Collocated Distance: A Fundamental Challenge for the Design of Hybrid Work Technologies
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
After the pandemic, it is urgently important to explore the special challenges which arise with hybrid work. Through cross-case analyses of published papers, we propose collocated distance as a design challenge uniquely relevant for hybrid cooperative technologies. We identify and conceptualize collocated distance as a design challenge that arises in hybrid work situations, where at least three actors are mutually dependent in their work while being located within fewer contexts than the number of actors. Collocated distance reminds us that when designing hybrid technologies, we must not only focus on creating technologies that support the work across geographical locations but equally pay attention to the relations and possible disconnections which exist locally between collocated actors. When designing cooperative technologies supporting distributed work, often focus is on the boundaries between geographical contexts - however, in hybrid work, we must not forget to pay attention to the collocated boundaries within the same context.
Original language | English |
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Title of host publication | CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems |
Number of pages | 16 |
Publisher | Association for Computing Machinery, Inc. |
Publication date | 2023 |
Article number | 612 |
ISBN (Electronic) | 9781450394215 |
DOIs | |
Publication status | Published - 2023 |
Event | 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Germany Duration: 23 Apr 2023 → 28 Apr 2023 |
Conference
Conference | 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 |
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Land | Germany |
By | Hamburg |
Periode | 23/04/2023 → 28/04/2023 |
Sponsor | ACM SIGCHI, Apple, Bloomberg, Google, NSF, Siemens |
Bibliographical note
Publisher Copyright:
© 2023 ACM.
- cooperative work, distributed work, hybrid work
Research areas
ID: 382994910