User-centric IoT: challenges and perspectives

International audienceThe Internet of Things (IoT), this emerging technology connecting everyone, and everyone’s things’, is not about objects, gadgets, databases, applications and profits to be made from it, but about people, it enriches. Researchers, developers, industries, telecommunication companies, and scientific communities have been interested in this paradigm and have proposed different solutions from different perspectives. They are mainly focused on the technical level, like performance, interoperability, integration, etc. However, whenever use cases are targeting human users, the focus must not be merely on these sides, but on human factors as well. Thus, it is essential to apply a user-centric approach allowing identification of application-specific features and understanding users needs, motivations and beliefs. This survey aims at encouraging other IoT system developers and researchers to pay attention to the relationship between people and IoT systems. We emphasize the value of adopting a user-centric vision. The goal is not to provide solutions, but rather to raise the right issues

The utility of psychological measures in evaluating perceived usability of automated vehicle interfaces – A study with older adults

The design of the traditional vehicle human-machine interfaces (HMIs) is undergoing major change as we move towards fully connected and automated vehicles (CAVs). Given the diversity of user requirements and preferences, it is vital for designers to gain a deeper understanding of any underlying factors that could impact usability. The current study employs a range of carefully selected psychological measures to investigate the relationship with self-report usability of an in-CAV HMI integrated into a fully automated Level 5 simulator, during simulated journeys. Twenty-five older adults (65-years+) participated and were exposed to four journeys in a virtual reality fully automated CAV simulator (with video recorded journeys) into which our HMI was integrated. Participants completed a range of scales and questionnaires, as well as computerized cognitive tests. Key measures were: perceived usability of the HMI, cognitive performance, personality, attitudes towards computers, trust in technology, simulator sickness, presence and emotion. HMI perceived usability correlated positively with cognitive performance (e.g., working memory) and some individual characteristics such as trust in technology and negatively with neuroticism anxiety. Simulator sickness was associated negatively with CAV HMI perceived usability. Positive emotions correlated positively with reported usability across all four journeys, while negative emotions were negatively associated with usability only in the case of the last two journeys. Increased sense of presence in the virtual CAV simulator was not associated with usability. Implications for design are critically discussed. Our research is highly relevant in the design of high-fully automated vehicle HMIs, particularly for older adults, and in informing policy-makers and automated mobility providers of how to improve older people’s uptake of this technology

人間中心型自動運転車における協調運転のための適応的マルチモーダルインタフェースに関する研究

早大学位記番号:新7967早稲田大