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contributor authorSchaffhausen, Cory R.
contributor authorKowalewski, Timothy M.
date accessioned2017-05-09T01:20:59Z
date available2017-05-09T01:20:59Z
date issued2015
identifier issn1050-0472
identifier othermd_137_07_071403.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/158848
description abstractUnderstanding user needs and preferences is increasingly recognized as a critical component of early stage product development. The largescale needfinding methods in this series of studies attempt to overcome shortcomings with existing methods, particularly in environments with limited user access. The three studies evaluated three specific types of stimuli to help users describe higher quantities of needs. Users were trained on need statements and then asked to enter as many need statements and optional background stories as possible. One or more stimulus types were presented, including prompts (a type of thought exercise), shared needs, and shared context images. Topics used were general household areas including cooking, cleaning, and trip planning. The results show that users can articulate a large number of needs unaided, and users consistently increased need quantity after viewing a stimulus. A final study collected 1735 needs statements and 1246 stories from 402 individuals in 24 hr. Shared needs and images significantly increased need quantity over other types. User experience (and not expertise) was a significant factor for increasing quantity, but may not warrant exclusive use of highexperience users in practice.
publisherThe American Society of Mechanical Engineers (ASME)
titleLarge Scale Needfinding: Methods of Increasing User Generated Needs From Large Populations
typeJournal Paper
journal volume137
journal issue7
journal titleJournal of Mechanical Design
identifier doi10.1115/1.4030161
journal fristpage71403
journal lastpage71403
identifier eissn1528-9001
treeJournal of Mechanical Design:;2015:;volume( 137 ):;issue: 007
contenttypeFulltext


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