Designers need to take into account icon characteristics other than concreteness when creating icons, particularly semantic distance and familiarity. The precise importance of the latter characteristics will vary depending on whether icons are rarely encountered or frequently used.
The results have applicability for auditory displays in the vehicle interface, whereas the theoretical framework is of value in auditory display design in a broader context.
The associative network theory of memory [2] is outlined along with the concepts of mood congruity and state dependent learning. Two experiments are reported which investigate the occurrence of these effects where memory for pain is concerned. In experiment 1 the performance of 25 chronic pain patients was compared with that of 25 non-patient controls on a test involving both immediate and delayed recall of a mixed list of stimulus words of 3 types: pain-related, negative or neutral. No significant group differences were found in overall rates of immediate recall. As predicted, however, pain patients recalled more pain-related words than non-patient controls (P less than 0.001). On delayed recall the same significant group x word-type interaction was obtained (P less than 0.02), but in addition the non-patient controls recalled significantly more words overall (P less than 0.02). These results provide some evidence for the occurrence of a mood congruity effect. Experiment 2 investigated state dependent learning and mood congruity effects in experimentally induced pain. Twenty volunteer subjects were allocated to 1 of 4 conditions in which a wordlist (as in experiment 1) was presented following either a painful stimulus (cold pressor test) or a non-painful one (warm water) and was then recalled immediately following further exposure to stimulus conditions which were congruent with the original stimulus (warm/warm and cold/cold conditions) or non-congruent (warm/cold and cold/warm conditions). A 3-way split plot ANOVA yielded no significant main effects for group or word-type, but a significant interaction emerged between state at encoding and at recall (P less than 0.04).(ABSTRACT TRUNCATED AT 250 WORDS)
Communication using icons is now commonplace. It is therefore important to understand the processes involved in icon comprehension and the stimulus cues that individuals utilize to facilitate identification. In this study, we examined predictors of icon identification as participants gained experience with icons over a series of learning trials. A dynamic pattern of findings emerged in which the primary predictors of identification changed as learning progressed. In early learning trials, semantic distance (the closeness of the relationship between icon and function) was the best predictor of performance, accounting for up to 55% of the variance observed, whereas familiarity with the function was more important in later trials. Other stimulus characteristics, such as our familiarity with the graphic in the icon and its concreteness, were also found to be important for icon design. The theoretical implications of these findings are discussed, with particular emphasis on the parallels with picture naming. The icon identification norms from this study may be downloaded from brm.psychonomic-journals .org/content/supplemental.
Visual icons can be considered as a means for designers to convey messages to end-users via the interface of a computer system. This paper explores the relationship between the users' interpretation of icons and the meaning that designers intend icons to convey. Focussing on interface users' understanding of icons, recent research has shown that it is the closeness of the relationship between icon and function, known as the semantic distance, that is of prime importance in determining the success of icon usability. This contrasts with previous research which has suggested that the concreteness, or pictorialness, of icons is the key to good design. The theoretical and practical implications of these findings are discussed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.