Title
Towards an Active Predictive Relation by Reconceptualizing a Vacuum Robot: Research on the Transparency and Acceptance of the Predictive Behaviors
Author
Guo, Peicheng (Student TU Delft)
Smit, I.R. (TU Delft Human Information Communication Design) 
Contributor
Kurosu, Masaaki (editor)
Yamamoto, Sakae (editor)
Mori, Hirohiko (editor)
Schmorrow, Dylan D. (editor)
Fidopiastis, Cali M. (editor)
Streitz, Norbert A. (editor)
Konomi, Shin’ichi (editor)
Date
2022
Abstract
With the development of Artificial intelligence, the connected objects are extended with the predictive capabilities and the character of things can change to “things that predict”. If a connected device is able to embrace a predictive system that not only profiles for scripted behavior but could also use the knowledge co-created by all the other similar devices and their users that encounter similar situations, the predictions can be generated based on that. In this case, a new type of interplay between humans and things called “predictive relation” is created. However, before this future takes place, it is required to find out appropriate patterns to address challenges such as the transparency and users’ acceptance of predictive behaviors of connected products. The research in this article takes a vacuum robot as a reference product for the study. The research starts by collecting users’ daily practice with vacuum robots through 4-day diary booklets. And then the booklets serve as sensitizing tools to envision the possible predictive capabilities and lead the discussion on the acceptance and transparency of general predicting things. From the creative sessions we propose 1) design qualities for the acceptance of the predicting things, and 2) a model of generating predictive behavior that enhances the transparency. Eventually, we also propose the idea of “Designers as the facilitators of the human-robot collaboration”.
Subject
Acceptance
Artificial intelligence
Human-robot interaction
Internet of Things
Robot autonomy
Transparency
To reference this document use:
http://resolver.tudelft.nl/uuid:32227ce7-6cf4-4035-84fe-2d5025cc34e1
DOI
https://doi.org/10.1007/978-3-031-17618-0_18
Publisher
Springer
Embargo date
2023-07-01
ISBN
978-3-031-17617-3
Source
HCI International 2022 - Late Breaking Papers. Multimodality in Advanced Interaction Environments - 24th International Conference on Human-Computer Interaction, HCII 2022, Proceedings
Event
24th International Conference on Human-Computer Interaction, HCII 2022, 2022-06-26 → 2022-07-01, Virtual, Online
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 0302-9743, 13519 LNCS
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
conference paper
Rights
© 2022 Peicheng Guo, I.R. Smit