| 1. |
- Fraile, Marc, et al.
(författare)
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Automatic Analysis of Infant Engagement during Play : An End-to-end Learning and Explainable AI Pilot Experiment
- 2021
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Ingår i: Companion Publication of the 2021 International Conference on Multimodal Interaction. - New York, NY, USA : Association for Computing Machinery (ACM).
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Konferensbidrag (refereegranskat)abstract
- Infant engagement during play is an active area of research, relatedto the development of cognition. Automatic detection of engagementcould benefit the research process, but existing techniquesused for automatic affect detection are unsuitable for this scenario,since they rely on the automatic extraction of facial and posturalfeatures trained on clear video capture of adults. This study showsthat end-to-end Deep Learning methods can successfully detectengagement of infants, without the need of clear facial video, whentrained for a specific interaction task. It further shows that attentionmapping techniques can provide explainability, thereby enablingtrust and insight into a model’s reasoning process.
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| 2. |
- Fraile, Marc, PhD Candidate, 1989-, et al.
(författare)
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End-to-End Learning and Analysis of Infant Engagement During Guided Play : Prediction and Explainability
- 2022
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Ingår i: ICMI '22. - New York, NY, USA : Association for Computing Machinery (ACM). - 9781450393904 ; , s. 444-454
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Konferensbidrag (refereegranskat)abstract
- Infant engagement during guided play is a reliable indicator of early learning outcomes, psychiatric issues and familial wellbeing. An obstacle to using such information in real-world scenarios is the need for a domain expert to assess the data. We show that an end-to-end Deep Learning approach can perform well in automatic infant engagement detection from a single video source, without requiring a clear view of the face or the whole body. To tackle the problem of explainability in learning methods, we evaluate how four common attention mapping techniques can be used to perform subjective evaluation of the network’s decision process and identify multimodal cues used by the network to discriminate engagement levels. We further propose a quantitative comparison approach, by collecting a human attention baseline and evaluating its similarity to each technique.
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| 3. |
- van Leeuwen, F., et al.
(författare)
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Gaia Data Release 1 : Open cluster astrometry: Performance, limitations, and future prospects
- 2017
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Ingår i: Astronomy and Astrophysics. - : EDP Sciences. - 0004-6361 .- 1432-0746. ; 601
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Tidskriftsartikel (refereegranskat)abstract
- Context. The first Gaia Data Release contains the Tycho-Gaia Astrometric Solution (TGAS). This is a subset of about 2 million stars for which, besides the position and photometry, the proper motion and parallax are calculated using Hipparcos and Tycho-2 positions in 1991.25 as prior information. Aims. We investigate the scientific potential and limitations of the TGAS component by means of the astrometric data for open clusters. Methods. Mean cluster parallax and proper motion values are derived taking into account the error correlations within the astrometric solutions for individual stars, an estimate of the internal velocity dispersion in the cluster, and, where relevant, the effects of the depth of the cluster along the line of sight. Internal consistency of the TGAS data is assessed. Results. Values given for standard uncertainties are still inaccurate and may lead to unrealistic unit-weight standard deviations of least squares solutions for cluster parameters. Reconstructed mean cluster parallax and proper motion values are generally in very good agreement with earlier Hipparcos-based determination, although the Gaia mean parallax for the Pleiades is a significant exception. We have no current explanation for that discrepancy. Most clusters are observed to extend to nearly 15 pc from the cluster centre, and it will be up to future Gaia releases to establish whether those potential cluster-member stars are still dynamically bound to the clusters. Conclusions. The Gaia DR1 provides the means to examine open clusters far beyond their more easily visible cores, and can provide membership assessments based on proper motions and parallaxes. A combined HR diagram shows the same features as observed before using the Hipparcos data, with clearly increased luminosities for older A and F dwarfs.
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| 4. |
- Zhong, Mengyu, et al.
(författare)
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A case study in designing trustworthy interactions : implications for socially assistive robotics
- 2023
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Ingår i: Frontiers in Computer Science. - : Frontiers Media S.A.. - 2624-9898. ; 5
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Tidskriftsartikel (refereegranskat)abstract
- This work is a case study in applying recent, high-level ethical guidelines, specifically concerning transparency and anthropomorphisation, to Human-Robot Interaction (HRI) design practice for a real-world Socially Assistive Robot (SAR) application. We utilize an online study to investigate how the perception and efficacy of SARs might be influenced by this design practice, examining how robot utterances and display manipulations influence perceptions of the robot and the medical recommendations it gives. Our results suggest that applying transparency policies can improve the SAR's effectiveness without harming its perceived anthropomorphism. However, our objective measures suggest participant understanding of the robot's decision-making process remained low across conditions. Furthermore, verbal anthropomorphisation does not seem to affect the perception or efficacy of the robot.
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