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Understanding Information Systems Continuance: An Expectation-Confirmation Model

MIS Q., 2001
This paper examines cognitive beliefs and affect influencing one's intention to continue using (continuance) information systems (IS). Expectation-confirmation theory is adapted from the consumer behavior literature and integrated with theoretical and ...
Anol Bhattacherjee
semanticscholar   +1 more source

"Like Having a Really Bad PA": The Gulf between User Expectation and Experience of Conversational Agents

International Conference on Human Factors in Computing Systems, 2016
The past four years have seen the rise of conversational agents (CAs) in everyday life. Apple, Microsoft, Amazon, Google and Facebook have all embedded proprietary CAs within their software and, increasingly, conversation is becoming a key mode of human ...
E. Luger, A. Sellen
semanticscholar   +1 more source

The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach

Information systems research, 2002
Online shopping provides convenience to Web shoppers, yet its electronic format changes information-gathering methods traditionally used by customers. This change raises questions concerning customer satisfaction with the online purchasing process.
V. McKinney, Kanghyun Yoon, F. Zahedi
semanticscholar   +1 more source

Expectations

Nursing for Women's Health, 2021
After experiencing abusive and dismissive care during the birth of her son, a nurse advocates that all families have a right to expect the best from their care providers.
openaire   +2 more sources

Is It Expected Volatility or Expected Precision? [PDF]

open access: possibleSSRN Electronic Journal, 2020
There is little evidence in support of a normal distribution for most financial assets, including the VIX. This paper concludes that the lambda parameter, in the one-parameter Box & Cox (1964) family, appropriate for VIX to be normal, is minus one (expected precision), which is very far from values of one (no transformation) and zero (logarithm ...
Maria T. Gonzalez-Perez   +1 more
openaire   +1 more source

Expected Utility and Mathematical Expectation

1987
1. Expected utility theory deals with choosing among acts where the decisionmaker does not know for sure which consequence will result from a chosen act. When faced with several acts, the decision–maker will choose the one with the highest ‘expected utility’, where the expected utility of an act is the sum of the products of probability and utility ...
David Schmeidler, Peter P. Wakker
openaire   +2 more sources

The Expectations of Others

SSRN Electronic Journal, 2023
Using a novel dataset that integrates inflation expectations with information on social network connections, we show that inflation expectations within one's social network have a positive, causal relationship with individual inflation expectations. This relationship is stronger for groups that share common demographic characteristics such as gender ...
Ezequiel Garcia-Lembergman   +4 more
openaire   +2 more sources

Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
Retrieving images from large and varied collections using image content as a key is a challenging and important problem. We present a new image representation that provides a transformation from the raw pixel data to a small set of image regions that are
C. Carson   +3 more
semanticscholar   +1 more source

Expecting the expected

2022
The primary principle of managing bipolar disorder in late life involves careful oversight of mood stabilizers and antidepressants. Clinicians must monitor clinical symptoms along with side effects of medications, especially when using lithium, as blood levels and specific metabolic parameters must be followed. Lithium-induced hypercalcemia and lithium-
openaire   +1 more source

The expectation-maximization algorithm

IEEE Signal Processing Magazine, 1996
A common task in signal processing is the estimation of the parameters of a probability distribution function. Perhaps the most frequently encountered estimation problem is the estimation of the mean of a signal in noise.
T. Moon
semanticscholar   +1 more source

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