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Consciousness: effect of coaching process and specifics through AI usage

Ekaterina Movsumova, Vasiliy Alexandrov, Larisa Rudenko, Valeria Aizen, Svetlana Sidelnikova, Mikhail Voytko

Abstract

The main purpose of the article is to investigate how coaching itself affects a person and evaluate it as an effective tool. The second goal is to find out what the features of coaching with use of an AI based assistant are. The problem of studying the effectiveness of coaching is indicated by the purpose of finding out, based on the results of the work in the session, to what extent the result obtained will lead the respondent to specific actions. To this end, the main measurable metrics were stress level, willingness to act, and clarity regarding the request. The study confirmed that the majority of sessions had a "positive" dynamic in at least one of the consciousness components (increase of clarity or willingness to act and decrease of stress). The key implication is that it is important to keep a coachee away from stress to create space for clarity and willingness to act.

The research results show that an AI-based tool is more effective in new requests with high importance for a client regarding willingness to act and clarity, confidential requests in terms of privacy and sensitivity regarding clarity. A coach is perceived as overall stronger in usefulness, effectiveness and stress reduction. Analyzing the results of the coach-AI-assistant interaction, the study shows that AI broadens the vision of coaches.

From the point of view of the threat of the coach-bot interaction, there is a bottleneck that emerged during the feedback process during the study. In several sessions, coaches were not able to develop an emotional connection well enough through written dialogue - due to the absence of face-to-face contact. One of the key outcomes regarding the "client-coach" interaction is the high importance of emotional contact.

Keywords: AI-assisted tool, coaching process, stress reduction, clarity increase, coaching effectiveness, confidential request, human coach-bot

References

AUTHORS

Ekaterina Movsumova

Ekaterina Movsumova is a founder and CEO of the Mentorbot service. She has a master's degree in Social Science. As a certified coach and a founder of the Mentorbot AI online coaching service, she explores and focuses on coaching methodology effectiveness with AI-assisted tool support.

Vasily Alexandrov

Vasily Alexandrov, data scientist at Neüro. Focuses on emotion research and detection using EEG hardware. Created several products including EEG-based career guidance.

Larisa Rudenko

Larisa Rudenko has a PhD in sociology. Her professional and research experience include analyses of the development of the internal audit profession. As a coach, she currently focuses her interest on understanding and validating coaching effects and instruments.

Valeria Aizen

Valeria Aizen has a master's degree in Political Science. She is a certified coach and mentor. Her research and professional interests focus on the neuroscience behind training and development, as well as HR and educational technologies. She possesses professional background in technology, market and business sociology research.

Svetlana Sidelnikova

Svetlana Sidelnikova has a master's degree in Economics, is a certified coach and practices coaching and mentoring. Her research interest is to identify situations (types of client, types of request, etc.) in which AI can enhance the result of a coaching session for the client.

Mikhail Voytko

Mikhail Voytko is responsible for the support of the ecosystem members at Sberbank. Mikhail is focused on researching users' behavior, problem interviews, and quantitative methods of users' decision-making mechanisms.

About the article

DOI: https://doi.org/10.15219/em86.1485

The article is in the printed version on pages 79-86.

pdf read the article (English)

How to cite

Movsumova, E., Alexandrov, V., Rudenko, L., Aizen, V., Sidelnikova, S., & Voytko, M. (2020). Consciousness: effect of coaching process and specifics through AI usage. e-mentor, 4(86), 79-86. https://doi.org/10.15219/em86.1485