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Journal

2020 | 4 (86) | 79-86

Article title

Consciousness: effect of coaching process and specifics through AI usage

Content

Title variants

Languages of publication

EN

Abstracts

EN
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.

Journal

Year

Issue

Pages

79-86

Physical description

References

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  • Grant, A. M. (2014). The efficacy of Executive Coaching in times of organizational change. Journal of Change Management, 14(2), 258-280. https://doi.org/10.1080/14697017.2013.805159
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  • Stephens, T. N., Joerin, A., Rauws, M., & Werk, L. N. (2019). Feasibility of pediatric obesity and prediabetes treatment support through Tess, the AI behavioral coaching chatbot. Translational Behavioral Medicine, 9(3), 440-447. https://doi.org/10.1093/tbm/ibz043
  • Sqalli, M. T., & Al-Thani, D. (2019). AI-supported health coaching model for patients with chronic diseases. In 16th International Symposium on Wireless Communication Systems (ISWCS), Oulu, Finland, 2019 (pp. 452-456). IEEE. https://doi.org/10.1109/ISWCS.2019.8877113
  • Theeboom, T., Beersma, B., & van Vianen, A. E. M. (2013). Does coaching work? A meta-analysis on the effects of coaching on individual level outcomes in an organizational context. The Journal of Positive Psychology, 9(1), 1-18. https://doi.org/10.1080/17439760.2013.837499
  • Tooth, J-A., Nielsen, S., & Armstrong, H. (2013). Coaching effectiveness survey instruments: taking stock of measuring the immeasurable. Coaching: An International Journal of Theory, Research and Practice, 6(2), 137-151. https://doi.org/10.1080/17521882.2013.802365

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-cd021b4c-8f0b-43f8-8c9d-4fb4c96b955c
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