Understanding User Needs for Task Guidance Systems Through the Lens of Cooking

Author:

Barquero Alexander1ORCID,Calvo Rodrigo Luis1ORCID,Delgado Daniel Alexander1ORCID,Wang Isaac2ORCID,Anthony Lisa1ORCID,Ruiz Jaime1ORCID

Affiliation:

1. Department of CISE, University of Florida, United States

2. Department of Computer Science, James Madison University, United States

Funder

Defense Advanced Research Projects Agency

Publisher

ACM

Reference49 articles.

1. Yongsheng An, Yu Cao, Jingjing Chen, Chong-Wah Ngo, Jia Jia, Huanbo Luan, and Tat-Seng Chua. 2017. PIC2DISH: A Customized Cooking Assistant System. In Proceedings of the 25th ACM International Conference on Multimedia (Mountain View, California, USA) (MM ’17). Association for Computing Machinery, New York, NY, USA, 1269–1273. https://doi.org/10.1145/3123266.3126490

2. Bernhard Anzengruber-Tanase, Georgios Sopidis, Michael Haslgrübler, and Alois Ferscha. 2022. Determining Best Hardware, Software and Data Structures for Worker Guidance during a Complex Assembly Task. In Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments (Corfu, Greece) (PETRA ’22). Association for Computing Machinery, New York, NY, USA, 63–72. https://doi.org/10.1145/3529190.3529200

3. Hugh Beyer and Karen Holtzblatt. 1999. Contextual design. interactions 6, 1 (1999), 32–42.

4. What Is a Recipe?

5. Alisa Burova, John Mäkelä, Jaakko Hakulinen, Tuuli Keskinen, Hanna Heinonen, Sanni Siltanen, and Markku Turunen. 2020. Utilizing VR and Gaze Tracking to Develop AR Solutions for Industrial Maintenance. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (, Honolulu, HI, USA,) (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376405

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