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

^*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

3 Sitaatiot (Scopus)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	HCI International 2021 - Late Breaking Papers
Alaotsikko	Multimodality, eXtended Reality, and Artificial Intelligence
Toimittajat	Constantine Stephanidis, Masaaki Kurosu, Jessie Y.C. Chen, Gino Fragomeni, Norbert Streitz, Shin’ichi Konomi, Helmut Degen, Stavroula Ntoa
Kustantaja	Springer Science and Business Media Deutschland GmbH
Sivut	455-473
Sivumäärä	19
ISBN (painettu)	9783030909628
DOI - pysyväislinkit	https://doi.org/10.1007/978-3-030-90963-5_35
Tila	Julkaistu - 2021
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	23rd International Conference on Human-Computer Interaction, HCII 2021 - Virtual, Online Kesto: 24 heinäk. 2021 → 29 heinäk. 2021

Julkaisusarja

Nimi	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vuosikerta	13095 LNCS
ISSN (painettu)	0302-9743
ISSN (elektroninen)	1611-3349

Konferenssi

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

Pääsy asiakirjaan

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

Muut tiedostot ja linkit

Linkki julkaisuun Scopuksessa

Viittausmuodot

Kinnunen, J., Collan, M., Georgescu, I., & Hosseini, Z. (2021). Digital Coaching System for Real Options Analysis with Multi-expert and Machine Learning Support. teoksessa C. Stephanidis, M. Kurosu, J. Y. C. Chen, G. Fragomeni, N. Streitz, S. Konomi, H. Degen, & S. Ntoa (Toimittajat), HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intelligence (Sivut 455-473). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta 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 . Toimittaja / 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. Sivut 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",

year = "2021",

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

language = "English",

isbn = "9783030909628",

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

publisher = "Springer Science and Business Media Deutschland GmbH",

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",

}

Kinnunen, J, Collan, M, Georgescu, I & Hosseini, Z 2021, Digital Coaching System for Real Options Analysis with Multi-expert and Machine Learning Support. julkaisussa C Stephanidis, M Kurosu, JYC Chen, G Fragomeni, N Streitz, S Konomi, H Degen & S Ntoa (toim), 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), Vuosikerta 13095 LNCS, Springer Science and Business Media Deutschland GmbH, Sivut 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 . toim. / 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. s. 455-473 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta 13095 LNCS).

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

TY - GEN

T1 - Digital Coaching System for Real Options Analysis with Multi-expert and Machine Learning Support

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.

PY - 2021

Y1 - 2021

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

UR - http://www.scopus.com/inward/record.url?scp=85119870603&partnerID=8YFLogxK

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)

SP - 455

EP - 473

BT - HCI International 2021 - Late Breaking Papers

A2 - Stephanidis, Constantine

A2 - Kurosu, Masaaki

A2 - Chen, Jessie Y.C.

A2 - Fragomeni, Gino

A2 - Streitz, Norbert

A2 - Konomi, Shin’ichi

A2 - Degen, Helmut

A2 - Ntoa, Stavroula

PB - Springer Science and Business Media Deutschland GmbH

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

Y2 - 24 July 2021 through 29 July 2021

ER -

Kinnunen J, Collan M, Georgescu I, Hosseini Z. Digital Coaching System for Real Options Analysis with Multi-expert and Machine Learning Support. julkaisussa Stephanidis C, Kurosu M, Chen JYC, Fragomeni G, Streitz N, Konomi S, Degen H, Ntoa S, toimittajat, HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intelligence . Springer Science and Business Media Deutschland GmbH. 2021. s. 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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