EconPapers    
Economics at your fingertips  
 

Performance of mobile users with text-only and text-and-icon menus in seated and walking situations

Khalid Majrashi

Behaviour and Information Technology, 2022, vol. 41, issue 1, 32-50

Abstract: We investigated mobile users’ performance on text-only and text-and-icon menu interfaces of short and medium lengths. We conducted two experiments, with 18 participants each, on four mobile menus in two common usage situations, seated and walking. In Experiment 1, seated participants conducted known-item searches of word menus on short and medium text-only menus and short and medium text-and-icon menus. In Experiment 2, we replicated the first experiment in a walking context of use. We used selection time and error as performance measures in both experiments, plus walking speed in the second. Results showed that, when seated, participants recorded faster times in selecting targets with text-and-icon medium menu than text-only medium menu. Participants, when walking, had significantly faster selection times with text-and-icon short menu than text-only short menu, and with text-and-icon medium menu than text-only medium menu. Text-and-icon medium menu also resulted in fewer incorrect selections by users than text-only medium menu in the walking situation. Further, when comparing menus of the same length in the walking situation, text-and-icon menu had a more efficient learning curve than text-only menu. Walking speed was better with text-and-icon medium menu than text-only medium menu. We discuss results and highlight theoretical and practical implications.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2020.1795257 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:41:y:2022:i:1:p:32-50

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2020.1795257

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tbitxx:v:41:y:2022:i:1:p:32-50