Conference paper Open Access

Effects of Auto-Suggest on the Usability of Search in eCommerce

Furtner,Katharina C.; Mandl ,Thomas ; Womser-Hacker, Christa

The following study analyses the effects of Auto-Suggest as implemented on
mobile Websites on user’s search in m-commerce-shops. A benchmark
showed that many design guidelines regarding the implementation of Auto-
Suggest have been fulfilled. For usability tests, different designs of Auto-
Suggest have been systematically selected. The results showed that the Auto-
Suggest function guarantees a faster interaction with the website for most of
the tasks on average. For tasks which require more time, the additional interaction
time is around 10% and, surprisingly, does not result from more interaction
steps. Many qualitative findings explain how interacting with Auto-
Suggest can be troublesome for users.

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