Interactive speech technologies such as Siri and Amazon Echo allow people to search for information via speech. These systems generally take a single spoken statement or query as input, which may not be enough to fully capture the user’s information need. Therefore, multi-turn conversations have been proposed to establish more detail. A conversational approach can particularly benefit children who experience more difficulty formulating precise queries. We carried out a study with 32 children comparing multi-turn conversations with single-shot (or Query-Response) interactions. We compared the descriptions of the information needs, as well as children’s search experience. Findings indicate that more elaborate descriptions of children’s information needs (more keywords) were gathered through conversational search, leading to more focused search results compared with the Query-Response search. Further analysis of children’s responses yielded insights into their preferences for conversing with speech-based interfaces. This paper also offers design and methodological recommendations for conversational agents that support children’s information search.

We present a case study in which we seek to investigate what motivates interaction design students to take a small elective course in Child–Computer Interaction (CCI) and what we can offer as a ‘tasting menu’, a small sample of emerging research specialties, to awaken their interest for CCI. The study clarifies what motivated students to take the elective course and what their learning expectations were before the start of the course. We then prototyped and piloted a research-based ‘tasting menu’ type of course and conducted a formative and summative evaluation with the students. The contribution of this paper is a set of recommendations for onboarding new talent to the research field by teaching CCI in a modular fashion to interaction design students, based on students’ and teachers’ experiences.

Children and adolescents in the UK are increasingly at risk of significant health problems due to physical inactivity. While activity trackers and fitness applications have focused on addressing this problem in youth, poor wear-time compliance and usability and accessibility issues have been frequently reported in the literature as barriers to engagement. Physicalization of data offers an alternative approach to engage with physical activity (PA). In this paper, we present the results of a seven-week qualitative study with 97 primary and secondary school children (8-14 years old). We took a temporal approach to collect children's and adolescents' perspectives in short video interviews as they received 3D-printed models representing their faded-weekly PA levels. Our findings showed that children's and adolescents' emotional engagement with the models remained high throughout the study, while their reflection on the models and their knowledge of what constitutes PA and its different types evolved over time. The findings from this temporal study suggest that tangible data visualization of PA evokes experiences such as embodied reflection, active learning, emotional engagement, and temporality of PA experience. Therefore, we argue that the motivational impact of regular tangible visualizations as a form of feedback should be considered alongside wearable trackers in addressing childhood inactivity.