AI Medical Compendium Journal:
The Journal of applied psychology

Showing 1 to 10 of 14 articles

Managing online employer reviews: An impression management perspective for talent recruitment.

The Journal of applied psychology
The powerful effects of electronic word of mouth on employer branding and prehire outcomes suggest a need for employers to formulate effective responses to employer reviews on social media. Using machine learning and text-mining techniques, we identi...

Automated speech recognition bias in personnel selection: The case of automatically scored job interviews.

The Journal of applied psychology
Organizations, researchers, and software increasingly use automatic speech recognition (ASR) to transcribe speech to text. However, ASR can be less accurate for (i.e., biased against) certain demographic subgroups. This is concerning, given that the ...

Are automated video interviews smart enough? Behavioral modes, reliability, validity, and bias of machine learning cognitive ability assessments.

The Journal of applied psychology
Automated video interviews (AVIs) that use machine learning (ML) algorithms to assess interviewees are increasingly popular. Extending prior AVI research focusing on noncognitive constructs, the present study critically evaluates the possibility of a...

Revisiting the nature and strength of the personality-job performance relations: New insights from interpretable machine learning.

The Journal of applied psychology
Prior research on the relations between the five-factor model (FFM) of personality traits and job performance has suggested mixed findings: Some studies pointed to linear relations, while other studies revealed nonlinear relations. This study address...

How perceived lack of benevolence harms trust of artificial intelligence management.

The Journal of applied psychology
As organizations continue to supplement and replace human management with artificial intelligence (AI), it is essential that we understand the factors that influence employees' trust in AI management. Across one preregistered field study, where we su...

Using natural language processing to increase prediction and reduce subgroup differences in personnel selection decisions.

The Journal of applied psychology
The purpose of this research is to demonstrate how using natural language processing (NLP) on narrative application data can improve prediction and reduce racial subgroup differences in scores used for selection decisions compared to mental ability t...

No person is an island: Unpacking the work and after-work consequences of interacting with artificial intelligence.

The Journal of applied psychology
The artificial intelligence (AI) revolution has arrived, as AI systems are increasingly being integrated across organizational functions into the work lives of employees. This coupling of employees and machines fundamentally alters the work-related i...

How well can an AI chatbot infer personality? Examining psychometric properties of machine-inferred personality scores.

The Journal of applied psychology
The present study explores the plausibility of measuring personality indirectly through an artificial intelligence (AI) chatbot. This chatbot mines various textual features from users' free text responses collected during an online conversation/inter...

Turning words into numbers: Assessing work attitudes using natural language processing.

The Journal of applied psychology
Researchers and practitioners are often interested in assessing employee attitudes and work perceptions. Although such perceptions are typically measured using Likert surveys or some other closed-end numerical rating format, many organizations also h...

The rise of robots increases job insecurity and maladaptive workplace behaviors: Multimethod evidence.

The Journal of applied psychology
Robots are transforming the nature of human work. Although human-robot collaborations can create new jobs and increase productivity, pundits often warn about how robots might replace humans at work and create mass unemployment. Despite these warnings...