INDCOR white paper 4: Evaluation of Interactive Narrative Design For Complexity Representations

Ágnes Karolina  Bakk; Kirsty Dunlop; Maria  del Mar Grandio; Miguel  Barreda; Despoina  Sampatakou; Cristian  Roth; Breanne  Pitt; Lāsma Šķestere; Jonathan Barbara; Michael  Schlauch

doi:10.48550/arXiv.2306.09817

INDCOR white paper 4: Evaluation of Interactive Narrative Design For Complexity Representations

Ágnes Karolina Bakk, Kirsty Dunlop, Maria del Mar Grandio, Miguel Barreda, Despoina Sampatakou, Cristian Roth, Breanne Pitt, Lāsma Šķestere, Jonathan Barbara, Michael Schlauch

Research output: Working paper › Preprint

Abstract

While a strength of Interactive Digital Narratives (IDN) is its support for multiperspectivity, this also poses a substantial challenge to its evaluation. Moreover, evaluation has to assess the system's ability to represent a complex reality as well as the user's understanding of that complex reality as a result of the experience of interacting with the system. This is needed to measure an IDN's efficiency and effectiveness in representing the chosen complex phenomenon. We here present some empirical methods employed by INDCOR members in their research including UX toolkits and scales. Particularly, we consider the impact of IDN on transformative learning and its evaluation through self-reporting and other alternatives.

Original language	English
Publisher	arXiv.org
Number of pages	18
DOIs	https://doi.org/10.48550/arXiv.2306.09817
Publication status	Published - 16 Jun 2023
Externally published	Yes

Keywords*

human-computer interaction

Field of Science*

1.2 Computer and information sciences
5.3 Educational sciences

Publication Type*

6. Other publications

Access to Document

10.48550/arXiv.2306.09817

https://arxiv.org/abs/2306.09817

COST Action CA18230 "Interactive Narrative Design for Complexity Representations (INDCOR)" (External organisation)
Šķestere, L. (Member)
4 Oct 2021 → 5 Jun 2024
Activity: Membership types › Membership of network

Cite this

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title = "INDCOR white paper 4: Evaluation of Interactive Narrative Design For Complexity Representations",

abstract = "While a strength of Interactive Digital Narratives (IDN) is its support for multiperspectivity, this also poses a substantial challenge to its evaluation. Moreover, evaluation has to assess the system's ability to represent a complex reality as well as the user's understanding of that complex reality as a result of the experience of interacting with the system. This is needed to measure an IDN's efficiency and effectiveness in representing the chosen complex phenomenon. We here present some empirical methods employed by INDCOR members in their research including UX toolkits and scales. Particularly, we consider the impact of IDN on transformative learning and its evaluation through self-reporting and other alternatives.",

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author = "Bakk, {{\'A}gnes Karolina} and Kirsty Dunlop and {del Mar Grandio}, Maria and Miguel Barreda and Despoina Sampatakou and Cristian Roth and Breanne Pitt and Lāsma {\v S}ķestere and Jonathan Barbara and Michael Schlauch",

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month = jun,

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doi = "10.48550/arXiv.2306.09817",

language = "English",

publisher = "arXiv.org",

type = "WorkingPaper",

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T2 - Evaluation of Interactive Narrative Design For Complexity Representations

AU - Bakk, Ágnes Karolina

AU - Dunlop, Kirsty

AU - del Mar Grandio, Maria

AU - Barreda, Miguel

AU - Sampatakou, Despoina

AU - Roth, Cristian

AU - Pitt, Breanne

AU - Šķestere, Lāsma

AU - Barbara, Jonathan

AU - Schlauch, Michael

PY - 2023/6/16

Y1 - 2023/6/16

N2 - While a strength of Interactive Digital Narratives (IDN) is its support for multiperspectivity, this also poses a substantial challenge to its evaluation. Moreover, evaluation has to assess the system's ability to represent a complex reality as well as the user's understanding of that complex reality as a result of the experience of interacting with the system. This is needed to measure an IDN's efficiency and effectiveness in representing the chosen complex phenomenon. We here present some empirical methods employed by INDCOR members in their research including UX toolkits and scales. Particularly, we consider the impact of IDN on transformative learning and its evaluation through self-reporting and other alternatives.

AB - While a strength of Interactive Digital Narratives (IDN) is its support for multiperspectivity, this also poses a substantial challenge to its evaluation. Moreover, evaluation has to assess the system's ability to represent a complex reality as well as the user's understanding of that complex reality as a result of the experience of interacting with the system. This is needed to measure an IDN's efficiency and effectiveness in representing the chosen complex phenomenon. We here present some empirical methods employed by INDCOR members in their research including UX toolkits and scales. Particularly, we consider the impact of IDN on transformative learning and its evaluation through self-reporting and other alternatives.

KW - human-computer interaction

U2 - 10.48550/arXiv.2306.09817

DO - 10.48550/arXiv.2306.09817

M3 - Preprint

BT - INDCOR white paper 4

PB - arXiv.org

ER -

INDCOR white paper 4: Evaluation of Interactive Narrative Design For Complexity Representations

Abstract

Keywords*

Field of Science*

Publication Type*

Access to Document

Fingerprint

Activities

COST Action CA18230 "Interactive Narrative Design for Complexity Representations (INDCOR)" (External organisation)

Cite this