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An Emotion Recognition System for monitoring Shopping Experience

Published: 26 June 2018 Publication History

Abstract

The present work introduces an emotional tracking system to monitor Shopping Experience at different touchpoints in a store, based on the elaboration of the information extracted from biometric data and facial expressions. Preliminary tests suggest that the proposed system can be effectively used in a retail context.

References

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Pine, J.B. and Gilmore J.B., 1999, "The Experience Economy," Harvard Business School Press, Boston.
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Verhoef, P.C., Lemon, K.N., et al., 2009, "Customer experience creation: Determinants, dynamics and management strategies," J of retailing, Vol.85, No.1, pp. 31--41.
[4]
Bailenson, Jeremy N., et al., 2008, "Real-time classification of evoked emotions using facial feature tracking and physiological responses," International journal of human-computer studies, Vol. 66, No. 5, pp. 303--317.
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Borth, D., Ji, R., Chen, T., Breuel, T., and Chang, S. F., 2013, "Large-scale visual sentiment ontology and detectors using adjective noun pairs, " In Proceedings of the 21st ACM international conference on Multimedia, pp. 223--232
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Affdex, Retrieved February 09, 2017, from http://www.affectiva.com/solutions/affdexù
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Ekman, P., and Keltner, D., 1970, "Universal facial expressions of emotion," Calif. Mental Health Res. Digest, Vol.8, No.4, pp. 151--158.
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Watson Developer Cloud, Retr. February 09, 2017, from https://www.ibm.com/watson/developercloud/doc/toneanalyzer/science.html
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AudioProfiling, Retr. February 09, 2017 from http://www.audioprofiling.com
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Quintana, Daniel S., et al., 2012, "Heart rate variability is associated with emotion recognition: direct evidence for a relationship between the autonomic nervous system and social cognition," Int J Psychophysiol, Vol.86, No.2, pp. 168--172.
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Cited By

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  • (2024)Studying Consumer Emotions and Purchase Preferences in a Virtual Reality Environment: A Bibliometric AnalysisMarketing of Scientific and Research Organizations10.2478/minib-2024-001252:2(105-128)Online publication date: 25-Jun-2024
  • (2023)How in-store sensor technologies can help retailers to understand their customers: overview on two decades of researchThe International Review of Retail, Distribution and Consumer Research10.1080/09593969.2023.227325634:3(381-398)Online publication date: 30-Oct-2023
  • (2022)Nudges-Based Design Method for Adaptive HMI to Improve Driving SafetySafety10.3390/safety80300638:3(63)Online publication date: 5-Sep-2022
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  1. An Emotion Recognition System for monitoring Shopping Experience

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    cover image ACM Other conferences
    PETRA '18: Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference
    June 2018
    591 pages
    ISBN:9781450363907
    DOI:10.1145/3197768
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    • NSF: National Science Foundation

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 June 2018

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    Author Tags

    1. Customer Experience
    2. Emotion Analysis
    3. Emotion Tracking
    4. Shopping Experience

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    View all
    • (2024)Studying Consumer Emotions and Purchase Preferences in a Virtual Reality Environment: A Bibliometric AnalysisMarketing of Scientific and Research Organizations10.2478/minib-2024-001252:2(105-128)Online publication date: 25-Jun-2024
    • (2023)How in-store sensor technologies can help retailers to understand their customers: overview on two decades of researchThe International Review of Retail, Distribution and Consumer Research10.1080/09593969.2023.227325634:3(381-398)Online publication date: 30-Oct-2023
    • (2022)Nudges-Based Design Method for Adaptive HMI to Improve Driving SafetySafety10.3390/safety80300638:3(63)Online publication date: 5-Sep-2022
    • (2022)A Test Management System to Support Remote Usability Assessment of Web ApplicationsInformation10.3390/info1310050513:10(505)Online publication date: 20-Oct-2022
    • (2022)Smart retrofitting for human factors: a face recognition-based system proposalInternational Journal on Interactive Design and Manufacturing (IJIDeM)10.1007/s12008-022-01035-417:1(421-433)Online publication date: 18-Sep-2022
    • (2022)Emotion Analysis Platform to Investigate Student-Teacher InteractionUniversal Access in Human-Computer Interaction. User and Context Diversity10.1007/978-3-031-05039-8_3(35-48)Online publication date: 16-Jun-2022
    • (2021)Designing in-car emotion-aware automationEuropean Transport/Trasporti Europei10.48295/ET.2021.84.5(1-15)Online publication date: Dec-2021
    • (2021)Speech based Emotion Recognition using Machine Learning2021 IEEE Mysore Sub Section International Conference (MysuruCon)10.1109/MysuruCon52639.2021.9641642(613-617)Online publication date: 24-Oct-2021
    • (2020)Customer Experience in Retail: A Systematic Literature ReviewApplied Sciences10.3390/app1021764410:21(7644)Online publication date: 29-Oct-2020
    • (2020)Evaluation of Customer eXperience and Behaviour: A Literature ReviewSocial Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing10.1007/978-3-030-49576-3_13(181-192)Online publication date: 19-Jul-2020
    • Show More Cited By

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