Towards Tangible Algorithms: Exploring the Experiences of Tangible Interactions with Movie Recommender Algorithms-Reference-Cited by-同舟云学术

Towards Tangible Algorithms: Exploring the Experiences of Tangible Interactions with Movie Recommender Algorithms

Published:2022-11-07 Issue:CSCW2 Volume:6 Page:1-30
ISSN:2573-0142
Container-title:Proceedings of the ACM on Human-Computer Interaction
language:en
Short-container-title:Proc. ACM Hum.-Comput. Interact.

Author:

Alvarado Oscar¹,Vanden Abeele Vero¹,Geerts David¹,Verbert Katrien¹

Affiliation:

1. KU Leuven, Leuven, Belgium

Abstract

Artificial Intelligence (AI) supports many of our everyday activities and decisions. However, personalized algorithmic recommendations often produce adverse experiences due to a lack of awareness, control, or transparency. While research has directed solutions on graphical user interfaces (GUIs), there are no explorations of Tangible User Interfaces (TUIs) to improve the experience with such systems, despite the valid existing academic arguments in favor of this exploration. Therefore, centering on transparency and control, we analyzed how 18 users of movie recommender systems perceived four different TUIs using individual co-design sessions and post-interview questionnaires. Through thematic analysis, we identified seven design considerations while designing TUIs to interact with algorithmic movie recommender systems: (1) Distinctions between TUIs and GUIs; (2) TUIs replacing predominant interfaces; (3) Preference for single-device TUIs; (4) The relevance of granular control for TUIs; (5) Apparent transparency limitations of TUIs; (6) TUIs and algorithmic social computing; and (7) Overview of specific design choices, including advantages and disadvantages of soft, hard, rounded, cubic, and humanoid interfaces. These findings inspired Recffy: the first functional TUI designed to enhance awareness and control in personalized movie recommendations. Based on this study, we propose the concept of Tangible Algorithms: TUIs dedicated to enhancing the interaction of algorithmic systems and their profiling processes or decisions in a specific context. Furthermore, we describe the relevance of tangible algorithms and design guidelines to promote them in diverse AI contexts. Finally, we invite the HCI and CSCW community to continue exploring tangible algorithms to address the interaction with algorithmic systems, including the collaborative and social computing dynamics they can promote in diverse AI contexts.

Funder

Universidad de Costa Rica

KU Leuven

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Link

https://dl.acm.org/doi/pdf/10.1145/3555757

Reference47 articles.

1. Mehul Agrawal , Vero Vanden Abeele , Karen Vanderloock, and Luc Geurts. 2015 . Skweezee-Mote: A Case-Study of a Gesture-Based Tangible Product Design for a Television Remote Control. In ICoRD'15 -- Research into Design Across Boundaries Volume 2, Amaresh Chakrabarti (Ed.). Springer India , New Delhi, 409--419. Mehul Agrawal, Vero Vanden Abeele, Karen Vanderloock, and Luc Geurts. 2015. Skweezee-Mote: A Case-Study of a Gesture-Based Tangible Product Design for a Television Remote Control. In ICoRD'15 -- Research into Design Across Boundaries Volume 2, Amaresh Chakrabarti (Ed.). Springer India, New Delhi, 409--419.

2. Oscar Alvarado , Vero Vanden Abeele , David Geerts, and Katrien Verbert. 2019 . "I Really Don't Know What "Thumbs Up' Means": Algorithmic Experience in Movie Recommender Algorithms. In Human-Computer Interaction -- INTERACT 2019, David Lamas, Fernando Loizides, Lennart Nacke, Helen Petrie, Marco Winckler, and Panayiotis Zaphiris (Eds.). Springer International Publishing , Cham, 521--541. Oscar Alvarado, Vero Vanden Abeele, David Geerts, and Katrien Verbert. 2019. "I Really Don't Know What "Thumbs Up' Means": Algorithmic Experience in Movie Recommender Algorithms. In Human-Computer Interaction -- INTERACT 2019, David Lamas, Fernando Loizides, Lennart Nacke, Helen Petrie, Marco Winckler, and Panayiotis Zaphiris (Eds.). Springer International Publishing, Cham, 521--541.

3. Foregrounding Algorithms: Preparing Users for Co-design with Sensitizing Activities

4. Exploring Tangible Algorithmic Imaginaries in Movie Recommendations

5. Towards Algorithmic Experience