scholarly journals Slow response times undermine trust in algorithmic (but not human) predictions

2019 ◽  
Author(s):  
Emir Efendic ◽  
Philippe van de Calseyde ◽  
Anthony M Evans

Algorithms consistently perform well on various prediction tasks, but people often mistrust their advice. Here, we demonstrate one component that affects people’s trust in algorithmic predictions: response time. In seven studies (total N = 1928 with 14,184 observations), we find that people judge slowly generated predictions from algorithms as less accurate and they are less willing to rely on them. This effect reverses for human predictions, where slowly generated predictions are judged to be more accurate. In explaining this asymmetry, we find that slower response times signal the exertion of effort for both humans and algorithms. However, the relationship between perceived effort and prediction quality differs for humans and algorithms. For humans, prediction tasks are seen as difficult and effort is therefore positively correlated with the perceived quality of predictions. For algorithms, however, prediction tasks are seen as easy and effort is therefore uncorrelated to the quality of algorithmic predictions. These results underscore the complex processes and dynamics underlying people’s trust in algorithmic (and human) predictions and the cues that people use to evaluate their quality.

2021 ◽  
Vol 3 (1) ◽  
pp. 21-24
Author(s):  
Ali Humardani ◽  
Yuly Peristiowati ◽  
Agusta D. Ellina

Handling emergency cases must not only be carried out quickly but also must be precise. Standard Operating Procedures (SOP) is one of the instruments to measure the quality of service. the number of patient visits that can affect the quality of service. Triage is a way of sorting patients based on therapy needs and available resources. Therapy is based on ABC conditions (Airway, with cervical spine control, Breathing, and Circulation with bleeding control). On the other hand, the COVID-19 pandemic greatly affects the response time, impacting the number of patient visits. Response time is the time between the beginning of a request being responded to in other words it can be called response time. A good response time for patients is 5 minutes. The purpose of this study was to identify the relationship between the number of patient visits and the accuracy of triage implementation and response time. The electronic database used is PubMed, Springer, and Google Scholar with a search strategy using the PICO (patient, intervention, comparison, and outcome) method.


Author(s):  
Miroljub Kljajic

The relationship between industrial and scientific knowledge and systems methodologies is discussed in this paper. As the measure of the former on the macro level, Gross Domestic Product (GDP) is assumed to be the consequence of systems’ Research and Development (R&D), which is estimated indirectly by the number of articles published in academic journals in the last 40 years. It is assumed that Production, Management and Information Systems (IS) can be considered suitable main representatives of the quality of organizational processes and that GDP is their consequence. In turn, the Systems Approach (SA), Systems Engineering (SE), Operational Research (OR), Information Systems Development (ISD) and Simulation represent the methodology set for coping with organizational complex processes. We looked for the articles containing the aforementioned variables as topic keywords in core scientific databases. Results show a sufficient correlation between the number of publications and the GDP.


2010 ◽  
Vol 29 (4) ◽  
pp. 214 ◽  
Author(s):  
Margaret Brown-Sica ◽  
Jeffrey Beall ◽  
Nina McHale

Response time as defined for this study is the time that it takes for all files that constitute a single webpage to travel across the Internet from a Web server to the end user’s browser. In this study, the authors tested response times on queries for identical items in five different library catalogs, one of them a next-generation (NextGen) catalog. The authors also discuss acceptable response time and how it may affect the discovery process. They suggest that librarians and vendors should develop standards for acceptable response time and use it in the product selection and development processes.


2020 ◽  
Vol 13 (3) ◽  
pp. 301-319 ◽  
Author(s):  
Yariv Itzkovich ◽  
Niva Dolev ◽  
Moran Shnapper-Cohen

PurposeThe purpose of this study is to assess the relationship between incivility and two organizational and personal attitudes, namely, perceived ethical climate and perceived quality of work-life of nurses, in the framework of organizational climate.Design/methodology/approachQuantitative data of 148 nurses working in a medium-sized hospital in Israel were collected. Furthermore, qualitative data were collected through semi-structured interviews with 12 nurses and 14 doctors from the same hospital, constructing a mixed-method approach.FindingsFindings revealed that witnessing or experiencing incivility affected the nurses' perception of the ethical climate of their work unit and their perceived quality of their work-life. Additionally, we found that the relationship between incivility and nurses' perceived quality of work-life was partially mediated through their perceived ethical climate. The qualitative data supported some of the findings.Originality/valueThe article stretches the incivility theory beyond its dyadic boundaries, prominently showing the spillover effect of incivility as an organizational problem. Additionally, it offers some evidence-based support for the multidimensionality of incivility, strengthening the need for a construct cleanup.


2009 ◽  
Vol 17 (1) ◽  
pp. 69-79 ◽  
Author(s):  
Hamid R. Sohrabi ◽  
Kristyn A. Bates ◽  
Mark Rodrigues ◽  
Kevin Taddei ◽  
Georgia Martins ◽  
...  

2011 ◽  
Vol 26 (S1) ◽  
pp. s21-s21
Author(s):  
J. Turner

PurposeResponse time performance for emergency calls has been used as an indicator of ambulance service quality in England since 1974. It was revised in 1996 with targets set of eight minutes for life-threatening (category A) and 19 minutes for urgent (category B) calls. Internationally, response time has been used as the benchmark for emergency medical services (EMS) performance. The evidence to support use of response times as a quality measure has been examined.MethodsA rapid review was used to assess the evidence base for the eight minute response time target. Also, a descriptive observational study of the clinical characteristics of category B calls was performed using two months patient report form data from one English ambulance service.ResultsFive papers were identified that have examined the relationship between response time and mortality for 911/999 emergency call populations. Four papers were from the USA, and in all cases no survival benefit was found for response times > 5 minutes even after adjustment for variables including age, sex and illness severity. This finding was replicated in one UK study. The descriptive study examined call characteristics for 26,882 category B calls. Half of the patients received no intervention other than basic vital signs measurement and 75% had assessment only. Twenty-five percent required some clinical intervention with the majority only requiring oxygen. Less than 5% received significant intervention such as drugs, intravenous cannula, or airway management.ConclusionsWith the exception of cardiac arrest there is consistent evidence that response time has no impact on mortality for EMS calls. Alternative indicators of quality of care should be developed that allow less focus on time targets and more effort on innovation and development of services which could better meet the needs of the majority of patients who do not have a life-threatening problem.


2017 ◽  
Vol 19 (1) ◽  
pp. 19
Author(s):  
Rindang Matoati ◽  
Suci Paramitasari Syahlani

The aim of this study is to examine the effect that the country of design and the country of manufacture has on the perceived quality of a product, and the role of involvement as a moderating variable. The conceptual framework has been tested using laboratory experiments that included a 2x2x2 between the subject’s factorial designs. Data have been collected using a randomization method to reduce any bias in the group’s variations. This data were analyzed using a one-way and two-way ANOVA. The results indicate that there is no difference between the high and low points of a product’s perceived quality, based on its country of design. Conversely, a favorable country of manufacture results in a higher perceived quality for its products, than for those of a lower scoring country of manufacture. Furthermore, consumers’ involvement, as a moderating variable, limits the strength of the country of design and the perceived quality’s relationship as this relationship is found to be stronger in circumstances where the consumers’ involvement is greater than in the less involved group’s condition. However, consumers’ involvement does not have any role as a moderating variable in the relationship between the country of manufacture and the perceived quality.


2021 ◽  
Vol VI (I) ◽  
pp. 70-78
Author(s):  
Mahvish Fatima Kashif ◽  
Ayesha Batool ◽  
Sana Hafeez

The objective of the study was to identify the relationship of different dimensions of perceived quality of home environment and self-concept of undergraduate university students. Correlational research was selected as the research design. The population of the study was university students of the education department of public and private universities of Lahore. The total population was 1760. A proportionate stratified random sampling technique was used to select the sample. The strata were formed on the basis of the nature of the universities. The total number of students selected as the sample was 528. The instrument consisted of three parts; the first part consisted of demographic information (gender, nature of institution). The second part consisted of the Home Environment Inventory, designed by Misra (1983) to measure the quality of the home environment and the third part consisted of the Self-Concept Scale by Rastogi (1979) to measure self-concept. Multiple regression analysis was used to determine the relationship between the variables. The results indicated a significant relationship between the home environment and the self-concept of university students.


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