Projects per year
Abstract
Users' engagement with pervasive displays has been extensively studied, however, determining how their content is interesting remains an open problem. Tracking of body postures and gaze has been explored as an indication of attention; still, existing works have not been able to estimate the interest of passers-by from readily available data, such as the display viewing time. This article presents a simple yet accurate method of estimating users' interest in multiple content items shown at the same time on displays. The proposed approach builds on the information foraging theory, which assumes that users optimally decide on the content they consume. Through inverse foraging, the parameters of a foraging model are fitted to the values of viewing times observed in practice, to yield estimates of user interest. Different foraging models are evaluated by using synthetic data and with a controlled user study. The results demonstrate that inverse foraging accurately estimates interest, achieving an R2 above 70% in comparison to self-reported interest. As a consequence, the proposed solution allows to dynamically adapt the content shown on pervasive displays, based on viewing data that can be easily obtained in field deployments.
Original language | English |
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Article number | 122 |
Number of pages | 18 |
Journal | Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies |
Volume | 5 |
Issue number | 3 |
DOIs | |
Publication status | Published - Sept 2021 |
MoE publication type | A1 Journal article-refereed |
Keywords
- information foraging theory
- inverse modeling
- parameter estimation
- pervasive displays
Fingerprint
Dive into the research topics of 'Inverse Foraging: Inferring Users' Interest in Pervasive Displays'. Together they form a unique fingerprint.Projects
- 4 Finished
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MeXICO: Mobile Cross Reality through Immersive Computing
Di Francesco, M. (Principal investigator), Premsankar, G. (Project Member), Vaishnav, A. (Project Member), Montoya Freire, M. (Project Member), Amidzade, M. (Project Member), Haavisto, O. (Project Member), Kirjonen, M. (Project Member) & Corneo, L. (Project Member)
01/09/2020 → 31/08/2024
Project: Academy of Finland: Other research funding
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Human Automata: Simulator-based Methods for Collaborative AI
Oulasvirta, A. (Principal investigator), Shiripour, M. (Project Member), Putkonen, A.-M. (Project Member), Rastogi, A. (Project Member), Hegemann, L. (Project Member), Iyer, A. (Project Member), Santala, S. (Project Member), Dayama, N. (Project Member), Laine, M. (Project Member), Chandramouli, S. (Project Member), Li, C. (Project Member), Liao, Y.-C. (Project Member), Kylmälä, J. (Project Member), Nioche, A. (Project Member) & Kompatscher, J. (Project Member)
01/01/2020 → 31/12/2023
Project: Academy of Finland: Other research funding
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-: Finnish Center for Artificial Intelligence
Kaski, S. (Principal investigator)
01/01/2019 → 31/12/2022
Project: Academy of Finland: Other research funding
Press/Media
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Researchers predict viewer interest in, not just attention to, public screen content
28/09/2021
2 items of Media coverage
Press/Media: Media appearance