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Effect of Feedback on Users’ Immediate Emotions: Analysis of Facial Expressions during a Simulated Target Detection Task

Published: 14 October 2019 Publication History

Abstract

Safety-critical systems (e.g., UAV systems) often incorporate warning modules that alert users regarding imminent hazards (e.g., system failures). However, these warning systems are often not perfect, and trigger false alarms, which can lead to negative emotions and affect subsequent system usage. Although various feedback mechanisms have been studied in the past to counter the possible negative effects of system errors, the effect of such feedback mechanisms and system errors on users’ immediate emotions and task performance is not clear. To investigate the influence of affective feedback on participants’ immediate emotions, we designed a 2 (warning reliability: high/low) × 2 (feedback: present/absent) between-group study where participants interacted with a simulated UAV system to identify and neutralize enemy vehicles under time constraint. Task performance along with participants’ facial expressions were analyzed. Results indicated that giving feedback decreased fear emotions during the task whereas warning increased frustration for high reliability groups compared to low reliability groups. Finally, feedback was found not to affect task performance.

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Cited By

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  • (2023)The Mediating Effect of Emotions on Trust in the Context of Automated System UsageIEEE Transactions on Affective Computing10.1109/TAFFC.2021.309488314:2(1572-1585)Online publication date: 1-Apr-2023
  • (2022)Human vs. Automation: Which One Will You Trust More If You Are About to Lose Money?International Journal of Human–Computer Interaction10.1080/10447318.2022.207677239:12(2420-2435)Online publication date: 2-Jun-2022
  • (2021)Do Integral Emotions Affect Trust? The Mediating Effect of Emotions on Trust in the Context of Human-Agent InteractionProceedings of the 2021 ACM Designing Interactive Systems Conference10.1145/3461778.3461997(1492-1503)Online publication date: 28-Jun-2021
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cover image ACM Other conferences
ICMI '19: 2019 International Conference on Multimodal Interaction
October 2019
601 pages
ISBN:9781450368605
DOI:10.1145/3340555
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 2019

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Author Tags

  1. Affective Computing
  2. Emotion
  3. Facial Expression
  4. Safety-critical Systems
  5. Warning

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Overall Acceptance Rate 453 of 1,080 submissions, 42%

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Cited By

View all
  • (2023)The Mediating Effect of Emotions on Trust in the Context of Automated System UsageIEEE Transactions on Affective Computing10.1109/TAFFC.2021.309488314:2(1572-1585)Online publication date: 1-Apr-2023
  • (2022)Human vs. Automation: Which One Will You Trust More If You Are About to Lose Money?International Journal of Human–Computer Interaction10.1080/10447318.2022.207677239:12(2420-2435)Online publication date: 2-Jun-2022
  • (2021)Do Integral Emotions Affect Trust? The Mediating Effect of Emotions on Trust in the Context of Human-Agent InteractionProceedings of the 2021 ACM Designing Interactive Systems Conference10.1145/3461778.3461997(1492-1503)Online publication date: 28-Jun-2021
  • (2021)Facing it: assessing the immediate emotional impacts of calorie labelling using automatic facial codingBehavioural Public Policy10.1017/bpp.2021.32(1-18)Online publication date: 11-Nov-2021

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