Author List: Wang, Weiquan; Benbasat, Izak;
Information Systems Research, 2013, Volume 24, Issue 3, Page 861-876.
Interactive online decision aids often employ user-decision aid dialogues as forms of user-system interaction to help construct and elicit users' attribute preferences about a product type. This study extends prior research on online decision aids by investigating the effects of a decision aid's user-system interaction mode (USIM), which can be either user-guided or system-controlled, on users' effort-related (number of iterations of using the aid and perceived cognitive effort expended in using it) and quality-related (perceived quality of the aid and acceptance of the product advice it provides) assessments. A contingency approach with two moderating factors is employed. One factor is the decision strategy (additive-compensatory or elimination) employed by the aid, and the other is the users' product knowledge (high or low). A laboratory experiment was conducted to compare online decision aids with different USIMs. Although the results largely confirm that users assess the user-guided USIM more positively than the system-controlled USIM, the effects of USIM are stronger in two settings: for the elimination-based aid than for the additivecompensatory- based aid and for users with low product knowledge than for those with high product knowledge, especially in terms of effort assessments. This research advances the theoretical understanding of the effects of interaction between two critical components of online decision aids (USIMs and decision strategies) and the moderating role of user characteristics (product knowledge) in affecting users' evaluations. It also provides practitioners with design advice for developing these aids.
Keywords: cognitive effort; decision strategy; online decision aid; product knowledge; system quality; system restrictiveness; user-system interaction mode
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#177 0.326 decision accuracy aid aids prediction experiment effects accurate support making preferences interaction judgment hybrid perceptual strategy account context restrictiveness taking
#94 0.152 effort users advice ras trade-off recommendation agents difficulty decision make acceptance product loss trade-offs context perceived influence laboratory reasons consumers
#130 0.096 online users active paper using increasingly informational user data internet overall little various understanding empirical despite lead cascades help availability
#89 0.083 product products quality used characteristics examines role provide goods customization provides offer core sell key potential stronger insights design initial
#180 0.073 multiple elements process environments complex integrated interdependencies design different developing integration order approach dialogue framework capabilities settings building focus distinct
#53 0.050 knowledge application management domain processes kms systems study different use domains role comprehension effective types draw scope furthermore level levels