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Mood self-assessment on smartphones

Published: 14 October 2015 Publication History

Abstract

Mood has been systematically studied by psychologists for over 100 years. As mood is a subjective feeling, any study of mood must take into account and accurately capture user's perception of an experienced feeling. In last 40 years, a number of pen-and-paper mood self-assessment scales have been proposed. Typically, a person is asked to separately rate various dimensions of the experienced feeling (e.g., pleasure and arousal) or mood items (interested, agitated, excited, etc.) on numeric scales (e.g., between 0 and 10). These partial ratings are then combined into an overall mood rating (or into its positive and negative affect). Pen-and-paper mood scales are used in basic research on mood and in clinical practice. Mobile technology makes it possible to extend mood self-assessment from lab to real life rather, collecting mood data frequently, over long time, in variety of life situations. With these motivations, we developed mobile versions of validated pen-and-paper scales for mood self-assessment to facilitate accurate in-situ mood self-assessment in real-life situations by smartphone users. The novelty of our Mobile Mood Scales (MMS) app is the use of visual effects such as color, changing brightness, animation and photos. We believe these mobile-technology-enabled aids involving user's senses can make mood self-assessment more intuitive and engaging for users than pen-and-paper mood scales that rely on linguistic terms and numerical rating. We built a customization layer that allows a doctor to generate a required mood app by selecting the mood scale required (e.g., PANAS or SPANE) as well as specific optional features such as the granularity of a rating scale (e.g., 5-point scale with radio buttons) and visual effects. In an evaluation survey, 61% of 48 participants found special features such as use of color, brightness and photos helpful in reflecting on own mood. 83% of 48 participants preferred mobile mood scales over pen-and-paper scales. We received encouraging feedback from the designers of original pen-and-paper mood scales. We envision applications of MMS in psychological studies of mood, in monitoring the efficacy of medical interventions and medication, as a component for mHealth apps where it is important to know fluctuations of patient's mood.

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Cited By

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  • (2023)Mood Measurement on SmartphonesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35808647:1(1-35)Online publication date: 28-Mar-2023
  • (2023)A Review on Mood Assessment Using SmartphonesHuman-Computer Interaction – INTERACT 202310.1007/978-3-031-42283-6_22(385-413)Online publication date: 25-Aug-2023
  • (2022)Detecting Mental Health Behaviors Using Mobile Interactions: Exploratory Study Focusing on Binge EatingJMIR Mental Health10.2196/321469:4(e32146)Online publication date: 25-Apr-2022
  • Show More Cited By

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cover image ACM Other conferences
WH '15: Proceedings of the conference on Wireless Health
October 2015
157 pages
ISBN:9781450338516
DOI:10.1145/2811780
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 14 October 2015

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Author Tags

  1. evaluation
  2. experience sampling
  3. mobile technologies
  4. mood scales
  5. mood self-assessment

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  • Research-article

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WH '15
WH '15: Wireless Health 2015 Conference
October 14 - 16, 2015
Maryland, Bethesda

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WH '15 Paper Acceptance Rate 28 of 106 submissions, 26%;
Overall Acceptance Rate 35 of 139 submissions, 25%

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Cited By

View all
  • (2023)Mood Measurement on SmartphonesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35808647:1(1-35)Online publication date: 28-Mar-2023
  • (2023)A Review on Mood Assessment Using SmartphonesHuman-Computer Interaction – INTERACT 202310.1007/978-3-031-42283-6_22(385-413)Online publication date: 25-Aug-2023
  • (2022)Detecting Mental Health Behaviors Using Mobile Interactions: Exploratory Study Focusing on Binge EatingJMIR Mental Health10.2196/321469:4(e32146)Online publication date: 25-Apr-2022
  • (2021)Understanding People’s Use of and Perspectives on Mood Tracking Apps: An Interview Study (Preprint)JMIR Mental Health10.2196/29368Online publication date: 3-Apr-2021
  • (2020)Mobile Mood TrackingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34322074:4(1-30)Online publication date: 18-Dec-2020
  • (2017)Timing rather than user traits mediates mood sampling on smartphonesBMC Research Notes10.1186/s13104-017-2808-110:1Online publication date: 16-Sep-2017

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