The need for a balanced approach that combines technological precision with human empathy
Research gap analysis derived from 3 psychology papers in our local library.
The gap
The gap in current research is the need for a balanced approach that combines technological precision with human empathy. The paper identifies the risk of over-reliance on AI without adequate human oversight. It also highlights the importan
Evidence profile
Sourced from the conclusions and inline gaps and stated research gap of the source papers, classified as general, drawn from work published between 2024 and 2026, spanning 3 journals. Those papers have been cited 54 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- AI-Augmented Decision Intuition and SME Strategic Adaptability among SMEs: The Mediating Role of Human–AI Collaboration Quality and the Moderating Role of Technological Anxiety (2026) · International Review of Management and Marketing · doi
This model needs to be replicated in other geographical areas in future studies to prove external validity. Lastly, the industry-specific dynamics, especially in high-tech industries or government-based organizations, could be investigated in future research to gain a better insight into the contextual variations in the outcome of AI adoption.
generalconclusionsKeywords: future model needs replicated geographical areas prove external validity lastly industry specific dynamics especially high - Technological Readiness as a Driver of Artificial Intelligence Adoption in Public Administration and Auditing: Serial Mediation by Perceived Ease of Use and Perceived Usefulness (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi
Future research could examine the factors shaping the AI adoption process in greater depth. In this regard, the role of variables such as trust in AI, perceived risk and organizational support could be explored in detail. It is clear that investing solely in technical infrastructure is insufficient for the widespread adoption of AI applications in public institutions.
generalinline gapsKeywords: adoption future examine factors shaping process greater depth regard role variables trust perceived risk organizational - Artificial intelligence in mental healthcare: transformative potential vs. the necessity of human interaction (2024) · Frontiers in Psychology · cited 54× · doi
The gap in current research is the need for a balanced approach that combines technological precision with human empathy. The paper identifies the risk of over-reliance on AI without adequate human oversight. It also highlights the importance of addressing adoption complexities, such as regulation, scalability, cost, and practitioner acceptance.
generalstated research gapevidence 5/5Keywords: gap current research need balanced approach combines technological
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