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Towards accurate non-intrusive recollection of stress levels using mobile sensing and contextual recall

Published: 20 May 2014 Publication History

Abstract

Existing user input sampling methods used for stress-related psychotherapy are plagued with problems of low recall accuracy and high intrusiveness. In this paper, we propose a contextual recall-based self-report method using mobile sensing technology that captures contextual cues including location, activity, and environmental acoustics to aid accurate recollection of stress levels. We conducted a controlled study with 36 participants. Our experimental results suggest that contextual recall outperforms recall-based self-report method by both increasing the recall accuracy and minimizing intrusiveness to participants at the same time. Moreover, we quantified the contribution of each individual contextual cue in recollecting stress levels. We found that although participants perceived all of the contextual cues to be useful, in reality, not all the contextual cues are weighted equally during the recollection process.

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Cited By

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  • (2023)Uncovering Personal Histories: A Technology-Mediated Approach to Eliciting Reflection on Identity TransitionsACM Transactions on Computer-Human Interaction10.1145/350400430:2(1-28)Online publication date: 17-Mar-2023
  • (2022)You Are Not AloneProceedings of the ACM on Human-Computer Interaction10.1145/35556126:CSCW2(1-30)Online publication date: 11-Nov-2022
  • (2019)Towards Low-burden In-situ Self-reportingCompanion Publication of the 2019 on Designing Interactive Systems Conference 2019 Companion10.1145/3301019.3323905(337-346)Online publication date: 18-Jun-2019
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  1. Towards accurate non-intrusive recollection of stress levels using mobile sensing and contextual recall

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      PervasiveHealth '14: Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare
      May 2014
      459 pages
      ISBN:9781631900112

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      ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)

      Brussels, Belgium

      Publication History

      Published: 20 May 2014

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      Author Tags

      1. EMA
      2. contextual recall
      3. mobile health
      4. stress sensing

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      Overall Acceptance Rate 55 of 116 submissions, 47%

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      View all
      • (2023)Uncovering Personal Histories: A Technology-Mediated Approach to Eliciting Reflection on Identity TransitionsACM Transactions on Computer-Human Interaction10.1145/350400430:2(1-28)Online publication date: 17-Mar-2023
      • (2022)You Are Not AloneProceedings of the ACM on Human-Computer Interaction10.1145/35556126:CSCW2(1-30)Online publication date: 11-Nov-2022
      • (2019)Towards Low-burden In-situ Self-reportingCompanion Publication of the 2019 on Designing Interactive Systems Conference 2019 Companion10.1145/3301019.3323905(337-346)Online publication date: 18-Jun-2019
      • (2018)ExtraSensory AppProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3174128(1-12)Online publication date: 21-Apr-2018
      • (2016)PREVENTER, a Selection Mechanism for Just-in-Time Preventive InterventionsIEEE Transactions on Affective Computing10.1109/TAFFC.2015.24900627:3(243-257)Online publication date: 1-Jul-2016
      • (2015)cStressProceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2750858.2807526(493-504)Online publication date: 7-Sep-2015

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