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A Contrastive Study of Pre- and Post-legislation Interaction Design for Communication and Action About Personal Data Protection in e-Commerce Websites Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

“I Really Don’t Know What ‘Thumbs Up’ Means”: Algorithmic Experience in Movie Recommender Algorithms

verfasst von : Oscar Alvarado, Vero Vanden Abeele, David Geerts, Katrien Verbert

Erschienen in: Human-Computer Interaction – INTERACT 2019

Verlag: Springer International Publishing

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Abstract

Many of our daily activities and decisions are driven by algorithms. This is particularly evident in our interactions with contemporary cultural content, where recommender algorithms deal with most of their access, production, and distribution. In this context, the Algorithmic Experience (AX) design framework emerged to guide the design of users’ experiences with algorithms for social media platforms. However, thus far, a framework to design specifically for AX within the context of movie recommender algorithms was lacking. To this end, the present study combines a semiotic inspection analysis of the Netflix interface with sensitized design workshops and semi-structured interviews to explore AX requirements for movie recommender algorithms. Linking the analysis with design opportunities, we shed light on AX suited for movie recommender systems. Moreover, we extend the current AX design framework with two new design areas: algorithmic usefulness and algorithmic social practices.

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Metadaten
Titel
“I Really Don’t Know What ‘Thumbs Up’ Means”: Algorithmic Experience in Movie Recommender Algorithms
verfasst von
Oscar Alvarado
Vero Vanden Abeele
David Geerts
Katrien Verbert
Copyright-Jahr
2019
Buch
Human-Computer Interaction – INTERACT 2019

Print ISBN: 978-3-030-29386-4

Electronic ISBN: 978-3-030-29387-1

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-29387-1_30

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