Innovative Technology Enhances B-School Admissions as NMIMS Implements Emotion-Tracking Software
Students participate in prior AI-Personal Interview rounds at NMIMS. Photo Credit: BY SPECIAL ARRANGEMENT
As the season for MBA admissions approaches, candidates may soon encounter a heightened reliance on Artificial Intelligence (AI) in evaluating their applications. In recent years, aspiring students have experienced AI-Personal Interviews (AI-PIs); however, the next admission cycle is set to integrate advanced sentiment analysis, elevating the assessment criteria significantly.
Developed AI models are now adept at interpreting vocal inflections, facial cues, language proficiency, and physical demeanor, enabling evaluators to discern how composed and confident candidates remain under scrutiny. The Narsee Monjee Institute of Management Studies (NMIMS) in Mumbai is actively leveraging collaboration with its alumni to enhance these AI systems for interview settings.
During a standard 20-minute Personal Interview (PI) at NMIMS, 12 minutes will be orchestrated by AI technology, with the remaining 8 minutes supervised by industry veterans, outlined Dr. Sharad Mhaiskar, Pro Vice-Chancellor of NMIMS.
“The underlying goal of these AI models is to meticulously track student reactions to a variety of questions,” stated Dr. Mhaiskar. “This allows us to discern which inquiries generate discomfort and which questions candidates handle adeptly.”
This analytical approach empowers the interview panel to gain deeper insights into applicants’ soft skills—including communication, leadership, self-assurance, and emotional stability.
Although the sentiment analysis model, created by an NMIMS alumnus, is currently undergoing testing, it is anticipated to be deployed in the imminent admission cycle.
Furthermore, a pivotal aspect of this AI-enhanced system is its potential to eradicate human biases, as elucidated by Samir Kamath, NMIMS alumnus and CEO & Co-Founder of Splashgain Technology Solutions, which is contributing to the AI-Personal Interview initiative.
“It is not uncommon for a candidate to falter in various areas during an interview; however, a singular impressive response can disproportionately influence the outcome due to inherent biases. Thus, employing AI to gauge student emotions and establish responsive patterns aids us in mitigating these influences,” Kamath articulated.
On the technical side, the AI constructs a behavioral graph for each candidate, meticulously tracking mood variations and confidence levels throughout the dialogue.
While the AI system plays a substantial role, human oversight remains paramount, with final “post-validation” conducted by experts to ensure equity, particularly when candidates experience notable performance fluctuations in response to specific inquiries.
Thus far, approximately 13,000 prospective students have participated in the traditional versions of AI-led interviews at NMIMS.
Source link: Mid-day.com.
