HCDec 1, 2021
InfoPrint: Embedding Information into 3D Printed ObjectsWeiwei Jiang, Chaofan Wang, Zhanna Sarsenbayeva et al.
We present a technique to embed information invisible to the eye inside 3D printed objects. The information is integrated in the object model, and then fabricated using off-the-shelf dual-head FDM (Fused Deposition Modeling) 3D printers. Our process does not require human intervention during or after printing with the integrated model. The information can be arbitrary symbols, such as icons, text,binary, or handwriting. To retrieve the information, we evaluate two different infrared-based imaging devices that are readily available-thermal cameras and near-infrared scanners. Based on our results, we propose design guidelines for a range of use cases to embed and extract hidden information. We demonstrate how our method can be used for different applications, such as interactive thermal displays, hidden board game tokens, tagging functional printed objects, and autographing non-fungible fabrication work.
HCJul 20, 2021
Readability Research: An Interdisciplinary ApproachSofie Beier, Sam Berlow, Esat Boucaud et al.
Readability is on the cusp of a revolution. Fixed text is becoming fluid as a proliferation of digital reading devices rewrite what a document can do. As past constraints make way for more flexible opportunities, there is great need to understand how reading formats can be tuned to the situation and the individual. We aim to provide a firm foundation for readability research, a comprehensive framework for modern, multi-disciplinary readability research. Readability refers to aspects of visual information design which impact information flow from the page to the reader. Readability can be enhanced by changes to the set of typographical characteristics of a text. These aspects can be modified on-demand, instantly improving the ease with which a reader can process and derive meaning from text. We call on a multi-disciplinary research community to take up these challenges to elevate reading outcomes and provide the tools to do so effectively.
HCMay 19, 2021
Three prophylactic interventions to counter fake news on social mediaDavid A. Eccles, Tilman Dingler
Fake news on Social Media undermines democratic institutions and processes. Especially since 2016, researchers from many disciplines have focussed on ways to address the phenomenon. Much of the research focus to date has been on identification and understanding the nature of the phenomenon in and between social networks and of a rather reactive nature. We propose interventions that focus on individual user empowerment, and social media structural change that is prophylactic (pre exposure), rather than therapeutic (post exposure) with the goal of reducing the population exposed to fake news. We investigate interventions that result in greater user elaboration (cognitive effort) before exposure to fake news. We propose three interventions i) psychological inoculation, ii) fostering digital and media literacy and iii) imposition of user transaction costs. Each intervention promises to illicit greater cognitive effort in message evaluation and reduce the likelihood of creating, sharing, liking and consuming 'fake news'.
HCApr 14, 2021
Mitigating the Effects of Reading Interruptions by Providing Reviews and PreviewsNamrata Srivastava, Rajiv Jain, Jennifer Healey et al.
As reading on mobile devices is becoming more ubiquitous, content is consumed in shorter intervals and is punctuated by frequent interruptions. In this work, we explore the best way to mitigate the effects of reading interruptions on longer text passages. Our hypothesis is that short summaries of either previously read content (reviews) or upcoming content (previews) will help the reader re-engage with the reading task. Our target use case is for students who study using electronic textbooks and who are frequently mobile. We present a series of pilot studies that examine the benefits of different types of summaries and their locations, with respect to variations in text content and participant cohorts. We find that users prefer reviews after an interruption, but that previews shown after interruptions have a larger positive influence on comprehension. Our work is a first step towards smart reading applications that proactively provide text summaries to mitigate interruptions on the go.