Digital Coaching System for Real Options Analysis with Multi-expert and Machine Learning Support

Jani Kinnunen; Mikael Collan; Irina Georgescu; Zahra Hosseini

doi:10.1007/978-3-030-90963-5_35

Digital Coaching System for Real Options Analysis with Multi-expert and Machine Learning Support

Jani Kinnunen, Mikael Collan, Irina Georgescu^*, Zahra Hosseini

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

4 Citations (Scopus)

Abstract

Digitalization and artificial intelligence are growing in importance as parts of decision-support tools in various application domains. One of the important developments in this vein has been the creation of interactive tools for coaching users of complex decision-support systems to help them successfully and correctly use the said systems. This paper focuses on digital coaching in the context of strategic investment analysis, specifically connected to fuzzy real options analysis (ROA). We present some important and difficult choices connected to ROA and discuss how digital coaching may assist users in better using ROA tools. We illustrate the real-world use of digital coaching in the contexts of cash-flow evaluation with machine learning support and aggregation of cash-flows from multiple experts. The discussion and the cases illustrate well how digital coaching can make a difference, especially for an inexperienced user, in guiding users to use complex tools correctly and in creating better circumstances for credible analyses. The findings presented are new and contribute specifically to the literature on digital coaching and real options analysis.

Original language	English
Title of host publication	HCI International 2021 - Late Breaking Papers
Subtitle of host publication	Multimodality, eXtended Reality, and Artificial Intelligence
Editors	Constantine Stephanidis, Masaaki Kurosu, Jessie Y.C. Chen, Gino Fragomeni, Norbert Streitz, Shin’ichi Konomi, Helmut Degen, Stavroula Ntoa
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	455-473
Number of pages	19
ISBN (Print)	9783030909628
DOIs	https://doi.org/10.1007/978-3-030-90963-5_35
Publication status	Published - 2021
MoE publication type	A4 Article in a conference publication
Event	23rd International Conference on Human-Computer Interaction, HCII 2021 - Virtual, Online Duration: 24 Jul 2021 → 29 Jul 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13095 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	23rd International Conference on Human-Computer Interaction, HCII 2021
City	Virtual, Online
Period	24/07/21 → 29/07/21

Keywords

Decision-support
Digital coaching
Machine learning
Real options
Strategic investments

Access to Document

10.1007/978-3-030-90963-5_35

Cite this

Kinnunen, J., Collan, M., Georgescu, I., & Hosseini, Z. (2021). Digital Coaching System for Real Options Analysis with Multi-expert and Machine Learning Support. In C. Stephanidis, M. Kurosu, J. Y. C. Chen, G. Fragomeni, N. Streitz, S. Konomi, H. Degen, & S. Ntoa (Eds.), HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intelligence (pp. 455-473). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13095 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-90963-5_35

Kinnunen, Jani ; Collan, Mikael ; Georgescu, Irina et al. / Digital Coaching System for Real Options Analysis with Multi-expert and Machine Learning Support. HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intelligence . editor / Constantine Stephanidis ; Masaaki Kurosu ; Jessie Y.C. Chen ; Gino Fragomeni ; Norbert Streitz ; Shin’ichi Konomi ; Helmut Degen ; Stavroula Ntoa. Springer Science and Business Media Deutschland GmbH, 2021. pp. 455-473 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{b32a5e99b683420ca6f69a12e0d2e345,

title = "Digital Coaching System for Real Options Analysis with Multi-expert and Machine Learning Support",

abstract = "Digitalization and artificial intelligence are growing in importance as parts of decision-support tools in various application domains. One of the important developments in this vein has been the creation of interactive tools for coaching users of complex decision-support systems to help them successfully and correctly use the said systems. This paper focuses on digital coaching in the context of strategic investment analysis, specifically connected to fuzzy real options analysis (ROA). We present some important and difficult choices connected to ROA and discuss how digital coaching may assist users in better using ROA tools. We illustrate the real-world use of digital coaching in the contexts of cash-flow evaluation with machine learning support and aggregation of cash-flows from multiple experts. The discussion and the cases illustrate well how digital coaching can make a difference, especially for an inexperienced user, in guiding users to use complex tools correctly and in creating better circumstances for credible analyses. The findings presented are new and contribute specifically to the literature on digital coaching and real options analysis.",

keywords = "Decision-support, Digital coaching, Machine learning, Real options, Strategic investments",

author = "Jani Kinnunen and Mikael Collan and Irina Georgescu and Zahra Hosseini",

note = "Funding Information: Acknowledgements. This research is supported by the Finnish Strategic Research Council at the Academy of Finland project Manufacturing 4.0 grants 335980 and 335990. Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 23rd International Conference on Human-Computer Interaction, HCII 2021 ; Conference date: 24-07-2021 Through 29-07-2021",

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doi = "10.1007/978-3-030-90963-5_35",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "455--473",

editor = "Constantine Stephanidis and Masaaki Kurosu and Chen, {Jessie Y.C.} and Gino Fragomeni and Norbert Streitz and Shin{\textquoteright}ichi Konomi and Helmut Degen and Stavroula Ntoa",

booktitle = "HCI International 2021 - Late Breaking Papers",

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Kinnunen, J, Collan, M, Georgescu, I & Hosseini, Z 2021, Digital Coaching System for Real Options Analysis with Multi-expert and Machine Learning Support. in C Stephanidis, M Kurosu, JYC Chen, G Fragomeni, N Streitz, S Konomi, H Degen & S Ntoa (eds), HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intelligence . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13095 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 455-473, 23rd International Conference on Human-Computer Interaction, HCII 2021, Virtual, Online, 24/07/21. https://doi.org/10.1007/978-3-030-90963-5_35

Digital Coaching System for Real Options Analysis with Multi-expert and Machine Learning Support. / Kinnunen, Jani; Collan, Mikael; Georgescu, Irina et al.
HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intelligence . ed. / Constantine Stephanidis; Masaaki Kurosu; Jessie Y.C. Chen; Gino Fragomeni; Norbert Streitz; Shin’ichi Konomi; Helmut Degen; Stavroula Ntoa. Springer Science and Business Media Deutschland GmbH, 2021. p. 455-473 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13095 LNCS).

Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

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AU - Kinnunen, Jani

AU - Collan, Mikael

AU - Georgescu, Irina

AU - Hosseini, Zahra

N1 - Funding Information: Acknowledgements. This research is supported by the Finnish Strategic Research Council at the Academy of Finland project Manufacturing 4.0 grants 335980 and 335990. Publisher Copyright: © 2021, Springer Nature Switzerland AG.

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N2 - Digitalization and artificial intelligence are growing in importance as parts of decision-support tools in various application domains. One of the important developments in this vein has been the creation of interactive tools for coaching users of complex decision-support systems to help them successfully and correctly use the said systems. This paper focuses on digital coaching in the context of strategic investment analysis, specifically connected to fuzzy real options analysis (ROA). We present some important and difficult choices connected to ROA and discuss how digital coaching may assist users in better using ROA tools. We illustrate the real-world use of digital coaching in the contexts of cash-flow evaluation with machine learning support and aggregation of cash-flows from multiple experts. The discussion and the cases illustrate well how digital coaching can make a difference, especially for an inexperienced user, in guiding users to use complex tools correctly and in creating better circumstances for credible analyses. The findings presented are new and contribute specifically to the literature on digital coaching and real options analysis.

AB - Digitalization and artificial intelligence are growing in importance as parts of decision-support tools in various application domains. One of the important developments in this vein has been the creation of interactive tools for coaching users of complex decision-support systems to help them successfully and correctly use the said systems. This paper focuses on digital coaching in the context of strategic investment analysis, specifically connected to fuzzy real options analysis (ROA). We present some important and difficult choices connected to ROA and discuss how digital coaching may assist users in better using ROA tools. We illustrate the real-world use of digital coaching in the contexts of cash-flow evaluation with machine learning support and aggregation of cash-flows from multiple experts. The discussion and the cases illustrate well how digital coaching can make a difference, especially for an inexperienced user, in guiding users to use complex tools correctly and in creating better circumstances for credible analyses. The findings presented are new and contribute specifically to the literature on digital coaching and real options analysis.

KW - Decision-support

KW - Digital coaching

KW - Machine learning

KW - Real options

KW - Strategic investments

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U2 - 10.1007/978-3-030-90963-5_35

DO - 10.1007/978-3-030-90963-5_35

M3 - Conference contribution

AN - SCOPUS:85119870603

SN - 9783030909628

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - HCI International 2021 - Late Breaking Papers

A2 - Stephanidis, Constantine

A2 - Kurosu, Masaaki

A2 - Chen, Jessie Y.C.

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A2 - Streitz, Norbert

A2 - Konomi, Shin’ichi

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PB - Springer Science and Business Media Deutschland GmbH

T2 - 23rd International Conference on Human-Computer Interaction, HCII 2021

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Kinnunen J, Collan M, Georgescu I, Hosseini Z. Digital Coaching System for Real Options Analysis with Multi-expert and Machine Learning Support. In Stephanidis C, Kurosu M, Chen JYC, Fragomeni G, Streitz N, Konomi S, Degen H, Ntoa S, editors, HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intelligence . Springer Science and Business Media Deutschland GmbH. 2021. p. 455-473. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-90963-5_35

Digital Coaching System for Real Options Analysis with Multi-expert and Machine Learning Support

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Keywords

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