Budden, A.E.

Hughes, Dane

Volentine, Rachel E

English

University of Tennessee, Knoxville: Trace

University of Tennessee, KnoxvilleTrace: Tennessee Research and CreativeExchangeDataONE Sociocultural and Usability &Assessment Working Groups Communication and Information2014Usability analysis within The DataONE network ofcollaborators.A.E. BuddenRachel E. VolentineUniversity of Tennessee - Knoxville, rvolenti@utk.eduDane HughesUniversity of Tennessee, KnoxvilleFollow this and additional works at: https://trace.tennessee.edu/utk_dataonePart of the Library and Information Science CommonsThis Presentation is brought to you for free and open access by the Communication and Information at Trace: Tennessee Research and CreativeExchange. It has been accepted for inclusion in DataONE Sociocultural and Usability & Assessment Working Groups by an authorized administrator ofTrace: Tennessee Research and Creative Exchange. For more information, please contact trace@utk.edu.Recommended CitationBudden A.E., Volentine, R., & Hughes, D. (2014). Usability analysis within The DataONE network of collaborators. Poster sessionpresented at American Geophysical Union Fall Meeting 2014, San Francisco, CA.                                                                            Amber Budden1, Rachel Volentine2, Dane Hughes2 1University of New Mexico, 2University of Tennessee-Knoxville Usability Analysis Within the DataONE Network of Collaborators www.dataone.org Support provided for DataONE by US National Science Foundation award #0830944 and #1430508 under a Cooperative Agreement For more information see www.DataONE.org, www.facebook.com/DataONEorg; follow @DataONEorg or contact info@DataONE.org 	  	   What is DataONE?  Cyberinfrastructure enterprise  (tools, ideas, people)  Distributed Framework of  Coordinating Nodes and Member Nodes              Member Nodes •  Diversity tolerant (less tightly coordinated) •  Freedom to try or build new tools, methods and leapfrog forward Coordinating Nodes •  Tightly coordinated, stable service platform •  CI based on cases prioritized for functionality •  Support and adapt existing community software efforts	  	  	  	  	  	  Provide support for the entire data life cycle -preparation of data sets, stewardship, tools to access and use the data •  Collection/preparation •  Deposition/acquisition/ingest •  Curation and metadata management •  Protection, including privacy •  Discovery, access, use and dissemination •  Interoperability •  Exploration, visualization and analysis  What is User-Experience Testing? User-experience testing assesses the quality and ease of a user’s  experience when interacting with a product or system           In a user-experience test the researcher observes users as they perform a variety of tasks.  The testing provides insight into problems the  user encounters.  Common measures include: •  Time on task •  Number of keystrokes or mouse clicks •  Error frequency •  Think-Aloud •  Pre and Post Questionnaires   User-Experience testing looks not only at their ability to navigate and find information, but how satisfied they were with the process. •  Did they find the product easy to use? •  Were they frustrated? Why? •  How confident were they using the product? •  How likely are they to use the product again?  What is Eye-Tracking? Eye-Tracking measures where the user is looking (fixation points) and the movement of the eye (gaze path).  Eye-tracking provides valuable information to evaluate the effectiveness and efficiency of a product or system. 	  	  User-Experience Lab Capabilities: •  Eye-tracking  •  User Research •  Heuristic Evaluation •  Focus Groups analysis •  Galvanic Skin Response •  Portable Usability Testing •  Remote Usability Testing •  Mobile Usability Testing •  Usability Training 	  	  Benefits of user-experience testing: •  Study what users do (not just what they  say they do) •  Understand user behaviors, needs, and motivations •  Create an efficient, useful, and accessible product •  Create a pleasing user interface •  Provide a good return on investment •  Compare different product designs	   Coordinating Nodes •  retain complete metadata catalog  •  indexing for search •  network-wide services •  ensure content availability (preservation)   •  replication services Member Nodes •  diverse institutions •  serve local community •  provide resources for managing their data •  retain copies of data This helps you: •  Detect usability issues •  Design an optimal page layout •  Study how users interact with information •  Study users’ search strategies or  decision-making processes Eye-Tracking measures: •  What attracts the users’ attention •  How long users focus on each area •  What areas of the page attract the most attention •  How users read/view the information  Acknowledgements Special thanks to Mike Frame, Carol Tenopir,  Suzie Allard and the members of the DataONE  Usability and Assessment Working Group Bibliography •  www.usability.gov •  Holmquist, K., et al. Eye Tracking: A Comprehensive Guide to  Methods and Measures. 2011. •  Krug, Steve. Don’t Make Me Think: A Common Sense Approach to  Web Usability. 2005. •  Kuniavsky, M. Observing the user experience: A practitioner’s guide  to user research, 2003. For more information please visit:  http://cics.cci.utk.edu/user-experience-lab  

Usability analysis within The DataONE network of collaborators.

https://trace.tennessee.edu/cgi/viewcontent.cgi?article=1087&amp;context=utk_dataone

Usability analysis within The DataONE network of collaborators.

Abstract

Similar works

Full text

Available Versions

University of Tennessee, Knoxville: Trace