This work explores the implications of using thermal channels alongside physical tokens on a glove to create a wearable data physicalization that offers both public and private data displays. Encoding data using thermal sensations offers privacy and can complement a physical-visual display by representing one additional dimension. We provide thermal feedback using a nichrome wire, with temperature regulated by transistors controlled by a microcontroller. 3D-printed detachable structures (tokens) were developed to create a physical-visual display alongside the private thermal display. Our work also discusses different ways of representing human-centred data thermally, as well as real-world use cases such as self-reflection, empathy building and collaborative sensemaking.

While visual channels (e.g., color, shape, size) have been explored for visualizing data in data physicalizations, there is a lack of understanding regarding how to encode data into physical material properties (e.g., roughness, hardness). This understanding is critical for ensuring data is correctly communicated and for potentially extending the channels and bandwidth available for encoding that data. We present a method to encode ordinal data into roughness, validated through user studies. In the first study, we identified just noticeable differences in perceived roughness from this method. In the second study, we 3D-printed proof of concepts for five different multivariate physicalizations using the model. These physicalizations were qualitatively explored (N=10) to understand people’s comprehension and impressions of the roughness channel. Our findings suggest roughness may be used for certain types of data encoding, and the context of the data can impact how people interpret roughness mapping direction.

Children and elderly users typically interact very differently with the same software interfaces. These should be taken into consideration while designing and developing software that will be used by these users. In order to better understand the characteristics of children and elderly users of software, we systematically reviewed the relevant literature. We identified different facets of children and the elderly that are relevant to their interaction with the software. The facets for children are- Special needs children, Interaction with technology and General characteristics. Facets for elderly users are- Technical proficiency, Interaction with technology, Technology expectations and General characteristics. We developed a tool with different descriptions of those facets collected from our review. We collected feedback on the tool from experts and refined the tool accordingly. The personas generated using the tool can be used as is or can be extended by adding more context-specific information to the personas. The tool will help designers and developers of software interfaces to better understand the requirements of these user groups and to incorporate their specific needs during design and development. This will result in reducing biases arising from age-related facets and help to create more inclusive software.