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Might as Well Be on Mars: Insights on the Extraterrestrial Applicability of Interaction Design Frameworks from Earth

Published: 11 May 2024 Publication History

Abstract

As humanity expands its reach into the Cosmos, the imagination-sparkling prospect of colonizing other planets, such as Mars, becomes increasingly tangible. However, establishing livable environments on Mars necessitates robust and efficient computer systems, and thus design knowledge for highly usable interactions that match users’ abilities under the unique challenges posed by other planets’ environments. In this work, we connect to current interaction design frameworks, such as Ability-based Design, Reality-based Interaction, and Sensorimotor Realities, to assess their suitability beyond Earth. Furthermore, we present insights from the user experience of interactive systems on Mars through observations collected during a mission at the Mars Desert Research Station. We use our findings to propose future research on interaction frameworks with extraterrestrial and interplanetary applicability.

Supplemental Material

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cover image ACM Conferences
CHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
May 2024
4761 pages
ISBN:9798400703317
DOI:10.1145/3613905
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 11 May 2024

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Author Tags

  1. Extraterestrial
  2. Mars mission
  3. design frameworks
  4. interaction design
  5. user interface design

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  • Work in progress
  • Research
  • Refereed limited

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  • F.S.R. Fund («Fonds Spéciaux de Recherche», Belgium)
  • Fonds de la Recherche Scientifique-FNRS
  • European Innovation Council - European Union - Symbiotik

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CHI '24

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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ACM CHI Conference on Human Factors in Computing Systems
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