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Anna L. Cox
Researcher at University College London
Publications - 244
Citations - 7255
Anna L. Cox is an academic researcher from University College London. The author has contributed to research in topics: Human multitasking & Citizen science. The author has an hindex of 38, co-authored 233 publications receiving 5926 citations. Previous affiliations of Anna L. Cox include University of Hertfordshire.
Papers
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Journal ArticleDOI
Measuring and defining the experience of immersion in games
TL;DR: Overall the findings suggest that immersion can be measured subjectively as well as objectively (task completion time, eye movements) and negative emotions and uneasiness also run high.
Book ChapterDOI
Questionnaires, in-depth interviews and focus groups
Anne Adams,Anna L. Cox +1 more
TL;DR: This chapter describes how to choose between and design questionnaires, interviews and focus group studies and using two examples illustrates the advantages of combining a number of approaches when conducting HCI research.
Book ChapterDOI
Cognitive Dimensions of Notations: Design Tools for Cognitive Technology
Alan F. Blackwell,C. Britton,Anna L. Cox,Thomas R. G. Green,Corin A. Gurr,Gada Kadoda,Maria Kutar,Martin J. Loomes,Chrystopher L. Nehaniv,Marian Petre,Chris Roast,Chris A Roe,Allan Wong,Richard M. Young +13 more
TL;DR: The Cognitive Dimensions of Notations (CDFN) framework as discussed by the authors has been developed to assist the designers of notational systems and information artifacts to evaluate their designs with respect to the impact that they will have on the users of those designs.
BookDOI
Research Methods for Human-Computer Interaction
Paul Cairns,Anna L. Cox +1 more
TL;DR: This is the first book to provide a single resource through which a range of commonly used research methods in HCI are introduced and how to develop new methodologies and write up your research.
Proceedings ArticleDOI
Beyond Self-Tracking and Reminders: Designing Smartphone Apps That Support Habit Formation
TL;DR: It is argued that apps, and technology-based interventions in general, have the potential to provide real habit support, and design guidelines for interventions that could support habit formation through contextual cues and implementation intentions are presented.