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Examining and Promoting Explainable Recommendations for Personal Sensing Technology Acceptance

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Examining and Promoting Explainable Recommendations for Personal Sensing Technology Acceptance. / Newn, Joshua; Kelly, Ryan M.; D'Alfonso, Simon et al.
In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 6, No. 3, 133, 07.09.2022, p. 133:1-133:27.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Newn, J, Kelly, RM, D'Alfonso, S & Lederman, R 2022, 'Examining and Promoting Explainable Recommendations for Personal Sensing Technology Acceptance', Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 6, no. 3, 133, pp. 133:1-133:27. https://doi.org/10.1145/3550297

APA

Newn, J., Kelly, R. M., D'Alfonso, S., & Lederman, R. (2022). Examining and Promoting Explainable Recommendations for Personal Sensing Technology Acceptance. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 6(3), 133:1-133:27. Article 133. https://doi.org/10.1145/3550297

Vancouver

Newn J, Kelly RM, D'Alfonso S, Lederman R. Examining and Promoting Explainable Recommendations for Personal Sensing Technology Acceptance. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2022 Sept 7;6(3):133:1-133:27. 133. doi: 10.1145/3550297

Author

Newn, Joshua ; Kelly, Ryan M. ; D'Alfonso, Simon et al. / Examining and Promoting Explainable Recommendations for Personal Sensing Technology Acceptance. In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2022 ; Vol. 6, No. 3. pp. 133:1-133:27.

Bibtex

@article{456a7355d92248b495266628d1ef4754,
title = "Examining and Promoting Explainable Recommendations for Personal Sensing Technology Acceptance",
abstract = "Personal sensing is a promising approach for enabling the delivery of timely and personalised recommendations to improve mental health and well-being. However, existing research has revealed numerous barriers to personal sensing acceptance. This paper explores the influence of explanations on the acceptability of recommendations based on personal sensing. We conducted a qualitative study using five plausible personal sensing scenarios to elicit prospective users' attitudes towards personal sensing, followed by a reflective interview. Our analysis formed six nuanced design considerations for personal sensing recommendation acceptance: user personalisation, appropriate phrasing, adaptive capability, users' confidence, peer endorsement, and sense of agency. Simultaneously, we found that the availability of an explanation at each personal sensing layer positively influenced the willingness of the participants to accept personal sensing technology. Together, this paper contributes a better understanding of how we can design personal sensing technology to be more acceptable.",
author = "Joshua Newn and Kelly, {Ryan M.} and Simon D'Alfonso and Reeva Lederman",
year = "2022",
month = sep,
day = "7",
doi = "10.1145/3550297",
language = "English",
volume = "6",
pages = "133:1--133:27",
journal = "Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies",
issn = "2474-9567",
publisher = "Association for Computing Machinery (ACM)",
number = "3",

}

RIS

TY - JOUR

T1 - Examining and Promoting Explainable Recommendations for Personal Sensing Technology Acceptance

AU - Newn, Joshua

AU - Kelly, Ryan M.

AU - D'Alfonso, Simon

AU - Lederman, Reeva

PY - 2022/9/7

Y1 - 2022/9/7

N2 - Personal sensing is a promising approach for enabling the delivery of timely and personalised recommendations to improve mental health and well-being. However, existing research has revealed numerous barriers to personal sensing acceptance. This paper explores the influence of explanations on the acceptability of recommendations based on personal sensing. We conducted a qualitative study using five plausible personal sensing scenarios to elicit prospective users' attitudes towards personal sensing, followed by a reflective interview. Our analysis formed six nuanced design considerations for personal sensing recommendation acceptance: user personalisation, appropriate phrasing, adaptive capability, users' confidence, peer endorsement, and sense of agency. Simultaneously, we found that the availability of an explanation at each personal sensing layer positively influenced the willingness of the participants to accept personal sensing technology. Together, this paper contributes a better understanding of how we can design personal sensing technology to be more acceptable.

AB - Personal sensing is a promising approach for enabling the delivery of timely and personalised recommendations to improve mental health and well-being. However, existing research has revealed numerous barriers to personal sensing acceptance. This paper explores the influence of explanations on the acceptability of recommendations based on personal sensing. We conducted a qualitative study using five plausible personal sensing scenarios to elicit prospective users' attitudes towards personal sensing, followed by a reflective interview. Our analysis formed six nuanced design considerations for personal sensing recommendation acceptance: user personalisation, appropriate phrasing, adaptive capability, users' confidence, peer endorsement, and sense of agency. Simultaneously, we found that the availability of an explanation at each personal sensing layer positively influenced the willingness of the participants to accept personal sensing technology. Together, this paper contributes a better understanding of how we can design personal sensing technology to be more acceptable.

U2 - 10.1145/3550297

DO - 10.1145/3550297

M3 - Journal article

VL - 6

SP - 133:1-133:27

JO - Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

JF - Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

SN - 2474-9567

IS - 3

M1 - 133

ER -