Priscilla Balestrucci, Katrin Angerbauer, C. Morariu, Robin Welsch, Lewis L. Chuang, D. Weiskopf, M. Ernst, M. Sedlmair
{"title":"Pipelines Bent, Pipelines Broken: Interdisciplinary Self-Reflection on the Impact of COVID-19 on Current and Future Research (Position Paper)","authors":"Priscilla Balestrucci, Katrin Angerbauer, C. Morariu, Robin Welsch, Lewis L. Chuang, D. Weiskopf, M. Ernst, M. Sedlmair","doi":"10.1109/BELIV51497.2020.00009","DOIUrl":null,"url":null,"abstract":"Among the many changes brought about by the COVID-19 pandemic, one of the most pressing for scientific research concerns user testing. For the researchers who conduct studies with human participants, the requirements for social distancing have created a need for reflecting on methodologies that previously seemed relatively straightforward. It has become clear from the emerging literature on the topic and from first-hand experiences of researchers that the restrictions due to the pandemic affect every aspect of the research pipeline. The current paper offers an initial reflection on user-based research, drawing on the authors’ own experiences and on the results of a survey that was conducted among researchers in different disciplines, primarily psychology, human-computer interaction (HCI), and visualization communities. While this sampling of researchers is by no means comprehensive, the multi-disciplinary approach and the consideration of different aspects of the research pipeline allow us to examine current and future challenges for user-based research. Through an exploration of these issues, this paper also invites others in the VIS—as well as in the wider—research community, to reflect on and discuss the ways in which the current crisis might also present new and previously unexplored opportunities.","PeriodicalId":282674,"journal":{"name":"2020 IEEE Workshop on Evaluation and Beyond - Methodological Approaches to Visualization (BELIV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Workshop on Evaluation and Beyond - Methodological Approaches to Visualization (BELIV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BELIV51497.2020.00009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Among the many changes brought about by the COVID-19 pandemic, one of the most pressing for scientific research concerns user testing. For the researchers who conduct studies with human participants, the requirements for social distancing have created a need for reflecting on methodologies that previously seemed relatively straightforward. It has become clear from the emerging literature on the topic and from first-hand experiences of researchers that the restrictions due to the pandemic affect every aspect of the research pipeline. The current paper offers an initial reflection on user-based research, drawing on the authors’ own experiences and on the results of a survey that was conducted among researchers in different disciplines, primarily psychology, human-computer interaction (HCI), and visualization communities. While this sampling of researchers is by no means comprehensive, the multi-disciplinary approach and the consideration of different aspects of the research pipeline allow us to examine current and future challenges for user-based research. Through an exploration of these issues, this paper also invites others in the VIS—as well as in the wider—research community, to reflect on and discuss the ways in which the current crisis might also present new and previously unexplored opportunities.