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Robot Assistants for Perimetry: A Study of Patient Experience and Performance.
Transl Vis Sci Technol 2019; 8(3):59TV

Abstract

Purpose

People enjoy supervision during visual field assessment, although resource demands often make this difficult. We evaluated outcomes and subjective experience of methods of receiving feedback during perimetry, with specific goals to compare a humanoid robot to a computerized voice in participants with minimal prior perimetric experience. Human feedback and no feedback also were compared.

Methods

Twenty-two younger (aged 21-31 years) and 18 older (aged 52-76 years) adults participated. Visual field tests were conducted using an Octopus 900, controlled with the Open Perimetry Interface. Participants underwent four tests with the following feedback conditions: (1) human, (2) humanoid robot, (3) computer speaker, and (4) no feedback, in random order. Feedback rules for the speaker and robot were identical, with the difference being a social interaction with the robot before the test. Quantitative perimetric performance compared mean sensitivity (dB), fixation losses, and false-positives. Subjective experience was collected via survey.

Results

There was no significant effect of feedback type on the quantitative measures. For younger adults, the human and robot were preferred to the computer speaker (P < 0.01). For older adults, the experience rating was similar for the speaker and robot. No feedback was the least preferred option of 77% younger and 50% older adults.

Conclusions

During perimetry, a social robot was preferred to a computer speaker providing the same feedback, despite the robot not being visible during the test. Making visual field testing more enjoyable for patients and operators may improve compliance and attitude to perimetry, leading to improved clinical outcomes.

Translational Relevance

Our data suggest that humanoid robots can replace some aspects of human interaction during perimetry and are preferable to receiving no human feedback.

Authors+Show Affiliations

Department of Optometry and Vision Sciences, The University of Melbourne, Parkville, VIC, Australia.Department of Optometry and Vision Sciences, The University of Melbourne, Parkville, VIC, Australia. Brain and Cognition Department, KU Leuven, Leuven, Belgium.Department of Optometry and Vision Sciences, The University of Melbourne, Parkville, VIC, Australia.Department of Optometry and Vision Sciences, The University of Melbourne, Parkville, VIC, Australia.Department of Optometry and Vision Sciences, The University of Melbourne, Parkville, VIC, Australia.Department of Optometry and Vision Sciences, The University of Melbourne, Parkville, VIC, Australia.Department of Optometry and Vision Sciences, The University of Melbourne, Parkville, VIC, Australia.Department of Optometry and Vision Sciences, The University of Melbourne, Parkville, VIC, Australia.School of Computing and Information Systems, The University of Melbourne, Parkville, VIC, Australia.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31293814

Citation

McKendrick, Allison M., et al. "Robot Assistants for Perimetry: a Study of Patient Experience and Performance." Translational Vision Science & Technology, vol. 8, no. 3, 2019, p. 59.
McKendrick AM, Zeman A, Liu P, et al. Robot Assistants for Perimetry: A Study of Patient Experience and Performance. Transl Vis Sci Technol. 2019;8(3):59.
McKendrick, A. M., Zeman, A., Liu, P., Aktepe, D., Aden, I., Bhagat, D., ... Turpin, A. (2019). Robot Assistants for Perimetry: A Study of Patient Experience and Performance. Translational Vision Science & Technology, 8(3), p. 59. doi:10.1167/tvst.8.3.59.
McKendrick AM, et al. Robot Assistants for Perimetry: a Study of Patient Experience and Performance. Transl Vis Sci Technol. 2019;8(3):59. PubMed PMID: 31293814.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Robot Assistants for Perimetry: A Study of Patient Experience and Performance. AU - McKendrick,Allison M, AU - Zeman,Astrid, AU - Liu,Ping, AU - Aktepe,Dilek, AU - Aden,Illham, AU - Bhagat,Daisy, AU - Do,Kieren, AU - Nguyen,Huy D, AU - Turpin,Andrew, Y1 - 2019/06/28/ PY - 2018/09/17/received PY - 2019/05/06/accepted PY - 2019/7/12/entrez PY - 2019/7/12/pubmed PY - 2019/7/12/medline KW - feedback KW - healthcare robot KW - perimetry KW - robot KW - social robot SP - 59 EP - 59 JF - Translational vision science & technology JO - Transl Vis Sci Technol VL - 8 IS - 3 N2 - Purpose: People enjoy supervision during visual field assessment, although resource demands often make this difficult. We evaluated outcomes and subjective experience of methods of receiving feedback during perimetry, with specific goals to compare a humanoid robot to a computerized voice in participants with minimal prior perimetric experience. Human feedback and no feedback also were compared. Methods: Twenty-two younger (aged 21-31 years) and 18 older (aged 52-76 years) adults participated. Visual field tests were conducted using an Octopus 900, controlled with the Open Perimetry Interface. Participants underwent four tests with the following feedback conditions: (1) human, (2) humanoid robot, (3) computer speaker, and (4) no feedback, in random order. Feedback rules for the speaker and robot were identical, with the difference being a social interaction with the robot before the test. Quantitative perimetric performance compared mean sensitivity (dB), fixation losses, and false-positives. Subjective experience was collected via survey. Results: There was no significant effect of feedback type on the quantitative measures. For younger adults, the human and robot were preferred to the computer speaker (P < 0.01). For older adults, the experience rating was similar for the speaker and robot. No feedback was the least preferred option of 77% younger and 50% older adults. Conclusions: During perimetry, a social robot was preferred to a computer speaker providing the same feedback, despite the robot not being visible during the test. Making visual field testing more enjoyable for patients and operators may improve compliance and attitude to perimetry, leading to improved clinical outcomes. Translational Relevance: Our data suggest that humanoid robots can replace some aspects of human interaction during perimetry and are preferable to receiving no human feedback. SN - 2164-2591 UR - https://www.unboundmedicine.com/medline/citation/31293814/Robot_Assistants_for_Perimetry:_A_Study_of_Patient_Experience_and_Performance L2 - https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/31293814/ DB - PRIME DP - Unbound Medicine ER -