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Virtual AIVantage: Leveraging Large Language Models for Enhanced VR Interview Preparation among Underrepresented Professionals in Computing

Authors:

Siddhanth Jayaraj Ajri,

Dat Nguyen,

Swati Agarwal,

Arun Kumar Reddy Padala,

Caglar YildirimAuthors Info & Claims

MUM '23: Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia

Pages 535 - 537

https://doi.org/10.1145/3626705.3631799

Published: 03 December 2023 Publication History

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Abstract

Technical interviews, a cornerstone of the hiring process for computer science (CS) jobs, often prove to be particularly stressful for individuals from underrepresented backgrounds in CS circles, including women and people of color. The heightened stress and pressure can negatively affect these individuals’ sense of belonging in CS. This paper introduces Virtual AIVantage, an innovative tool designed to address this issue by leveraging virtual reality (VR) and artificial intelligence (AI) to revolutionize technical interview preparation for underrepresented individuals in CS. Virtual AIVantage provides a bespoke, VR-based training experience, simulating realistic interview scenarios with the aid of AI-powered conversational agents. By using the capabilities of OpenAI’s GPT-4, the tool offers real-time feedback, guidance, and example responses, fostering a comprehensive interview readiness for users.

References

[1]

Mahnaz Behroozi, Shivani Shirolkar, Titus Barik, and Chris Parnin. 2020. Debugging hiring: What went right and what went wrong in the technical interview process. In Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering in Society. 71–80.

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[2]

Mahnaz Behroozi, Shivani Shirolkar, Titus Barik, and Chris Parnin. 2020. Does stress impact technical interview performance?. In Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. 481–492.

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[3]

Phillip Hall Jr and Kinnis Gosha. 2018. The effects of anxiety and preparation on performance in technical interviews for hbcu computer science majors. In Proceedings of the 2018 ACM SIGMIS Conference on Computers and People Research. 64–69.

Digital Library

Google Scholar

[4]

Stephanie Lunn, Monique Ross, Zahra Hazari, Mark Allen Weiss, Michael Georgiopoulos, and Kenneth Christensen. 2021. The Impact of Technical Interviews, and other Professional and Cultural Experiences on Students’ Computing Identity. In Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1. 415–421.

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Cited By

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Arnold RSchuldt HXu SLuo YDauwels JKhong AWang ZChen QCai CShi WChua T(2024)Multimodal Understanding: Investigating the Capabilities of Large Multimodal Models for Object Detection in XR ApplicationsProceedings of the 2nd Workshop on Large Generative Models Meet Multimodal Applications10.1145/3688866.3689126(26-35)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3688866.3689126
Bozkir EÖzdel SLau KWang MGao HKasneci E(2024)Embedding Large Language Models into Extended Reality: Opportunities and Challenges for Inclusion, Engagement, and PrivacyProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665563(1-7)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3640794.3665563

Index Terms

Virtual AIVantage: Leveraging Large Language Models for Enhanced VR Interview Preparation among Underrepresented Professionals in Computing
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Virtual reality

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Published In

MUM '23: Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia

December 2023

607 pages

ISBN:9798400709210

DOI:10.1145/3626705

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 03 December 2023

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MUM '23

MUM '23: International Conference on Mobile and Ubiquitous Multimedia

December 3 - 6, 2023

Vienna, Austria

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Arnold RSchuldt HXu SLuo YDauwels JKhong AWang ZChen QCai CShi WChua T(2024)Multimodal Understanding: Investigating the Capabilities of Large Multimodal Models for Object Detection in XR ApplicationsProceedings of the 2nd Workshop on Large Generative Models Meet Multimodal Applications10.1145/3688866.3689126(26-35)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3688866.3689126
Bozkir EÖzdel SLau KWang MGao HKasneci E(2024)Embedding Large Language Models into Extended Reality: Opportunities and Challenges for Inclusion, Engagement, and PrivacyProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665563(1-7)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3640794.3665563

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Incorporating Technical Interview Training into an HBCU Pre-Freshman Programming Bootcamp

Effect of VR technology matureness on VR sickness

VR Grabbers: Ungrounded Haptic Retargeting for Precision Grabbing Tools

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