CHI Conference on Human Factors in Computing Systems Extended Abstracts 2022
DOI: 10.1145/3491101.3503813
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Improving the Discoverability of Interactions in Interactive Systems

Abstract: In an ever increasingly complex technological landscape, interaction methods need to support users in their own discovery. This is exacerbated by a general aversion to instruction manuals and a trend towards invisible controls. Consequently, a lack of support for awareness or recognition of interaction possibilities leads to inefficient usage or complete disregard of the system. However, despite standard work imploring that users should be able to "figure out what actions are possible and where and how to perf… Show more

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Cited by 3 publications
(3 citation statements)
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“…The distribution of orange bars along the entire x axis indicates that students in the experimental condition (DynamicAG) interacted more with game elements than those in the control condition (Brunner-Munzel p-value = 0.011 < 0.05; Cohen's d = 1.0001 large effect size). However, this metric gives low values in both conditions, which can be explained by the discoverability of the designed elements [49]. That is, the students did not notice that some elements were interactive.…”
Section: Resultsmentioning
confidence: 86%
“…The distribution of orange bars along the entire x axis indicates that students in the experimental condition (DynamicAG) interacted more with game elements than those in the control condition (Brunner-Munzel p-value = 0.011 < 0.05; Cohen's d = 1.0001 large effect size). However, this metric gives low values in both conditions, which can be explained by the discoverability of the designed elements [49]. That is, the students did not notice that some elements were interactive.…”
Section: Resultsmentioning
confidence: 86%
“…To assess how the gestures designed with in situ observations plus identification studies compare with those crafted with a traditional elicitation approach, we focused on the discoverability [30,46] of the resulting gesture set. Specifically.…”
Section: Step 2-discoverability Evaluation (In Situ)mentioning
confidence: 99%
“…to promote discovery such as limiting the number of commands available at any given time, making commands distinguishable, and providing continuous feedback [55]. Because interactions relying on drag-and-drop can be hard to discover [51], we took special care to inform users when they could initiate a drag-and-drop interaction and where they could drop their selection. New users unaware of the drag-and-drop interface are likely to click one of the icons below the Data Table.…”
Section: Discoverability Chartdetective Follows Common Guidelinesmentioning
confidence: 99%