Recent developments in accessible electronic-making toolkits have opened up avenues for individuals with intellectual disabilities(ID) to actively participate in creating their own smart objects based on the Internet of Things (IoT) technology. These toolkits present a novel opportunity to foster the inclusion of this often-under-considered community in the development of personalized solutions that can impact their autonomy and well-being. However, understanding IoT encompasses comprehending the inter-object connection paradigm at the core of this technology, an aspect that is not adequately covered by the existing accessible toolkits. To fill this gap, this paper illustrates the design and evaluation of MakeNodes, a tangible toolkit to involve people with ID in making smart-thing networks in a guided, collaborative, and engaging way. The toolkit comprises a series of input and output nodes that can be paired to make any object or surface smart. The paper illustrates how MakeNodes empowers people with ID through IoT-making activities that promote collaborative work to address personal needs. Key findings are discussed in the form of lessons learned concerning the importance of physical and visual elements, hands-on exploration, and interaction robustness in improving the accessibility of IoT-making toolkits for people with ID.

Measuring cognitive functions is a complex and challenging process, and researchers usually conduct their study in experimental settings and with standardized tests. Such an approach is raising more and more criticism. Especially about the capability of psychology’s laboratory experiments to provide generalizable and accurate indicators of impairments outside the laboratory boundaries in everyday life. This is acknowledged as the ”real-world or lab” dilemma. Most tests traditionally performed using paper-and-pencil may fail to detect the individual’s difficulties in the real world. The scientific community has launched a quest for new digitized, interactive, and more ”ecological” versions. Our work investigates a novel approach to this topic that exploits interactive Multi-Sensory Environments (iMSE) and questions how iMSEs could contribute to the neuropsychology assessment field. The paper describes NEP-Neuro-Psychological Suite, a set of game-based activities in iMSE inspired by widely adopted neuropsychological tests. The suite provides a context in which existing or new neuropsychological tests can be experimented, extended, and modified with stimuli, contents, and tasks closer to real-world situations. We report an exploratory empirical study (N=22) on a well-known test to assess attention skills, the Stroop Test. The results, although very preliminary, provide insights into the effects of transposing classic tests into a novel form and the role that iMSEs can play in the debate about the ”real-world or lab” dilemma.

We present the design and evaluation of a 3.5-year embedded sensing deployment at the Mithræum of Circus Maximus, a UNESCO-protected underground archaeological site in Rome (Italy). Unique to our work is the use of energy harvesting through thermal and kinetic energy sources. The extreme scarcity and erratic availability of energy, however, pose great challenges in system software, embedded hardware, and energy management. We tackle them by testing, for the first time in a multi-year deployment, existing solutions in intermittent computing, low-power hardware, and energy harvesting. Through three major design iterations, we find that these solutions operate as isolated silos and lack integration into a complete system, performing suboptimally. In contrast, we demonstrate the efficient performance of a hardware/software co-design featuring accurate energy management and capturing the coupling between energy sources and sensed quantities. Installing a battery-operated system alongside also allows us to perform a comparative study of energy harvesting in a demanding setting. Albeit the latter reduces energy availability and thus lowers the data yield to about 22% of that provided by batteries, our system provides a comparable level of insight into environmental conditions and structural health of the site. Further, unlike existing energy-harvesting deployments that are limited to a few months of operation in the best cases, our system runs with zero maintenance since almost 2 years, including 3 months of site inaccessibility due to a COVID19 lockdown.