Given the current ecological crisis, the HCI and design community is showing a growing interest in the adoption of more-than-human perspectives, challenging human-centric approaches. While this has sparked numerous research initiatives, many of them are still a far cry from providing practical solutions or transforming the industry. This also presents a hurdle for teaching more-than-human perspectives to design students, as they may feel powerless to practice those teachings in real-life industrial settings. To bring forth concrete examples of how more-than-human design practice can matter, we believe that it is now time to move beyond theorising about and advocating for the adoption of such perspectives and start a more-than-human design practice that transforms the industry. This workshop therefore aims to bring together educators, researchers, and designers to discuss and co-develop strategies for transitioning more-than-human perspectives from niche/speculation to mainstream/practice in HCI and design. The workshop also aims to develop ways to empower students to work with these perspectives to bring about this transformation of the industry.

In this special interest group (SIG) we invite researchers, practitioners, and educators to share their perspectives and experiences on the expansion of human-centred perspective to more-than-human design orientation in human-computer interaction (HCI). This design for and with more-than-human perspectives and values cover a range of fields and topics, and comes with unique design opportunities and challenges. In this SIG, we propose a forum for exchange of concrete experiences and a range of perspectives, and to facilitate reflective discussions and the identification of possible future paths.

When involving children in the design process, it is important to understand the novelty of their design solutions. This paper reviews the applicability of an often cited novelty metric Shah et al. (2003) for the comparison of two design methods conducted with 8-10 year old children. The novelty metric is applied to data that is different for a number of parameters, such as a different design phase (exploratory instead of conceptual), size and variety. The results yielded by this novelty metric are not straightforward. This paper describes the difficulties encountered and introduces an alternative approach. The alternative approach leads to better results for any amount of data, for an exploratory phase. Additionally the paper explains how this approach increases the sensitivity for detecting differences in novelty when comparing design methods.