Recognizing the Algorithmic Literacy of Users in XAI: An Example-Based Approach

Katja Pott; Aletta Smits; Doris Agotai

doi:10.1007/978-3-031-61698-3_20

Recognizing the Algorithmic Literacy of Users in XAI: An Example-Based Approach

Katja Pott, Aletta Smits, Doris Agotai

Onderzoeksoutput: Contribution to conference proceeding › Academic › peer review

Samenvatting

Recommender systems are widely used in today’s society, but many of them do not meet users’ needs and therefore fail to reach their full potential. Without careful consideration, such systems can interfere with the natural decision-making process, resulting in the disregard for recommendations provided. Therefore, it is vital to take into account multiple factors, including expertise, time and risk associated with decisions, as well as the system’s context to identify suitable affordances. Furthermore, it is important to consider the algorithmic and digital literacy of the users. This analysis could reveal innovative design opportunities, like combining a recommender system with a digital agent. As a result, it may meet interpersonal needs and facilitate a more natural interaction with the system. Implementing this combination in a digital marketplace could be a promising way to empower users towards an independent life.

Originele taal-2	English
Titel	Design for Equality and Justice
Subtitel	INTERACT 2023 IFIP TC 13 Workshops, York, UK, August 28 – September 1, 2023, Revised Selected Papers, Part II
Redacteuren	A. Bramwell-Dicks, A. Evans, M. Winckler, H. Petrie, J. Abdelnour-Nocera
Plaats van productie	York
Uitgeverij	Springer International Publishing AG
Pagina's	214-222
Aantal pagina's	9
Volume	14536
Uitgave	1
ISBN van geprinte versie	978-3-031-61697-6
DOI's	https://doi.org/10.1007/978-3-031-61698-3_20
Status	Published - 9 jul. 2024
Extern gepubliceerd	Ja

Publicatie series

Reeks	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN	0302-9743

Keywords

algoritmische geletterdheid
digitale geletterdheid
inclusie
interactieve tafelprojectie
aanbevelingssystemen

Toegang tot document

10.1007/978-3-031-61698-3_20

1 Inaugural speech
1 Contribution to conference proceeding
1 Review article

Aanbevelingen van een computer: hoe betrouwbaar zijn ze?
Dinnissen, K., Hauptmann, H., Herder, E., Masthoff, J. & Smits, A., aug. 2025, In: Tijdschrift voor Human Factors. 50, 2, blz. 5-9 5 blz.
Onderzoeksoutput: Review article › peer review
Conversations between people and technology. Lectorale rede dr. Aletta Smits, 17 december 2025, Lectoraat Digitale Transformatie
Smits, A., 17 dec. 2025, Groningen: Hanze, Centre of Expertise Ondernemen. 21 blz.
Onderzoeksoutput: Inaugural speech › Academic

Open Access
Hardly any sliders in real-world apps: a library of algorithmic affordances to bridge the research-practice gap in Human-AI Interaction
Vertaalde titel van de bijdrage: Real-world apps hebben bijna nooit sliders: een bibliotheek van interacties tussen mens en AI om de kloof tussen onderzoek en praktijk te overbruggenSmits, A., Cardona, K., Berk, M., Marantika, T., Meeuwse, T., van Rossen, S., Sent, D., van Turnhout, K. & Hoekman, B. J., nov. 2025, (Accepted/In press) Arppid 2025. Springer Verlag, 18 blz.
Onderzoeksoutput: Contribution to conference proceeding › Academic › peer review

Open Access

human-AI interaction: how to give people autonomy and control
Smits, A. (Speaker)
1 apr. 2026
Activiteit: Invited talk
Mens en algoritme: wie past zich aan wie aan?
Smits, A. (Speaker)
27 mrt. 2026
Activiteit: Invited talk
The designers’ perspective on Decision Support Systems
Smits, A. (Speaker)
23 mrt. 2026 → 27 mrt. 2026
Activiteit: Oral presentation

Citeer dit

Pott, K., Smits, A., & Agotai, D. (2024). Recognizing the Algorithmic Literacy of Users in XAI: An Example-Based Approach. In A. Bramwell-Dicks, A. Evans, M. Winckler, H. Petrie, & J. Abdelnour-Nocera (editors), Design for Equality and Justice: INTERACT 2023 IFIP TC 13 Workshops, York, UK, August 28 – September 1, 2023, Revised Selected Papers, Part II (1 uitgave, Vol. 14536, blz. 214-222). Springer International Publishing AG. https://doi.org/10.1007/978-3-031-61698-3_20

Pott, Katja ; Smits, Aletta ; Agotai, Doris. / Recognizing the Algorithmic Literacy of Users in XAI : An Example-Based Approach. Design for Equality and Justice: INTERACT 2023 IFIP TC 13 Workshops, York, UK, August 28 – September 1, 2023, Revised Selected Papers, Part II. redacteur / A. Bramwell-Dicks ; A. Evans ; M. Winckler ; H. Petrie ; J. Abdelnour-Nocera. Vol. 14536 1. uitgave York : Springer International Publishing AG, 2024. blz. 214-222 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Recognizing the Algorithmic Literacy of Users in XAI: An Example-Based Approach",

abstract = "Recommender systems are widely used in today{\textquoteright}s society, but many of them do not meet users{\textquoteright} needs and therefore fail to reach their full potential. Without careful consideration, such systems can interfere with the natural decision-making process, resulting in the disregard for recommendations provided. Therefore, it is vital to take into account multiple factors, including expertise, time and risk associated with decisions, as well as the system{\textquoteright}s context to identify suitable affordances. Furthermore, it is important to consider the algorithmic and digital literacy of the users. This analysis could reveal innovative design opportunities, like combining a recommender system with a digital agent. As a result, it may meet interpersonal needs and facilitate a more natural interaction with the system. Implementing this combination in a digital marketplace could be a promising way to empower users towards an independent life.",

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Pott, K, Smits, A & Agotai, D 2024, Recognizing the Algorithmic Literacy of Users in XAI: An Example-Based Approach. in A Bramwell-Dicks, A Evans, M Winckler, H Petrie & J Abdelnour-Nocera (uitgave), Design for Equality and Justice: INTERACT 2023 IFIP TC 13 Workshops, York, UK, August 28 – September 1, 2023, Revised Selected Papers, Part II. 1 edn, vol. 14536, Springer International Publishing AG, York, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), blz. 214-222. https://doi.org/10.1007/978-3-031-61698-3_20

Recognizing the Algorithmic Literacy of Users in XAI: An Example-Based Approach. / Pott, Katja; Smits, Aletta; Agotai, Doris.
Design for Equality and Justice: INTERACT 2023 IFIP TC 13 Workshops, York, UK, August 28 – September 1, 2023, Revised Selected Papers, Part II. uitgave / A. Bramwell-Dicks; A. Evans; M. Winckler; H. Petrie; J. Abdelnour-Nocera. Vol. 14536 1. uitgave York: Springer International Publishing AG, 2024. blz. 214-222 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Onderzoeksoutput: Contribution to conference proceeding › Academic › peer review

TY - GEN

T1 - Recognizing the Algorithmic Literacy of Users in XAI

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AU - Pott, Katja

AU - Smits, Aletta

AU - Agotai, Doris

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N2 - Recommender systems are widely used in today’s society, but many of them do not meet users’ needs and therefore fail to reach their full potential. Without careful consideration, such systems can interfere with the natural decision-making process, resulting in the disregard for recommendations provided. Therefore, it is vital to take into account multiple factors, including expertise, time and risk associated with decisions, as well as the system’s context to identify suitable affordances. Furthermore, it is important to consider the algorithmic and digital literacy of the users. This analysis could reveal innovative design opportunities, like combining a recommender system with a digital agent. As a result, it may meet interpersonal needs and facilitate a more natural interaction with the system. Implementing this combination in a digital marketplace could be a promising way to empower users towards an independent life.

AB - Recommender systems are widely used in today’s society, but many of them do not meet users’ needs and therefore fail to reach their full potential. Without careful consideration, such systems can interfere with the natural decision-making process, resulting in the disregard for recommendations provided. Therefore, it is vital to take into account multiple factors, including expertise, time and risk associated with decisions, as well as the system’s context to identify suitable affordances. Furthermore, it is important to consider the algorithmic and digital literacy of the users. This analysis could reveal innovative design opportunities, like combining a recommender system with a digital agent. As a result, it may meet interpersonal needs and facilitate a more natural interaction with the system. Implementing this combination in a digital marketplace could be a promising way to empower users towards an independent life.

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KW - interactieve tafelprojectie

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PB - Springer International Publishing AG

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Pott K, Smits A, Agotai D. Recognizing the Algorithmic Literacy of Users in XAI: An Example-Based Approach. In Bramwell-Dicks A, Evans A, Winckler M, Petrie H, Abdelnour-Nocera J, redacteurs, Design for Equality and Justice: INTERACT 2023 IFIP TC 13 Workshops, York, UK, August 28 – September 1, 2023, Revised Selected Papers, Part II. 1 uitgave Vol. 14536. York: Springer International Publishing AG. 2024. blz. 214-222. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-61698-3_20

Recognizing the Algorithmic Literacy of Users in XAI: An Example-Based Approach

Samenvatting

Publicatie series

Keywords

Toegang tot document

Vingerafdruk

Onderzoekersoutput

Aanbevelingen van een computer: hoe betrouwbaar zijn ze?

Conversations between people and technology. Lectorale rede dr. Aletta Smits, 17 december 2025, Lectoraat Digitale Transformatie

Hardly any sliders in real-world apps: a library of algorithmic affordances to bridge the research-practice gap in Human-AI Interaction

Activiteiten

human-AI interaction: how to give people autonomy and control

Mens en algoritme: wie past zich aan wie aan?

The designers’ perspective on Decision Support Systems

Citeer dit