research-article

Examining and Promoting Explainable Recommendations for Personal Sensing Technology Acceptance

Authors:

Simon D'Alfonso,

Reeva LedermanAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 6, Issue 3

Article No.: 133, Pages 1 - 27

https://doi.org/10.1145/3550297

Published: 07 September 2022 Publication History

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.

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Cited By

Gjoreski MHassan TVered MHouben SKopp SKostakos VKay JHoang T(2024)XAI for U: Explainable AI for Ubiquitous, Pervasive and Wearable ComputingCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3677571(992-995)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675094.3677571
Kianpisheh MMariakakis ATruong K(2024)exHARProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435008:1(1-30)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643500
Ley-Flores JVidal LSegura ESingh ABevilacqua FCuadrado FDurán JValdiviezo-Hernández OSánchez-Martin MTajadura-Jiménez A(2024)Co-Designing Sensory Feedback for Wearables to Support Physical Activity through Body SensationsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36434998:1(1-31)Online publication date: 6-Mar-2024
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Index Terms

Examining and Promoting Explainable Recommendations for Personal Sensing Technology Acceptance
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User studies
  2. Ubiquitous and mobile computing
    1. Empirical studies in ubiquitous and mobile computing

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 6, Issue 3

September 2022

1612 pages

EISSN:2474-9567

DOI:10.1145/3563014

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Published: 07 September 2022

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Cited By

Gjoreski MHassan TVered MHouben SKopp SKostakos VKay JHoang T(2024)XAI for U: Explainable AI for Ubiquitous, Pervasive and Wearable ComputingCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3677571(992-995)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675094.3677571
Kianpisheh MMariakakis ATruong K(2024)exHARProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435008:1(1-30)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643500
Ley-Flores JVidal LSegura ESingh ABevilacqua FCuadrado FDurán JValdiviezo-Hernández OSánchez-Martin MTajadura-Jiménez A(2024)Co-Designing Sensory Feedback for Wearables to Support Physical Activity through Body SensationsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36434998:1(1-31)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643499
Figueiredo MAnkrah EPowell JEpstein DChen Y(2024)Powered by AIProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314147:4(1-24)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631414
Ni XXiong FPan SWu JWang LChen H(2023)Community Preserving Social Recommendation with Cyclic Transfer LearningACM Transactions on Information Systems10.1145/363111542:3(1-36)Online publication date: 29-Dec-2023
https://dl.acm.org/doi/10.1145/3631115
Das Swain VGao LWood WMatli SAbowd GDe Choudhury M(2023)Algorithmic Power or Punishment: Information Worker Perspectives on Passive Sensing Enabled AI Phenotyping of Performance and WellbeingProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581376(1-17)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581376

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