Re-designing the interaction of day-to-day applications to support sustained attention level
Hacioglu, Naile, Leva, Maria ChiaraORCID: 0000-0002-6770-8332 and Lee, HyowonORCID: 0000-0003-4395-7702
(2023)
Re-designing the interaction of day-to-day applications to support sustained attention level.
In: HCI International 2023: 25th International Conference On Human-Computer Interaction, 23-28 July 2023, Copenhagen, Denmark.
(In Press)
Digital distractions in decreasing people's attentional abilities have become a subject of increasing concern and scrutiny in recent years. Based on the existing literature regarding the negative impact of technology on attention, this paper examines various solutions, encompassing mostly reactive strategies. It also questions the prevailing design practices prioritising learnability and efficiency and proposes a shift towards designing interactions that minimise distractions and promote sustained attention while emphasising the negative consequences of distraction-prone interactions on users' attentional resources. As a proactive solution, we present a novel interaction strategy called "Attention mode," which selectively reduces distractions when using apps. We developed three prototypes that consistently incorporate this strategy, each used in a different application on a different device: a news website on a desktop, an e- book reading app on a tablet, and a video-watching app on a smartphone. We conducted usability testing with 13 participants to evaluate this design feature and address the implications of these in the interaction design knowledge and practice today. By advocating for considering users' attentional abilities in design, this work contributes to the field of Human-Computer Interaction (HCI) and calls for a balance between cognitive well-being and traditional usability criteria.
Metadata
Item Type:
Conference or Workshop Item (Paper)
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 at Dublin City University
ID Code:
28920
Deposited On:
17 Aug 2023 13:12 by
Hyowon Lee
. Last Modified 17 Aug 2023 13:12