Google Indoor Maps or Google Indoor No Maps? Usability Study of an Adapted Mobile Indoor Wayfinding Aid

Author(s):  
Laure De Cock ◽  
Kristien Ooms ◽  
Nico Van de Weghe ◽  
Philippe De Maeyer
2008 ◽  
Author(s):  
Mahiyar F. Nasarwanji ◽  
Victor L. Paquet ◽  
David J. Feathers ◽  
James A. Lenker

2021 ◽  
Vol 5 (EICS) ◽  
pp. 1-18
Author(s):  
Hae-Na Lee ◽  
Vikas Ashok ◽  
IV Ramakrishnan

Many people with low vision rely on screen-magnifier assistive technology to interact with productivity applications such as word processors, spreadsheets, and presentation software. Despite the importance of these applications, little is known about their usability with respect to low-vision screen-magnifier users. To fill this knowledge gap, we conducted a usability study with 10 low-vision participants having different eye conditions. In this study, we observed that most usability issues were predominantly due to high spatial separation between main edit area and command ribbons on the screen, as well as the wide span grid-layout of command ribbons; these two GUI aspects did not gel with the screen-magnifier interface due to lack of instantaneous WYSIWYG (What You See Is What You Get) feedback after applying commands, given that the participants could only view a portion of the screen at any time. Informed by the study findings, we developed MagPro, an augmentation to productivity applications, which significantly improves usability by not only bringing application commands as close as possible to the user's current viewport focus, but also enabling easy and straightforward exploration of these commands using simple mouse actions. A user study with nine participants revealed that MagPro significantly reduced the time and workload to do routine command-access tasks, compared to using the state-of-the-art screen magnifier.


Author(s):  
Elif Surer ◽  
Mustafa Erkayaoğlu ◽  
Zeynep Nur Öztürk ◽  
Furkan Yücel ◽  
Emin Alp Bıyık ◽  
...  

Author(s):  
Eda Tonga ◽  
Esther Williamson ◽  
Cynthia Srikesavan ◽  
Tuğçe Özen ◽  
Fatih Sarıtaş ◽  
...  

Author(s):  
Kanupriya Singh ◽  
Shangman Li ◽  
Isa Jahnke ◽  
Ashish Pandey ◽  
Zhen Lyu ◽  
...  
Keyword(s):  
Big Data ◽  

Author(s):  
Homa Amini ◽  
Megan E. Gregory ◽  
Mary Ann Abrams ◽  
John Luna ◽  
Maxwell Roland ◽  
...  

2021 ◽  
Vol 69 (6) ◽  
pp. 550-561
Author(s):  
Mark Verjans ◽  
Lovis Phlippen ◽  
Zongshuo Li ◽  
Philipp Schleer ◽  
Klaus Radermacher

Abstract A novel approach for a patient transportation aid for emergency medical services bases on a wheel hub stair-climbing mechanism, which currently requires a manual adjustment relative to the stair edges. In this paper, an approach for an automation is presented which utilizes two distance sensors to characterize stairs and determine the relative position to them. A controller can then adjust the system’s position automatically. A user supervision concept copes with sensor inaccuracies or errors, resulting in a semi-automatic process. Within a formative usability study ( n = 11 n=11 users) the algorithm was able to reconstruct the stairs and drive the system neither falling down nor colliding with steps. The semi-automatic process reduced climbing time by 59 % and the participants reported a higher subjective usability compared to manual stair climbing.


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