Appraising the intention of other people: Ecological validity and procedures for investigating effects of lighting for pedestrians

One of the aims of outdoor lighting public spaces such as pathways and subsidiary roads is to help pedestrians to evaluate the intentions of other people. This paper discusses how a pedestrians’ appraisal of another persons’ intentions in artificially lit outdoor environments can be studied. We review the visual cues that might be used, and the experimental design with which effects of changes in lighting could be investigated to best resemble the pedestrian experience in artificially lit urban environments. Proposals are made to establish appropriate operationalisation of the identified visual cues, choice of methods and measurements representing critical situations. It is concluded that the intentions of other people should be evaluated using facial emotion recognition; eye tracking data suggest a tendency to make these observations at an interpersonal distance of 15 m and for a duration of 500 ms. Photographs are considered suitable for evaluating the effect of changes in light level and spectral power distribution. To support investigation of changes in spatial distribution further investigation is needed with 3D targets. Further data are also required to examine the influence of glare

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to widespread adoption, most LLMs are developed by resource-rich organizations and are frequently kept from the public. As a step towards democratizing this powerful technology, we present BLOOM, a 176B-parameter open-access language model designed and built thanks to a collaboration of hundreds of researchers. BLOOM is a decoder-only Transformer language model that was trained on the ROOTS corpus, a dataset comprising hundreds of sources in 46 natural and 13 programming languages (59 in total). We find that BLOOM achieves competitive performance on a wide variety of benchmarks, with stronger results after undergoing multitask prompted finetuning. To facilitate future research and applications using LLMs, we publicly release our models and code under the Responsible AI License

A Cognitive—Behavioral Intervention for Postpartum Anxiety and Depression: Individual Phone vs. Group Format

Cognitive–behavioral interventions can effectively treat symptoms of perinatal mood and anxiety disorders (PMADs). We assessed the acceptability and effectiveness of a workbook-based intervention (What Am I Worried About? (WAWA)) comprising of cognitive–behavioral and mindfulness techniques and weekly professional guidance to address symptoms of depression, anxiety, and stress among postpartum mothers. We compared the efficacy of group versus individual telephone consultation using a pre-and post-test single group, open trial, research design in replication pilot study. A convenience sample of community-residing postpartum women (n = 34) chose between group intervention (n = 24) or individual phone consultation with a mental health professional (n = 10). Outcome measures were anxiety (GAD-7), depression, anxiety, and stress (DASS21), and postpartum depression (PPD-EPDS). After four weeks intervention, significant reductions were observed in postpartum depression, anxiety, and stress scales. Cohen’s d statistics showed medium effect sizes (0.35–0.56). A small but significantly larger change in PPD-EPDS and DASS stress scores was reported among participants who opted for the phone intervention compared to those in the group intervention. Most participants felt that the intervention was highly beneficial and would recommend it to other postpartum women. In conclusion, the WAWA intervention showed efficacy for reducing postpartum anxiety, distress, and depressive symptoms among postpartum women, with a slightly greater reduction in PPD-EPDS and stress symptoms found among those who opted for individual phone consultation. Definitive evaluation of the intervention requires a larger sample and a RCT research design with two treatment arms: telephone and group intervention

Dissociating identity from gait: A virtual reality study of the role of dynamic identity signatures in person recognition

Studies on person recognition have primarily examined recognition of static faces, presented on a computer screen at a close distance. Nevertheless, in naturalistic situations we typically see the whole dynamic person, often approaching from a distance. In such cases, facial information may be less clear, and the motion pattern of an individual, their dynamic identity signature (DIS), may be used for person recognition. Recently, several studies examined the role of motion in person recognition by presenting videos of people in motion. However, such stimuli do not allow for the dissociation of gait from identity, as different individuals differ both in their gait and their identity. To examine the role of gait independently from person identity in person recognition, we used a virtual environment, which enables presenting the same type of gait across different identities. Using this setting, we assessed the accuracy and distance at which identities are recognized based on their gait, as a function of gait distinctiveness. Furthermore, the virtual environment also enabled us to assess, for the first time, the distance at which a person is recognized as a continuous variable. We find that the accuracy and distance at which people were recognized increased with gait distinctiveness. Importantly, these effects were found when recognizing identities in motion but not from static displays, indicating that DIS rather than attention, enabled more accurate person recognition. Overall these findings highlight an important role for gait in real-life person recognition and stress that gait contributes to recognition independently from the face and body

Dissociating gait from static appearance: A virtual reality study of the role of dynamic identity signatures in person recognition

Studies on person recognition have primarily examined recognition of static faces, presented on a computer screen at a close distance. Nevertheless, in naturalistic situations we typically see the whole dynamic person, often approaching from a distance. In such cases, facial information may be less clear, and the motion pattern of an individual, their dynamic identity signature (DIS), may be used for person recognition. Studies that examined the role of motion in person recognition, presented videos of people in motion. However, such stimuli do not allow for the dissociation of gait from face and body form, as different identities differ both in their gait and static appearance. To examine the contribution of gait in person recognition, independently from static appearance, we used a virtual environment, and presented across participants, the same face and body form with different gaits. The virtual environment also enabled us to assess the distance at which a person is recognized as a continuous variable. Using this setting, we assessed the accuracy and distance at which identities are recognized based on their gait, as a function of gait distinctiveness. We find that the accuracy and distance at which people were recognized increased with gait distinctiveness. Importantly, these effects were found when recognizing identities in motion but not from static displays, indicating that DIS rather than attention, enabled more accurate person recognition. Overall these findings highlight that gait contributes to person recognition beyond the face and body and stress an important role for gait in real-life person recognition

Can we recognize people based on their body-alone? The roles of body motion and whole person context.

While most studies on person recognition examine the face alone, recent studies have shown evidence for the contribution of the body and gait to person recognition beyond the face. Nevertheless, little is known on whether person recognition can be performed based on the body alone. In this study, we examined two sources of information that may enhance body-based person recognition: body motion and whole person context. Body motion has been shown to contribute to person recognition especially when facial information is unclear. Additionally, generating whole person context, by attaching faceless heads to bodies, has been shown to activate face processing mechanisms and may therefore enhance body-based person recognition. To assess body-based person recognition, participants performed a sequential matching task in which they studied a video of a person walking followed by a headless image of the same or different identity. The role of body motion was examined by comparing recognition from dynamic vs. static headless bodies. The role of whole person context was examined by comparing bodies with and without faceless heads. Our findings show that body motion contributed to body-based person recognition, and person recognition from the body alone was better in dynamic vs. static displays. In addition, whole person context contributed to body-based person recognition when recognition was performed in static displays. Overall these findings show that recognizing people based on their body alone is challenging but can be performed under certain circumstances that enhance the processing of the body when seeing the whole person

Combining Reflection and Finite State Diagrams for Design Enforcement

This paper presents a method for design enforcement, based on a combination of reflection and State Machine Diagrams. The method is supported by RECOS, a REflective system in a Concurrent Object-oriented environment that uses Finite State Diagrams. The reflection methodology is now a developing branch in computer science for controlling and modifying systems, particularly Object-Oriented systems. RECOS is a "base-system" under which other systems can be built. Combining concepts of Concurrent Object-Oriented design, Finite State Diagrams, and reflection leads to an increase in the reliability of the systems, by insuring that objects function according to their design. RECOS also presents a safe way for handling modifications of the systems. We attempt to provide the developer of a system under RECOS with an environment that balances between easing implementation effort and guarding against unsafe implementations. We address here the issue of reflection, present the structure of RECOS, ..