We present M[eye]cro an interaction technique to select on-screen objects and navigate menus through the synergistic use of eye-gaze and thumb-to-finger microgestures. Thumb-to-finger microgestures are gestures performed with the thumb of a hand onto the fingers of the same hand. The active body of research on microgestures highlights expected properties including speed, availability and eye-free interaction. Such properties make microgestures a good candidate for multitasking. However, while praised, the state-of-the-art hypothesis stating that microgestures could be beneficial for multitasking has never been quantitatively verified. We study and compare M[eye]cro to a baseline, i.e., a technique based on physical controllers, in a cockpit-based context. This context allows us to design a controlled experiment involving multitasking with low- and high-priority tasks in parallel. Our results show that performances of the two techniques are similar when participants only perform the selection task. However, M[eye]cro tends to yield better time performance when participants additionally need to treat high-priority tasks in parallel. Results also show that M[eye]cro induces less fatigue and is mostly preferred.

Decreasing electricity consumption is a major challenge of our society. Eco-feedback methods allow users to get information about their electricity consumption to reduce it. However it is still difficult to determine what are the actions that impact the consumption in practice. In this paper we suggest to apply a What if approach to eco-feedback in a household context. We deploy the Activelec system in personal housings, which allows to apply virtual modifications in appliances usage and to evaluate the savings realized. The results of our experimentation show that participants appreciated the interaction method based on the What if. It allowed them to find and to evaluate efficient modifications in their appliances usage, and several have been applied in practice by the participants. This experimentation shows that the What if paradigm is a potential way for eco-feedback technologies. CCS CONCEPTS • Human-centered computing → Visualization systems and tools; Empirical studies in visualization; Visualization design and evaluation methods; RÉSUMÉ Réduire la consommation d'électricité est un enjeu majeur de notre société. Les méthodes eco-feedback permettent aux utilisateurs d'obtenir un retour sur leur consommation d'électricité afin de la diminuer. Toutefois, il est toujours difficile de déterminer concrètement quelles actions impactent la consommation. Dans cet article, nous proposons d'appliquer une méthode What if à l'eco-feedback en contexte domestique. Nous déployons le système Activelec dans des logements personnels, qui permet d'appliquer des changements virtuels dans l'utilisation des appareils et d'évaluer les économies

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