Twitter Out Loud: connecting people in organisations

Fairbairn, Laurence D., and Sankupellay, Mangalam (2016) Twitter Out Loud: connecting people in organisations. In: Proceedings of the 28th Australian Conference on Computer-Human Interaction, pp. 220-223. From: OzCHI 2016: Australasian Computer-Human Interaction Conference, 29 November - 2 December 2016, Launceston, TAS, Australia.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: https://doi.org/10.1145/3010915.3010966
 
12


Abstract

Workplace interactions are vital to foster collaboration, however the levels of such interactions are often less than desired. Ambient awareness of the happenings within an organisation is often used as a lead to informal communication, in the hopes this leads to collaboration. We designed the Twitter Out Loud (TOL) device, a Raspberry Pi (credit card-sized single-board computers) system with a dedicated speaker to read an organisation's tweets out loud. It is hoped that the ambient audio presentation of Twitter feeds will help spark informal conversations among individuals in an organisation, while also helping individuals keep up to date with events within the organisation. We have designed TOL to be placed in a staff common room, where staff already habituate, to enhance an existing practice (having meals) to foster engagement among staff. Initial deployment of TOL showed that it helped initiate conversations among individuals while providing information about events across the organization

Item ID: 46241
Item Type: Conference Item (Presentation)
Keywords: ambient awareness; audio; workplace engagement; Twitter
Date Deposited: 16 Mar 2017 04:32
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0805 Distributed Computing > 080504 Ubiquitous Computing @ 50%
08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems > 080602 Computer-Human Interaction @ 50%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970108 Expanding Knowledge in the Information and Computing Sciences @ 100%
Downloads: Total: 12
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page