When the machine learns from users, is it helping or snooping?-Reference-Cited by-同舟云学术

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When the machine learns from users, is it helping or snooping?

Published:2023-01 Issue: Volume:138 Page:107427
ISSN:0747-5632
Container-title:Computers in Human Behavior
language:en
Short-container-title:Computers in Human Behavior

Author:

Lee Sangwook,Moon Won-Ki,Lee Jae-Gil,Sundar S. Shyam

Funder

National Research Foundation of Korea

Ministry of Education

Publisher

Elsevier BV

Subject

General Psychology,Human-Computer Interaction,Arts and Humanities (miscellaneous)

Reference47 articles.

1. Explain the intention to use smartphones for mobile shopping;Agrebi;Journal of Retailing and Consumer Services,2015

2. The personalization-privacy paradox: An empirical evaluation of information transparency and the willingness to be profiled online for personalization;Awad;MIS Quarterly,2006

3. Transparent, scrutable and explainable user models for personalized recommendation;Balog,2019

4. Interpersonal expectations, expectancy violations, and emotional communication;Burgoon;Journal of Language and Social Psychology,1993

5. Heuristic versus systematic information processing and the use of source versus message cues in persuasion;Chaiken;Journal of Personality and Social Psychology,1980

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