Workshop on amplification and augmentation of human perception

Albrecht Schmidt, Stefan Schneegass, Kai Steven Kunze, Jun Rekimoto, Woontack Woo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Technical capabilities increase steadily while human evolution is slow. Technical sensors improve while human senses remain largely the same. Many tasks are becoming much easier when our perception is augmented with additional information. In this workshop, we want to bring researchers together that are working on the augmentation and amplification of human perception. For many augmented reality (AR) use cases the fundamental design concept is to improve human perceptual abilities. This area, becoming more and more central to human-computer-, human-data, and human-environment interaction is so far not well researched and we lack conceptual foundations, theoretical models, and best practice examples. This workshop will be a forum to jointly catalog the state of the art and to discuss future directions for amplifying and augmenting human perception in a human centered way.

Original languageEnglish
Title of host publicationCHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
Subtitle of host publicationExplore, Innovate, Inspire
PublisherAssociation for Computing Machinery
Pages668-673
Number of pages6
VolumePart F127655
ISBN (Electronic)9781450346566
DOIs
Publication statusPublished - 2017 May 6
Event2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017 - Denver, United States
Duration: 2017 May 62017 May 11

Other

Other2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017
CountryUnited States
CityDenver
Period17/5/617/5/11

Fingerprint

Augmented reality
Amplification
Sensors

Keywords

  • Amplifying perception
  • Augmented human
  • Augmented reality interaction
  • Augmenting perception

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Schmidt, A., Schneegass, S., Kunze, K. S., Rekimoto, J., & Woo, W. (2017). Workshop on amplification and augmentation of human perception. In CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire (Vol. Part F127655, pp. 668-673). Association for Computing Machinery. https://doi.org/10.1145/3027063.3027088

Workshop on amplification and augmentation of human perception. / Schmidt, Albrecht; Schneegass, Stefan; Kunze, Kai Steven; Rekimoto, Jun; Woo, Woontack.

CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Vol. Part F127655 Association for Computing Machinery, 2017. p. 668-673.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Schmidt, A, Schneegass, S, Kunze, KS, Rekimoto, J & Woo, W 2017, Workshop on amplification and augmentation of human perception. in CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. vol. Part F127655, Association for Computing Machinery, pp. 668-673, 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017, Denver, United States, 17/5/6. https://doi.org/10.1145/3027063.3027088
Schmidt A, Schneegass S, Kunze KS, Rekimoto J, Woo W. Workshop on amplification and augmentation of human perception. In CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Vol. Part F127655. Association for Computing Machinery. 2017. p. 668-673 https://doi.org/10.1145/3027063.3027088
Schmidt, Albrecht ; Schneegass, Stefan ; Kunze, Kai Steven ; Rekimoto, Jun ; Woo, Woontack. / Workshop on amplification and augmentation of human perception. CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Vol. Part F127655 Association for Computing Machinery, 2017. pp. 668-673
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