Smartphone app usage analysis: datasets, methods, and applications
As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …
users has increased dramatically over the last decade. These personal devices, which are …
Artificial intelligence and mass personalization of communication content—An ethical and literacy perspective
E Hermann - New media & society, 2022 - journals.sagepub.com
Artificial intelligence (AI) is (re) shaping communication and contributes to (commercial and
informational) need satisfaction by means of mass personalization. However, the substantial …
informational) need satisfaction by means of mass personalization. However, the substantial …
Leveraging artificial intelligence in marketing for social good—An ethical perspective
E Hermann - Journal of Business Ethics, 2022 - Springer
Artificial intelligence (AI) is (re) shaping strategy, activities, interactions, and relationships in
business and specifically in marketing. The drawback of the substantial opportunities AI …
business and specifically in marketing. The drawback of the substantial opportunities AI …
Descriptive, predictive and explanatory personality research: Different goals, different approaches, but a shared need to move beyond the Big Few traits
We argue that it is useful to distinguish between three key goals of personality science—
description, prediction and explanation—and that attaining them often requires different …
description, prediction and explanation—and that attaining them often requires different …
General pitfalls of model-agnostic interpretation methods for machine learning models
An increasing number of model-agnostic interpretation techniques for machine learning
(ML) models such as partial dependence plots (PDP), permutation feature importance (PFI) …
(ML) models such as partial dependence plots (PDP), permutation feature importance (PFI) …
Bottom-up and top-down: Predicting personality with psycholinguistic and language model features
State-of-the-art personality prediction with text data mostly relies on bottom up, automated
feature generation as part of the deep learning process. More traditional models rely on …
feature generation as part of the deep learning process. More traditional models rely on …
Personal llm agents: Insights and survey about the capability, efficiency and security
Since the advent of personal computing devices, intelligent personal assistants (IPAs) have
been one of the key technologies that researchers and engineers have focused on, aiming …
been one of the key technologies that researchers and engineers have focused on, aiming …
[HTML][HTML] Predicting depression from smartphone behavioral markers using machine learning methods, hyperparameter optimization, and feature importance analysis …
Background Depression is a prevalent mental health challenge. Current depression
assessment methods using self-reported and clinician-administered questionnaires have …
assessment methods using self-reported and clinician-administered questionnaires have …
The finer details? The predictability of life outcomes from Big Five domains, facets, and nuances
Associations between personality traits and life outcomes are usually studied using the Big
Five domains and, occasionally, their facets. But recent research suggests these …
Five domains and, occasionally, their facets. But recent research suggests these …
Ethical machines: The human-centric use of artificial intelligence
Today's increased availability of large amounts of human behavioral data and advances in
artificial intelligence (AI) are contributing to a growing reliance on algorithms to make …
artificial intelligence (AI) are contributing to a growing reliance on algorithms to make …