This research is based on the adaptation and validation in French of the Pedestrian Receptivity Questionnaire for Fully Autonomous Vehicles (PRQF). Faced with the emergence of numerous issues related to interactions between pedestrians and fully autonomous vehicles (FAV), this questionnaire is a reliable and scientifically valid means of collecting pedestrian experiences when they cross a road in front of an autonomous vehicle. The translation methodology of the PRQF was based on a committee approach, which consisted of asking several bilingual experts to come to an agreement on a consensual translation. The validation of the French PRQF (F-PRQF) was based on the completion of 584 questionnaires. Different psychometric tests were carried out, including an accuracy analysis, a principal component factor analysis (PCA) and a confirmatory factor analysis (CFA). Our results show that the F-PQRF displays satisfactory psychometric qualities, in particular in terms of internal consistency (α = 0.932 and ω = 0.935). We also find a scale with five components, which confirms the theoretical model structure of the original scale. The F-PRQF showed good psychometric qualities, which should thus facilitate research in fully autonomous vehicles among French-speaking audiences.

One of the main benefits of large interactive surfaces (e.g. wall-sized displays) lies in their support for collocated collaboration by facilitating simultaneous interactions with the displays and high awareness of other group members' actions. In the context of remote collaboration, this awareness information needs to be acquired through digital means such as video feeds, which typically offer very limited information on non-verbal communication aspects, including on workspace awareness. We describe a new approach we have implemented to tackle that challenge through a multimodal pipeline that deals with tracking, attributing, transmitting, and visualising non-verbal information through what we refer to as workspace awareness cues, across wall-sized displays placed at distant locations. Our approach relies on commodity depth cameras combined with screen configuration information to generate deictic cues such as pointing targets and gaze direction. It also leverages recent artificial intelligence breakthroughs to attribute such cues to identified individuals and augment them with additional gestural interactions. In the present paper, we expand on the details and rationale behind our approach, describe its technical implementation, validate its novelty with regards to the existing literature, and report on early but promising results from an evaluation we conducted based on a mixed-presence decision-making scenario across two distant wall-sized displays.

This is a concept paper that introduces the Cognitive Internet of Things and particularly the role that human users play in it. The Cognitive Internet of Things, which forms a Collective AI, based on autonomous software agents, with things that can sense, think and act. We address three specific IoT challenges from a human-centred and social way: interaction, user experience, and human models. We have made an extended literature review from 2015 since today, however we present here only a few most current human-centred IoT related works. The keywords we searched for, among others were "Cognitive IoT", "Collective Artificial Intelligence", "Social IoT", "smart/cognitive things", 'CIoT design/usability', etc. The asset of the paper is to provide three open research questions for future investigation pertaining to natural human-agent interaction, design and user experience, and human modeling, and identify literature gaps

Nowadays, computational thinking skills are considered as fundamental for our future daily life and many initiatives and tools are created to foster these skills. In this paper, we present the Kniwwelino, a new platform for prototyping physical computing projects based on WiFi. The novelty of our solution lies in the use of a WiFi chip on a small, extendable board, programmable via a block based visual programming language, making the platform compact, low-cost, WiFi enabled, and accessible to children. This paper presents the design rationale and implementation of the platform as well as two simple, example projects making use of the new WiFi-based functionalities.

How to define users' needs for a new prototype? That is the question addressed in this paper, through the design of a mobile prospective prototype to support architects during the construction sites' visits. We propose to involve business experts and to use the agile-UX method to support our approach.