Show simple item record

Supporting Monitoring and Interruption Management in Complex Domains through Graded Multimodal Notifications.

dc.contributor.authorJayaraman, Swapnaaen_US
dc.date.accessioned2011-06-10T18:20:21Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2011-06-10T18:20:21Z
dc.date.issued2011en_US
dc.date.submitteden_US
dc.identifier.urihttps://hdl.handle.net/2027.42/84579
dc.description.abstractOperators working in complex data-rich environments, such as air traffic control, need to cope with considerable, often competing, attentional demands. They experience data overload in vision and audition, are required to timeshare tasks, and need to manage unexpected changes and events. Current technologies fail to support them in handling these challenges. This has led to breakdowns in performance and, in some cases, accidents. The goal of the present research is to develop novel informative types of notifications that minimize unnecessary attention switching and better assist operators in attention management. They inform operators about the presence of an interruption as well as its urgency and location, thereby helping operators avoid performance costs associated with attention switching. Based on the assertion that information can be better processed in parallel if distributed across modalities, these notifications employ and combine two under-utilized modalities: touch and peripheral vision. They are graded, i.e., their salience varies over time, to reflect changes in the importance of attending to an interruption. Gradation was implemented either intra- or crossmodally (i.e., within or across peripheral vision and touch). The proposed designs were expected to improve the detection of unexpected events and the decision making about attention switching without significantly affecting performance on ongoing primary tasks. A series of studies were conducted to a) identify effective tactile notification designs, b) compare the effectiveness of peripheral visual and tactile notifications, and c) evaluate 5 notification schemes that employ peripheral vision and touch as well as gradation. The findings from this research show significantly improved interruption management and overall task performance for all cued over uncued conditions, especially in the case of crossmodally graded notifications. They contribute to the knowledge base in multimodal information processing and display design as well as attention/ interruption management. This work goes beyond earlier studies by comparing the robustness of peripheral visual and tactile notifications under high workload and by exploring not only intra- but also crossmodal gradation in interruption cueing. At an applied level, it suggests ways in which future ATC operations can be supported more effectively to ensure the continued safety of the air transportation system.en_US
dc.language.isoen_USen_US
dc.subjectGraded Notificationsen_US
dc.subjectMultimodal Notificationsen_US
dc.subjectMonitoring, Interruption Management, Attention Managementen_US
dc.subjectPeripheral Visual and Tactileen_US
dc.subjectComplex Domainsen_US
dc.subjectAir Traffic Controlen_US
dc.titleSupporting Monitoring and Interruption Management in Complex Domains through Graded Multimodal Notifications.en_US
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineIndustrial & Operations Engineeringen_US
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studiesen_US
dc.contributor.committeememberSarter, Nadine B.en_US
dc.contributor.committeememberLiu, Yilien_US
dc.contributor.committeememberMartin, Bernard J.en_US
dc.contributor.committeememberSeifert, Colleen M.en_US
dc.subject.hlbsecondlevelIndustrial and Operations Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/84579/1/swapnaa_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.