Investigating the Necessity of Delay in Marking Menu Invocation
Authors
Delayed display of menu items is a core design component of marking menus, arguably to prevent visual distraction and foster the use of mark mode. We investigate these assumptions, by contrasting the original marking menu design with immediately-displayed marking menus. In three controlled experiments, we fail to reveal obvious and systematic performance or usability advantages to using delay and mark mode. Only in very constrained settings after significant training and only two items to learn did traditional marking menus show a time improvement of about 260~ms. Otherwise, we found an overall decrease in performance with delay, whether participants exhibited practiced or unpracticed behaviour. Our final study failed to demonstrate that an immediately-displayed menu interface is more visually disrupting than a delayed menu. These findings inform the costs and benefits of incorporating delay in marking menus, and motivate guidelines for situations in which its use is desirable.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 100%
Conceptualizing Disagreement in Qualitative Coding
CHI '18· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
Rethinking Thinking Aloud: A Comparison of Three Think-Aloud Protocols
CHI '18· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
Retroactive Transfer Phenomena in Alternating User Interfaces
CHI '20· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
Distractor Effects on Crossing-Based Interaction
CHI '21· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
User Preference and Performance using Tagging and Browsing for Image Labeling
CHI '23· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
Tuning Endpoint-variability Parameters by Observed Error Rates to Obtain Better Prediction Accuracy of Pointing Misses
CHI '23· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
Self-Annotation Methods for Aligning Implicit and Explicit Human Feedback in Human-Robot Interaction
HRI '23· User Research Methods (Interviews, Surveys, Observation) +1
- 67%
Evaluation Strategies for HCI Toolkit Research
CHI '18· User Research Methods (Interviews, Surveys, Observation) +1
- 67%
Empirical Research Methods for Human-Computer Interaction
CHI '18· User Research Methods (Interviews, Surveys, Observation) +1
- 67%
Modeling Organizational Culture with Workplace Experiences Shared on Glassdoor
CHI '20· Knowledge Management & Team Awareness +2
Based on Jaccard similarity of research subtopics & professions (≥60%)