Advanced International Journal for Research
E-ISSN: 3048-7641
•
Impact Factor: 9.11
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with AIJFR
Upcoming Conference(s) ↓
WSMCDD-2025
GSMCDD-2025
Conferences Published ↓
RBS:RH-COVID-19 (2023)
ICMRS'23
PIPRDA-2023
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 7 Issue 2
March-April 2026
Indexing Partners
Algorithmic Guidance and Psychological Susceptibility in AI Systems
| Author(s) | Ms. Shradha Bisht, Dr. Devinder Dhalla |
|---|---|
| Country | India |
| Abstract | Conversational artificial intelligence (AI) systems are increasingly used as advisory agents in domains involving career planning, financial decisions, emotional regulation, and productivity enhancement. While existing research primarily evaluates technical performance and accuracy, comparatively little attention has been devoted to the psychological architecture of AI-generated advice. The present study conducted a qualitative comparative discourse analysis of advisory responses generated by three widely used conversational AI systems across eight vulnerability-oriented prompts. Responses were systematically coded for authority language, directive strength, emotional validation, personalization framing, cognitive load reduction, and identity reinforcement cues. Findings indicate that conversational style significantly shapes psychological influence pathways. Systems differed in their levels of emotional validation, executive directive framing, and behavioral scaffolding, suggesting distinct profiles of affective trust activation, authority bias engagement, and cognitive offloading facilitation. Although influence mechanisms were subtle and not inherently harmful, the structural design of advisory outputs may increase compliance, reliance, and identity framing, particularly in contexts of user vulnerability. These findings suggest that conversational AI should be conceptualized not only as informational technology but also as behavioral infrastructure. The study highlights the need for greater awareness of how advisory framing influences user autonomy and calls for interdisciplinary research into ethical design and long-term psychological impact. |
| Keywords | conversational artificial intelligence, algorithmic advice, psychological influence, trust formation, behavioral compliance, cognitive offloading, AI ethics |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 7, Issue 2, March-April 2026 |
| Published On | 2026-04-09 |
Share this

E-ISSN 3048-7641
CrossRef DOI is assigned to each research paper published in our journal.
AIJFR DOI prefix is
10.63363/aijfr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.