Designing interaction to support sustained attention
Hacioglu, Naile, Leva, Maria ChiaraORCID: 0000-0002-6770-8332 and Lee, HyowonORCID: 0000-0003-4395-7702
(2023)
Designing interaction to support sustained attention.
In: INTERACT 2023: 19th International Conference of Technical Committee 13 (Human- Computer Interaction) of IFIP (International Federation for Information Processing)., 28 Aug - 1 Sep 2023, York, GB & online.
The impact of digital technology on human cognition has become a topic of significant interest in recent years, with various studies highlighting the adverse effects on cognition, particularly attention. While the negative impact of digital applications on our attentional processes is well-documented, practical solutions to mitigate these detrimental effects are rare. In this paper, we propose Attention Mode as a design solution that aims to minimise the negative impacts of digital technology on attention by creating easy-to-understand and navigate user interfaces. This approach can help users focus on tasks, reduce cognitive load, and minimise distractions, ultimately improving their overall experience. We developed interaction mock-ups incorporating the Attention Mode and conducted a preliminary one-to-one sharing with 5 participants to analyse to get early feedback. It resulted in valuable feedback on how such a design focus could help users to focus on the content without distractive elements. By integrating the issues from the start of the design process instead of handling it as an afterthought, this work offers new insights into crafting user interfaces in a way that the negative impact of digital technology on attention is mitigated.
Metadata
Item Type:
Conference or Workshop Item (Poster)
Event Type:
Conference
Refereed:
Yes
Uncontrolled Keywords:
Sustained Attention; Cognition, User Interface Design; Usability; Digital Technology; Smart Devices; Distraction; Task Switching; Notifications
SFI Centre for Research Training in Digitally-Enhanced Reality (d-real) under Grant No. 18/CRT/6224, SFI Centre Grant No. 12/RC/2289_P2 at Insight the SFI Research Centre for Data Analytics
ID Code:
28911
Deposited On:
21 Aug 2023 15:28 by
Hyowon Lee
. Last Modified 11 Sep 2023 09:44