This paper offers a theoretical and methodological framework of ‘techno-aesthetic encounters’ that supports nonlinear (situated, materially-driven, and multi-sensory) and art-based modes of inquiry in HCI and the broader STEM fields. We first investigate recent literatures in HCI and science and technology studies (STS) that explore nonlinear modes of practice and creativity in processes of technology design, and argue that better recognition of these dynamics may open space for art-based and nonlinear leaners and makers to more actively engage in HCI research and design. To meet this need, we study three renowned art-and-engineering practitioners (Klüver, Paik, Moog) and our own experimental project titled ‘The Electronicists’ in which participants from different disciplines collaborated to produce three hybrid works. Based on this work, we propose a framework of ‘techno-aesthetic encounters’ that pursues event-based creativity through the mediation of engineering, art, and humanistic engagements. We suggest trust-based experiments, error-engaged studio, and art-based ethnography as promising methodological tenets of this approach.

Nowadays, it is prohibitive for apps market places, such as Google App Store, to thoroughly verify an app's resource permission requests to be legitimate or malicious. As a result, mobile users are left to decide for themselves whether an app is safe to use or not. To assist users to make correct decisions as for whether to accept a permission request or not, we propose RecDroid. RecDroid is a crowdsourcing recommendation framework that collects apps' permission requests and users' responses to those requests, from which an experts ranking algorithm is used to seek expert users in the system and a recommendation algorithm is used to suggest appropriate responses to permission requests (accept or reject) based on experts' responses. In this demo, we demonstrate a user case to show how the RecDroid system assists users in permission control. We also explain the major principles and processes behind that support the RecDroid recommendation system.