Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Louis Hickman"'
Publikováno v:
The Journal of Positive Psychology. :1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ded5064f295719d93843f93e825ef8a
https://doi.org/10.1080/17439760.2022.2109201
https://doi.org/10.1080/17439760.2022.2109201
Publikováno v:
The Journal of Positive Psychology. :1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f06abdc6b0214f8d82e00e6ef6309fb
https://doi.org/10.1080/17439760.2022.2109202
https://doi.org/10.1080/17439760.2022.2109202
Assessment center (AC) exercises such as role-plays have established themselves as valuable approaches for obtaining insights into interpersonal behavior, but they are often considered the “Rolls Royce” of personnel assessment due to their high c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60f5c31c1bb1f395bbd28cd1c8cac1dc
https://hdl.handle.net/10919/113932
https://hdl.handle.net/10919/113932
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b04755caafbe6161b6233baef3834eed
https://doi.org/10.2139/ssrn.4365176
https://doi.org/10.2139/ssrn.4365176
Autor:
Shree Krishna Subburaj, Sang Eun Woo, Sidney K. D'Mello, Louis Hickman, Louis Tay, Brandon M. Booth
Publikováno v:
IEEE Signal Processing Magazine. 38:84-95
We provide a psychometric-grounded exposition of bias and fairness as applied to a typical machine learning pipeline for affective computing. We expand on an interpersonal communication framework to elucidate how to identify sources of bias that may
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7f6666f7c902f88f1d01ef662f12929
https://doi.org/10.1109/msp.2021.3106615
https://doi.org/10.1109/msp.2021.3106615
Publikováno v:
Proc ACM Hum Comput Interact
Effective ways to measure employee job satisfaction are fraught with problems of scale, misrepresentation, and timeliness. Current methodologies are limited in capturing subjective differences in expectations, needs, and values at work, and they do n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca9020262d4512cf2421f1184c81fa45
https://doi.org/10.1145/3449241
https://doi.org/10.1145/3449241
Publikováno v:
Innovation in Aging. 6:105-106
One surprising finding in the field of dyadic influence is the minimal influence that couple personality similarity has for life and relational well-being. Most research has focused on pairing of symmetric psychological characteristics on a broad, tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52ec373061af6cfbd5f49c6daa87c57a
https://doi.org/10.1093/geroni/igac059.418
https://doi.org/10.1093/geroni/igac059.418
Publikováno v:
Organizational Research Methods. 25:114-146
Recent advances in text mining have provided new methods for capitalizing on the voluminous natural language text data created by organizations, their employees, and their customers. Although often overlooked, decisions made during text preprocessing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::593dabe04d947a01b058ee1dabeca54e
https://doi.org/10.1177/1094428120971683
https://doi.org/10.1177/1094428120971683
Publikováno v:
European Journal of Personality. 34:826-844
In the age of big data, substantial research is now moving toward using digital footprints like social media text data to assess personality. Nevertheless, there are concerns and questions regarding the psychometric and validity evidence of such appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac9de0dc417b485ae33227136b9c2a55
https://doi.org/10.1002/per.2290
https://doi.org/10.1002/per.2290
Publikováno v:
Data, Methods and Theory in the Organizational Sciences ISBN: 9781003015000
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77b94f8413b77680afc16e5038cb14c7
https://doi.org/10.4324/9781003015000-7
https://doi.org/10.4324/9781003015000-7