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Exploring tilting methods for typing under water

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Abstract

Underwater environments are still providing significant challenges for diver communication and interaction. Smartphones and tablets have the potential to provide great assistance for divers under water and even allow them to utilize augmented and mixed reality, but the housing solutions limit their capabilities. In particular, interaction with them cannot harness a touch screen medium. This paper presents a novel way of providing textual input in underwater environments. The concept is utilizing orientation sensors allowing for tilting a smartphone to input textual information. Three different titling configurations of keyboards were implemented and evaluated on land and in a swimming pool in a user study that involved 17 healthy volunteers and assessed their performance in two different conditions reflecting two typical diving poses. Results clearly demonstrate the benefit of this technique and suggest more effective configurations. A following discussion derives general recommendations for implementing similar methods that use tilting to interact with devices under water.

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References

  1. Bellarbi A, Domingues C, Otmane S, Benbelkacem S, Dinis A (2013) Augmented reality for underwater activities with the use of the DOLPHYN. In: 2013 10th IEEE international conference on networking, sensing and control (ICNSC). IEEE, pp 409–412. https://doi.org/10.1109/ICNSC.2013.6548773

  2. Castellucci SJ, MacKenzie IS, Misra M, Pandey L, Arif AS (2019) TiltWriter: design and evaluation of a no-touch tilt-based text entry method for handheld devices. In: Proceedings of the 18th international conference on mobile and ubiquitous multimedia, MUM ’19. https://doi.org/10.1145/3365610.3365629. Association for Computing Machinery, New York

  3. Čejka J, Zsíros A, Liarokapis F (2020) A hybrid augmented reality guide for underwater cultural heritage sites. Personal and Ubiquitous Computing. https://doi.org/10.1007/s00779-019-01354-6

  4. Chiarella D, Bibuli M, Bruzzone G, Caccia M, Ranieri A, Zereik E, Marconi L, Cutugno P (2018) A novel gesture-based language for underwater human-robot interaction. J Marine Sci Eng 6(3):1–19. https://doi.org/10.3390/jmse6030091. https://www.mdpi.com/2077-1312/6/3/91

    Article  Google Scholar 

  5. Council RST (2019) Minimum course content for common hand signals for scuba diving. Retrieved 15 Aug 2019 from http://wrstc.com/downloads/12%20-%20Common%20Hand%20Signals.pdf

  6. DeMarco KJ, West ME, Howard AM (2014) Underwater human-robot communication: a case study with human divers. In: 2014 IEEE international conference on systems, man, and cybernetics (SMC). IEEE, pp 3738–3743. https://doi.org/10.1109/SMC.2014.6974512

  7. Easydive: Diveshot (2019). Retrieved September 8, 2019 from https://www.easydive.it/en/underwater-housing/smartphone/diveshot.384.html

  8. Felemban E, Shaikh F, Qureshi U, Sheikh A, Qaisar S (2015) Underwater sensor network applications: a comprehensive survey. International Journal of Distributed Sensor Networks. https://doi.org/10.1155/2015/896832. https://journals.sagepub.com/doi/full/10.1155/2015/896832

  9. Fitton D, MacKenzie IS, Read JC, Horton M (2013) Exploring tilt-based text input for mobile devices with teenagers. In: Proceedings of the 27th international BCS human computer interaction conference, BCS-HCI ’13. British Computer Society, Swinton, pp 25:1–25:6. http://dl.acm.org/citation.cfm?id=2578048.2578082

  10. Gong J, Xu Z, Guo Q, Seyed T, Chen XA, Bi X, Yang XD (2018) WrisText: one-handed text entry on smartwatch using wrist gestures. In: Proceedings of the 2018 CHI conference on human factors in computing systems, CHI ’18. ACM, New York, pp 181:1–181:14. https://doi.org/10.1145/3173574.3173755

  11. Gupta A, Ji C, Yeo HS, Quigley A, Vogel D (2019) RotoSwype: word-gesture typing using a ring. In: Proceedings of the 2019 CHI conference on human factors in computing systems, CHI ’19. ACM, New York, pp 1–12. https://doi.org/10.1145/3290605.3300244

  12. Hollien H, Rothman H (2013) Underwater research, chap. Diver Communication, pp. 1–78. Elsevier

  13. Hong J, Heo S, Isokoski P, Lee G (2015) SplitBoard: a simple split soft keyboard for wristwatch-sized touch screens. In: Proceedings of the 33rd annual ACM conference on human factors in computing systems, CHI ’15. ACM, New York, pp 1233–1236. https://doi.org/10.1145/2702123.2702273

  14. iDive (2019) iDive housing. Retrieved 15 August 2019 from http://idivehousing.com/

  15. Jones E, Alexander J, Andreou A, Irani P, Subramanian S (2010) GesText: accelerometer-based gestural text-entry systems. In: Proceedings of the SIGCHI conference on human factors in computing systems, CHI ’10. ACM, New York, pp 2173–2182. https://doi.org/10.1145/1753326.1753655

  16. Ljubic S, Kukec M, Glavinic V (2013) Tilt-based support for multimodal text entry on touchscreen smartphones: Using pitch and roll. In: Proceedings of the 7th international conference on universal access in human-computer interaction: applications and services for quality of life - volume Part III, UAHCI’13. Springer, Berlin, pp 651–660. https://doi.org/10.1007/978-3-642-39194-1_75

  17. MacKenzie S (2002) Mobile text entry using three keys. In: Proceedings of the second nordic conference on human-computer interaction, NordiCHI ’02. Association for Computing Machinery, New York, pp 27–34. https://doi.org/10.1145/572020.572025

  18. Menix M, Misković N, Vukić Z (2014) Interpretation of divers’ symbolic language by using hidden Markov models. In: 2014 37th international convention on information and communication technology, electronics and microelectronics (MIPRO). IEEE, pp 976–981. https://doi.org/10.1109/MIPRO.2014.6859710

  19. Mital MEG, Villaruel HV, Dadios EP (2018) Neural network implementation of divers sign language recognition based on eight Hu-moment parameters. In: 2018 2nd international conference on informatics and computational sciences (ICICos), pp 1–6. https://doi.org/10.1109/ICICOS.2018.8621642

  20. Oney S, Harrison C, Ogan A, Wiese J (2013) ZoomBoard: a diminutive qwerty soft keyboard using iterative zooming for ultra-small devices. In: Proceedings of the SIGCHI conference on human factors in computing systems, CHI ’13. ACM, New York, pp 2799–2802. https://doi.org/10.1145/2470654.2481387

  21. Oppermann L, Blum L, Shekow M (2016) Playing on AREEF: evaluation of an underwater augmented reality game for kids. In: Proceedings of the 18th international conference on human-computer interaction with mobile devices and services, MobileHCI ’16. ACM, New York, pp 330–340. https://doi.org/10.1145/2935334.2935368

  22. Partridge K, Chatterjee S, Sazawal V, Borriello G, Want R (2002) TiltType: accelerometer-supported text entry for very small devices. In: Proceedings of the 15th annual ACM symposium on user interface software and technology, UIST ’02. ACM, New York, pp 201–204. https://doi.org/10.1145/571985.572013

  23. Patrón P., Petillot YR (2008) The underwater environment: a challenge for planning. In: Proceedings of the 27th workshop of the uk planning and scheduling special interest group

  24. Rahman M, Gustafson S, Irani P, Subramanian S (2009) Tilt techniques: investigating the dexterity of wrist-based input. In: Proceedings of the SIGCHI conference on human factors in computing systems, CHI ’09. ACM, New York, pp 1943–1952. https://doi.org/10.1145/1518701.1518997

  25. Rekimoto J (1996) Tilting operations for small screen interfaces. In: Proceedings of the 9th annual ACM symposium on user interface software and technology, UIST ’96. ACM, New York, pp 167–168. ACM, New York, pp 167–168. https://doi.org/10.1145/237091.237115

  26. Schechner Y, Karpel N (2004) Clear underwater vision. In: Proceedings of the 2004 IEEE computer society conference on computer vision and pattern recognition. IEEE. https://doi.org/10.1109/CVPR.2004.1315078

  27. Tcha-Tokey K, Christmann O, Loup-Escande E, Richir S (2016) Proposition and validation of a questionnaire to measure the user experience in immersive virtual environments. The International Journal of Virtual Reality 16:33–48

    Article  Google Scholar 

  28. Teather RJ, MacKenzie IS (2014) Position vs. velocity control for tilt-based interaction. In: Proceedings of graphics interface 2014, GI 2014. Canadian Information Processing Society, Toronto, pp 51–58

  29. Walmsley WS, Snelgrove WX, Truong KN (2014) Disambiguation of imprecise input with one-dimensional rotational text entry. ACM Trans Comput-Hum Interact 21(1):4:1–4:40. https://doi.org/10.1145/2542544

    Article  Google Scholar 

  30. Wigdor D, Balakrishnan R (2003) TiltText: using tilt for text input to mobile phones. In: Proceedings of the 16th annual ACM symposium on user interface software and technology, UIST ’03. ACM, New York, pp 81–90. https://doi.org/10.1145/964696.964705

  31. Yeo HS, Phang XS, Castellucci SJ, Kristensson PO, Quigley A (2017) Investigating tilt-based gesture keyboard entry for single-handed text entry on large devices. In: Proceedings of the 2017 CHI conference on human factors in computing systems, CHI ’17. ACM, New York, pp 4194–4202. https://doi.org/10.1145/3025453.3025520

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Acknowledgements

We would like to thank all participants involved in our user study for their time and patience.

Funding

This research is a part of the i-MareCulture project (Advanced VR, iMmersive Serious Games and Augmented REality as Tools to Raise Awareness and Access to European Underwater CULTURal heritagE, Digital Heritage) that has received funding from the European Unions Horizon 2020 research and innovation program under Grant Agreement No. 727153. This research was also partially supported by the project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 739578 (RISE Call: H2020-WIDESPREAD-01-2016-2017-TeamingPhase2) and the Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development.

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Authors and Affiliations

Authors

Contributions

Conceptualization, J.Č., J.Ch., F.L.; Data curation, J.Č., J.Ch.; Formal analysis, J.Č.; Funding acquisition, F.L.; Investigation, J.Č.; Methodology, J.Č.; Project administration, F.L.; Resources, J.Č.; Software, J.Č.; Supervision, F.L.; Validation, J.Č.; Visualization, J.Č.; Writing – original draft, J.Č.; Writing – review & editing, J.Č., J.Ch., F.L.;

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Correspondence to Jan Čejka.

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Data of the tests and user feedback are attached to the manuscript as supplementary materials in electronic form.

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Čejka, J., Chmelík, J. & Liarokapis, F. Exploring tilting methods for typing under water. Multimed Tools Appl 80, 31085–31103 (2021). https://doi.org/10.1007/s11042-020-09305-7

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  • DOI: https://doi.org/10.1007/s11042-020-09305-7

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