interarytenoid region relative to known anatomic landmarks in the supraglottis, glottis, and subglottis. Thirty consecutively selected videos of the protocol were reviewed by 4 otolaryngologists. The raters were blinded to identifying information, and the video order was randomized for each review. We assessed protocol completion times and calculated Cohen’s linear-weighted κ coefficient between blinded expert raters and with the operating surgeon to evaluate interrater/intrarater reliability. Results Median age was 4.9 years (59 months; range, 1 month to 20 years). Median completion time was 144 seconds. Interrater and intrarater reliability showed substantial agreement (interrater κ = 0.71 [95% confidence interval (CI), 0.55-0.87]; intrarater mean κ = 0.70 [95% CI, 0.59-0.92/rater 1, 0.47-0.85/rater 2]; P < .001). Comparing raters to the operating surgeon demonstrated substantial agreement (mean κ = 0.62; 95% CI, 0.31-0.79/rater 1, 0.48-0.89/rater 2; P < .001). Conclusion The interarytenoid assessment protocol appears reliable in describing interarytenoid anatomy. Rapid completion times and substantial interrater/intrarater reliability were demonstrated. Incorporation of this protocol may provide important steps toward improved standardization in the anatomic description of the interarytenoid region in pediatric dysphagia.

Continuous user experience monitoring of a patient-completed preoperative assessment system: Usability evaluation and impact on completion times (Preprint)

2021 ◽  
Author(s):  
Inocencio Daniel Maramba ◽  
Arunangsu Chatterjee
Keyword(s):  
User Experience ◽  
Completion Time ◽  
Phase 1 ◽  
Preoperative Assessment ◽  
Usability Evaluation ◽  
Ease Of Use ◽  
Assessment System ◽  
Phase 2 ◽  
Factors Affecting ◽  
Completion Times

BACKGROUND Preoperative assessment reduces the risk of poor perioperative outcome and reduces cost of a specific group of perioperative candidates. The implementation of a preoperative digital tool may help to improve guideline adherence. MyPreOp®(Ultramed Ltd, Penryn, UK) is a web-based questionnaire designed to replace paper-based preoperative assessments. OBJECTIVE The study aimed to assess the user experience of MyPreOp®, investigate the factors affecting completion times, and devise a method of administering a validated usability scale without negatively affecting completion times. METHODS Anonymised datasets were extracted from the MyPreOp® system. The data collected included age, gender, American Society of Anesthesiology physical classification status, and time taken to complete the assessment. Two user experience evaluations were used: In Phase 1, two questions asking about overall experience and ease of use; and in Phase 2, a previously validated usability questionnaire, with its 20 questions equally distributed among five succeeding patient cohorts. There were 2593 respondents in total (Phase 1: n=1193; Phase 2: n=1400). RESULTS MyPreOp®scored well in both phases. In Phase 1, 80% of respondents had a good or better experience and 90% found it easy to use. The usability rating in Phase 2 was 4.13 (out of a maximum of 5) indicating high usability. Average completion time was 46.95 minutes (sd=25.83). The implementation of the longer usability evaluation scale in Phase 2 did not negatively impact completion times. Age and physical status were found to influence completion times but strength of the correlation was only moderate. CONCLUSIONS MyPreOp® rates high in both user experience and usability. The method of dividing the questionnaire into five blocks is both valid and does not negatively affect completion times. Further research into the factors affecting completion time is recommended.

Does User Choice of Device Impact the Results of Online Surveys?

2019 ◽  
Vol 8 (2) ◽  
pp. 1-17
Author(s):  
Helge Nissen ◽  
Monique Janneck
Keyword(s):  
Completion Time ◽  
Dropout Rate ◽  
Drop Out ◽  
Response Patterns ◽  
Online Questionnaire ◽  
Online Surveys ◽  
User Choice ◽  
Online Study ◽  
Drop Out Rate ◽  
Completion Times

This article investigates how and to what extent the data collected, the dropout rate, and the completion time in online surveys is influenced by the device used to fill out the questionnaire. To that end, an extensive online study with N=1493 was carried out. To address difficulties associated with the use of devices with smaller displays, different layout variants aimed at optimizing questionnaire usability for smartphones were developed and analyzed. Completion time, drop-out rate, and response patterns were compared across different display sizes and layout variants. Results show significantly lower completion times and drop-out rates when the questionnaire was answered on a larger display. Also, different answering patterns emerged among participants using mobile devices. Likewise, the study revealed effects of different questionnaire layouts. The authors discuss implications for the design of online questionnaire in order to obtain reliable data from online surveys.

scholarly journals Single Machine Predictive Scheduling Using Inserted Idle Times

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Hongli Zhu ◽  
Hong Zhou
Keyword(s):  
Single Machine ◽  
Completion Time ◽  
Primary Objective ◽  
Computational Experiments ◽  
Scheduling Problem ◽  
High Predictability ◽  
Surrogate Measure ◽  
Predictive Scheduling ◽  
Completion Times

A single machine predictive scheduling problem is considered. The primary objective is to minimize the total completion times. The predictability of the schedule is measured by the completion time deviations between the predictive schedule and realized schedule. The surrogate measure of predictability is chosen to evaluate the completion time deviations. Both of the primary objective and predictability are optimized. In order to absorb the effects of disruptions, the predictive schedule is generated by inserting idle times. Right-shift rescheduling method is used as the rescheduling strategy. Three methods are designed to construct predictive schedules. The computational experiments show that these algorithms provide high predictability with minor sacrifices in shop performance.

Operator Corrections during Text Entry with Word Processing Systems

1982 ◽  
Vol 26 (7) ◽  
pp. 625-628 ◽  
Author(s):  
Alan S. Neal ◽  
William H. Emmons
Keyword(s):  
Error Correction ◽  
Error Detection ◽  
Word Processing ◽  
Processing System ◽  
Performance Data ◽  
Text Entry ◽  
System Data

In order to answer questions related to keying errors and operator corrections, performance data were collected on typists as they keyed text into a simulated word processing system. Data are presented on the frequency of error detection, the amount of time spent correcting errors, the number of characters erased per error correction, and the types of errors corrected. Comparisons are also made between operator corrected and uncorrected errors.

scholarly journals Dynamics of Self-monitoring and Error Detection in Speech Production: Evidence from Mental Imagery and MEG

2015 ◽  
Vol 27 (2) ◽  
pp. 352-364 ◽  
Author(s):  
Xing Tian ◽  
David Poeppel
Keyword(s):  
Speech Production ◽  
Mental Imagery ◽  
Error Detection ◽  
Auditory Feedback ◽  
Spectral Difference ◽  
Self Monitoring ◽  
Onset Delay ◽  
Nonmonotonic Function ◽  
Four Levels ◽  
Pitch Shift

A critical subroutine of self-monitoring during speech production is to detect any deviance between expected and actual auditory feedback. Here we investigated the associated neural dynamics using MEG recording in mental-imagery-of-speech paradigms. Participants covertly articulated the vowel /a/; their own (individually recorded) speech was played back, with parametric manipulation using four levels of pitch shift, crossed with four levels of onset delay. A nonmonotonic function was observed in early auditory responses when the onset delay was shorter than 100 msec: Suppression was observed for normal playback, but enhancement for pitch-shifted playback; however, the magnitude of enhancement decreased at the largest level of pitch shift that was out of pitch range for normal conversion, as suggested in two behavioral experiments. No difference was observed among different types of playback when the onset delay was longer than 100 msec. These results suggest that the prediction suppresses the response to normal feedback, which mediates source monitoring. When auditory feedback does not match the prediction, an “error term” is generated, which underlies deviance detection. We argue that, based on the observed nonmonotonic function, a frequency window (addressing spectral difference) and a time window (constraining temporal difference) jointly regulate the comparison between prediction and feedback in speech.

scholarly journals Completion Time Dynamics Of Doctoral Studies At Makerere University: A Hazard Model Evaluation

2011 ◽  
Vol 7 (3) ◽  
pp. 49-58 ◽  
Author(s):  
Robert Wamala ◽  
Joseph Oonyu ◽  
Bruno Ocaya
Keyword(s):  
Completion Time ◽  
Cox Model ◽  
Graduate Studies ◽  
Doctoral Studies ◽  
Institutional Variables ◽  
Time Dynamics ◽  
Makerere University ◽  
Elapsed Time ◽  
Analysis Methodology ◽  
Completion Times

Issues related to attrition and completion time of graduate studies are certainly an internationally challenging and important area of higher education literature. In this paper, completion time dynamics of doctoral studies at Makerere University were investigated based on data extracted for all 295 candidates in the commencement cohorts from 2000 to 2005. The total elapsed time, from first enrollment to submission of a final copy of a thesis, was adopted as a measure of completion time and event history (survival) analysis methodology was applied. Results reveal a median completion time of 5.0 years. Following a Cox model, in a range of candidate, candidature, discipline and institutional variables, the rate of completion was higher for candidates at younger ages during commencement, international students, those registered in science-related disciplines, and those in commencement cohorts from 2000 to 2002. The model correctly identified the order of completion times by about 72% of the time.

scholarly journals Comparison of Time Taken to Assess Cognitive Function Using a Fully Immersive and Automated Virtual Reality System vs. the Montreal Cognitive Assessment

2021 ◽  
Vol 13 ◽  
Author(s):  
Wei Teen Wong ◽  
Ngiap Chuan Tan ◽  
Jie En Lim ◽  
John Carson Allen ◽  
Wan Sian Lee ◽  
...  
Keyword(s):  
Primary Care ◽  
Virtual Reality ◽  
Cognitive Function ◽  
Cognitive Assessment ◽  
Completion Time ◽  
Age Groups ◽  
Age Group ◽  
Virtual Reality System ◽  
Cognitive Domains ◽  
Completion Times

Introduction: Dementia is increasingly prevalent globally. Existing questionnaire-based cognitive assessment tools may not comprehensively assess cognitive function and real-time task-performance across all cognitive domains. CAVIRE (Cognitive Assessment by VIrtual REality), a fully immersive virtual reality system incorporating automated audio-visual instructions and a scoring matrix was developed to assess the six cognitive domains, with potential to maintain consistency in execution of the testing environment and possibly time-saving in busy primary care practice.Aims: This is a feasibility study to compare the completion times of the questionnaire-based Montreal Cognitive Assessment (MoCA) and the CAVIRE in cognitively-healthy Asian adults aged between 35 and 74 years, overall, and in and across each 10-year age group (35–44; 45–54; 55–64; 65–74).Methods: A total of 100 participants with a MoCA score of 26 or more were recruited equally into the four 10-year age groups at a primary care clinic in Singapore. Completion time for the MoCA assessment for each participant was recorded. They were assessed using the CAVIRE, comprising 13 segments featuring common everyday activities assessing all six cognitive domains, and the completion time was also recorded through the embedded automated scoring and timing framework.Results: Completion time for CAVIRE as compared to MoCA was significantly (p &lt; 0.01) shorter, overall (mean difference: 74.9 (SD) seconds) and in each age group. Younger, vs. older, participants completed both the MoCA and CAVIRE tasks in a shorter time. There was a greater variability in the completion time for the MoCA, most markedly in the oldest group, whereas completion time was less variable for the CAVIRE tasks in all age groups, with most consistency in the 45–54 year-age group.Conclusion: We demonstrate almost equivalent completion times for a VR and a questionnaire-based cognition assessment, with inter-age group variation in VR completion time synonymous to that in conventional screening methods. The CAVIRE has the potential to be an alternative screening modality for cognition in the primary care setting.

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