Personality and Cognition in Human–AI Interaction

Topic Information

Dear Colleagues,

The goal of this topic is to educate and generate continued interest and enthusiasm in research on personality and cognition in human–AI interaction.

Although extensive research has been conducted to explore the influence of personality on cognition, it remains unclear as to whether these same relationships manifest in human–AI interaction. Examples of human–AI interaction include, but are not limited to, virtual assistants such as Siri, Alexa, Google Assistant, ChatGPT, AI-powered chatbots, and AI companions. Given the rapid development of AI technology, a more comprehensive understanding of how personality may influence cognitive processes in human–AI interaction is essential because it profoundly shapes the conclusions of findings and the focus of future research.

Here, we define personality broadly as individual differences that can distinguish one person from another, including but not limited to personality traits such as the “Big Five”, self-concept, emotions, intelligence, emotional intelligence, and motives. Personality profoundly shapes how individuals interact with the world. It influences various aspects of social engagement, from initial encounters, trust formation, to cooperation and the maintenance of long-term relationships. We are interested in understanding how personality may relate to cognitive processes and functions, from attention, perception, and memory to decision-making, mindsets, and problem-solving.

Therefore, a central issue we aimed to discuss within this topic is the relationship between personality and cognition in human–AI interaction from the perspective of a wide range of individual differences and cognitive processes. Specifically, we invite you to explore the parallels and distinctions in how personality and cognition influence interactions between humans and AI compared to human–human interactions. This juxtaposition will serve to clarify the knowledge gained.

We invite you to contribute a paper to this topic, which we anticipate will be a stimulating exploration. We aim to uncover hidden connections and contrasts between different research approaches, fostering innovative ideas for future work.

Prof. Dr. Virginia Sau Y. Kwan
Dr. Samantha McMichael
Dr. Julia Brailovskaia
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Behavioral Sciences behavsci	2.5	3.1	2011	28.7 Days	CHF 2200	Submit
European Journal of Investigation in Health, Psychology and Education ejihpe	3.0	5.1	2011	26.9 Days	CHF 1400	Submit
Social Sciences socsci	1.7	3.1	2012	34.2 Days	CHF 1800	Submit

Preprints.org is a multidisciplinary platform offering a preprint service designed to facilitate the early sharing of your research. It supports and empowers your research journey from the very beginning.

MDPI Topics is collaborating with Preprints.org and has established a direct connection between MDPI journals and the platform. Authors are encouraged to take advantage of this opportunity by posting their preprints at Preprints.org prior to publication:

1. Share your research immediately: disseminate your ideas prior to publication and establish priority for your work.
2. Safeguard your intellectual contribution: Protect your ideas with a time-stamped preprint that serves as proof of your research timeline.
3. Boost visibility and impact: Increase the reach and influence of your research by making it accessible to a global audience.
4. Gain early feedback: Receive valuable input and insights from peers before submitting to a journal.
5. Ensure broad indexing: Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers