Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems 2015
DOI: 10.1145/2702123.2702177
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Visual Grouping in Menu Interfaces

Abstract: Menu interfaces often arrange options into semantic groups. This semantic structure is then usually conveyed to the user by supplementary visual grouping cues. We investigate whether these visual grouping cues actually help users locate items in menus faster, and whether there is potential for these powerful grouping cues to impede search when used inappropriately. Thirty-six participants performed known-item searches of word menus. These menus differed along three dimensions: (1) whether visual grouping cues … Show more

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Cited by 7 publications
(4 citation statements)
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“…Selection of widgets is supported by measuring pen-tip pressure, or by pressing the pen down to touch the rigid surface. The different levels of softness could be used to design menu systems with different functional groupings, e.g., by adding to or complementing visual groupings [7]. Stiffer feedback could also be used to make potentially harmful delete actions harder to perform.…”
Section: What Are the Dependencies Between The Two Layers?mentioning
confidence: 99%
“…Selection of widgets is supported by measuring pen-tip pressure, or by pressing the pen down to touch the rigid surface. The different levels of softness could be used to design menu systems with different functional groupings, e.g., by adding to or complementing visual groupings [7]. Stiffer feedback could also be used to make potentially harmful delete actions harder to perform.…”
Section: What Are the Dependencies Between The Two Layers?mentioning
confidence: 99%
“…The search interface that supported contextual information search behavior could provide a further search for specific results in the current search interface, which would help users identify the multimodal search information and results (Wilson, 2011). Users’ perceptions of basic graphic assemblage impacts on searching results and searching process (Brumby and Zhuang, 2015). The search interface design was constructed by combining lines, depth, dimension, organization, symbol, label, text, icon, color and network topology (Nyhan, 2014).…”
Section: Literature Backgroundmentioning
confidence: 99%
“…Komarov et al (2013) compared crowd-and lab-sourced data from several menu-search experiments. Menu searching is a common practical HCI problem that has received significant research attention (e.g., Bailly et al, 2014;Brumby et al, 2014;Brumby and Howes, 2008;Brumby and Zhuang, 2015). Experiments typically involve making small adjustments to the presentation of menus and then measuring search times to see if those adjustments have affected performance.…”
Section: Comparative Studies Of Crowdsourcingmentioning
confidence: 99%