Assessment of an emotions induction technique using stimuli from interactive digital products
In this work we propose a new and innovative process for the induction of emotional states, through visual stimulus based on interactive user interfaces (UI), to create a dataset of emotional physiological signals that can be used in the evaluation of the user experience (UX). Most existing datasets...
Gespeichert in:
Veröffentlicht in: | Revista IEEE América Latina 2022-09, Vol.20 (9), p.2162-2171 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2171 |
---|---|
container_issue | 9 |
container_start_page | 2162 |
container_title | Revista IEEE América Latina |
container_volume | 20 |
creator | Jaime-Diaz, Karen Gonzalez-Serna, Gabriel Gonzalez-Franco, Nimrod Mujica-Vargas, Dante Fragoso-Diaz, Olivia Graciela |
description | In this work we propose a new and innovative process for the induction of emotional states, through visual stimulus based on interactive user interfaces (UI), to create a dataset of emotional physiological signals that can be used in the evaluation of the user experience (UX). Most existing datasets of emotional physiological signals, were generated based on images and videos, which are not useful for analysis of emotions in the evaluation process of the user experience, for this reason in this research, we propose a new emotional induction process that allows the creation of a physiological emotion dataset focused on the evaluation process of user experience. The population sample used for the generated emotional induction process is 15 users, 7 women and 8 men, which culminated in the creation of a dataset of 333 physiological signal files plus data from the SAM questionnaires and knowing the user. The information from these questionnaires was used to perform the statistical analysis of the data, which helped to determine the relationship that exists between the study variables. Some of the future activities planned are to increase the sample size of the datase, increase the repository of stimuli for digital products, etc. |
doi_str_mv | 10.1109/TLA.2022.9878172 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_9878172</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9878172</ieee_id><sourcerecordid>2711059470</sourcerecordid><originalsourceid>FETCH-LOGICAL-c174t-6ab67a6ade018b415fd0eb04b8f5199067d0040fe5d15512a1db625af8c0ccd73</originalsourceid><addsrcrecordid>eNpNkE1LAzEQhoMoWKt3wUvA89ZJutlkj0X8goKXepSQ3UxqSne3JlnBf29Kq3iagXnemeEh5JrBjDGo71bLxYwD57NaScUkPyETJkpVQF3z03_9ObmIcQMwV5WaT8j7IkaMscM-0cFR01PshuSHPlLf27HdtzRh-9H7zxHpGH2_pjH5btx66sLQZSxhMBn8Qmr92iezpbsw7LPxkpw5s414daxT8vb4sLp_LpavTy_3i2XRMlmmojJNJU1lLAJTTcmEs4ANlI1ygtU1VNIClOBQWCYE44bZpuLCONVC21o5n5Lbw958OL8Zk94MY-jzSc1l1iPqUkKm4EC1YYgxoNO74DsTvjUDvZeos0S9l6iPEnPk5hDxiPiH_05_AGomb2Y</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2711059470</pqid></control><display><type>article</type><title>Assessment of an emotions induction technique using stimuli from interactive digital products</title><source>IEEE Electronic Library (IEL)</source><creator>Jaime-Diaz, Karen ; Gonzalez-Serna, Gabriel ; Gonzalez-Franco, Nimrod ; Mujica-Vargas, Dante ; Fragoso-Diaz, Olivia Graciela</creator><creatorcontrib>Jaime-Diaz, Karen ; Gonzalez-Serna, Gabriel ; Gonzalez-Franco, Nimrod ; Mujica-Vargas, Dante ; Fragoso-Diaz, Olivia Graciela</creatorcontrib><description>In this work we propose a new and innovative process for the induction of emotional states, through visual stimulus based on interactive user interfaces (UI), to create a dataset of emotional physiological signals that can be used in the evaluation of the user experience (UX). Most existing datasets of emotional physiological signals, were generated based on images and videos, which are not useful for analysis of emotions in the evaluation process of the user experience, for this reason in this research, we propose a new emotional induction process that allows the creation of a physiological emotion dataset focused on the evaluation process of user experience. The population sample used for the generated emotional induction process is 15 users, 7 women and 8 men, which culminated in the creation of a dataset of 333 physiological signal files plus data from the SAM questionnaires and knowing the user. The information from these questionnaires was used to perform the statistical analysis of the data, which helped to determine the relationship that exists between the study variables. Some of the future activities planned are to increase the sample size of the datase, increase the repository of stimuli for digital products, etc.</description><identifier>ISSN: 1548-0992</identifier><identifier>EISSN: 1548-0992</identifier><identifier>DOI: 10.1109/TLA.2022.9878172</identifier><language>eng</language><publisher>Los Alamitos: IEEE</publisher><subject>Datasets ; Electrocardiography ; Electroencephalography ; Emotional factors ; Emotional Induction Process ; Emotions ; Evaluation ; Human-Computer Interaction ; IEEE transactions ; Instruments ; Physiological Sensors ; Physiology ; Questionnaires ; Statistical analysis ; User experience ; User Experience Evaluation ; User interfaces ; Videos ; Visual stimuli</subject><ispartof>Revista IEEE América Latina, 2022-09, Vol.20 (9), p.2162-2171</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0001-8665-4096 ; 0000-0002-1874-9402 ; 0000-0002-1051-1379 ; 0000-0001-5697-8794 ; 0000-0001-8512-1941</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9878172$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9878172$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Jaime-Diaz, Karen</creatorcontrib><creatorcontrib>Gonzalez-Serna, Gabriel</creatorcontrib><creatorcontrib>Gonzalez-Franco, Nimrod</creatorcontrib><creatorcontrib>Mujica-Vargas, Dante</creatorcontrib><creatorcontrib>Fragoso-Diaz, Olivia Graciela</creatorcontrib><title>Assessment of an emotions induction technique using stimuli from interactive digital products</title><title>Revista IEEE América Latina</title><addtitle>T-LA</addtitle><description>In this work we propose a new and innovative process for the induction of emotional states, through visual stimulus based on interactive user interfaces (UI), to create a dataset of emotional physiological signals that can be used in the evaluation of the user experience (UX). Most existing datasets of emotional physiological signals, were generated based on images and videos, which are not useful for analysis of emotions in the evaluation process of the user experience, for this reason in this research, we propose a new emotional induction process that allows the creation of a physiological emotion dataset focused on the evaluation process of user experience. The population sample used for the generated emotional induction process is 15 users, 7 women and 8 men, which culminated in the creation of a dataset of 333 physiological signal files plus data from the SAM questionnaires and knowing the user. The information from these questionnaires was used to perform the statistical analysis of the data, which helped to determine the relationship that exists between the study variables. Some of the future activities planned are to increase the sample size of the datase, increase the repository of stimuli for digital products, etc.</description><subject>Datasets</subject><subject>Electrocardiography</subject><subject>Electroencephalography</subject><subject>Emotional factors</subject><subject>Emotional Induction Process</subject><subject>Emotions</subject><subject>Evaluation</subject><subject>Human-Computer Interaction</subject><subject>IEEE transactions</subject><subject>Instruments</subject><subject>Physiological Sensors</subject><subject>Physiology</subject><subject>Questionnaires</subject><subject>Statistical analysis</subject><subject>User experience</subject><subject>User Experience Evaluation</subject><subject>User interfaces</subject><subject>Videos</subject><subject>Visual stimuli</subject><issn>1548-0992</issn><issn>1548-0992</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkE1LAzEQhoMoWKt3wUvA89ZJutlkj0X8goKXepSQ3UxqSne3JlnBf29Kq3iagXnemeEh5JrBjDGo71bLxYwD57NaScUkPyETJkpVQF3z03_9ObmIcQMwV5WaT8j7IkaMscM-0cFR01PshuSHPlLf27HdtzRh-9H7zxHpGH2_pjH5btx66sLQZSxhMBn8Qmr92iezpbsw7LPxkpw5s414daxT8vb4sLp_LpavTy_3i2XRMlmmojJNJU1lLAJTTcmEs4ANlI1ygtU1VNIClOBQWCYE44bZpuLCONVC21o5n5Lbw958OL8Zk94MY-jzSc1l1iPqUkKm4EC1YYgxoNO74DsTvjUDvZeos0S9l6iPEnPk5hDxiPiH_05_AGomb2Y</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Jaime-Diaz, Karen</creator><creator>Gonzalez-Serna, Gabriel</creator><creator>Gonzalez-Franco, Nimrod</creator><creator>Mujica-Vargas, Dante</creator><creator>Fragoso-Diaz, Olivia Graciela</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0001-8665-4096</orcidid><orcidid>https://orcid.org/0000-0002-1874-9402</orcidid><orcidid>https://orcid.org/0000-0002-1051-1379</orcidid><orcidid>https://orcid.org/0000-0001-5697-8794</orcidid><orcidid>https://orcid.org/0000-0001-8512-1941</orcidid></search><sort><creationdate>20220901</creationdate><title>Assessment of an emotions induction technique using stimuli from interactive digital products</title><author>Jaime-Diaz, Karen ; Gonzalez-Serna, Gabriel ; Gonzalez-Franco, Nimrod ; Mujica-Vargas, Dante ; Fragoso-Diaz, Olivia Graciela</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c174t-6ab67a6ade018b415fd0eb04b8f5199067d0040fe5d15512a1db625af8c0ccd73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Datasets</topic><topic>Electrocardiography</topic><topic>Electroencephalography</topic><topic>Emotional factors</topic><topic>Emotional Induction Process</topic><topic>Emotions</topic><topic>Evaluation</topic><topic>Human-Computer Interaction</topic><topic>IEEE transactions</topic><topic>Instruments</topic><topic>Physiological Sensors</topic><topic>Physiology</topic><topic>Questionnaires</topic><topic>Statistical analysis</topic><topic>User experience</topic><topic>User Experience Evaluation</topic><topic>User interfaces</topic><topic>Videos</topic><topic>Visual stimuli</topic><toplevel>online_resources</toplevel><creatorcontrib>Jaime-Diaz, Karen</creatorcontrib><creatorcontrib>Gonzalez-Serna, Gabriel</creatorcontrib><creatorcontrib>Gonzalez-Franco, Nimrod</creatorcontrib><creatorcontrib>Mujica-Vargas, Dante</creatorcontrib><creatorcontrib>Fragoso-Diaz, Olivia Graciela</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Revista IEEE América Latina</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jaime-Diaz, Karen</au><au>Gonzalez-Serna, Gabriel</au><au>Gonzalez-Franco, Nimrod</au><au>Mujica-Vargas, Dante</au><au>Fragoso-Diaz, Olivia Graciela</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of an emotions induction technique using stimuli from interactive digital products</atitle><jtitle>Revista IEEE América Latina</jtitle><stitle>T-LA</stitle><date>2022-09-01</date><risdate>2022</risdate><volume>20</volume><issue>9</issue><spage>2162</spage><epage>2171</epage><pages>2162-2171</pages><issn>1548-0992</issn><eissn>1548-0992</eissn><abstract>In this work we propose a new and innovative process for the induction of emotional states, through visual stimulus based on interactive user interfaces (UI), to create a dataset of emotional physiological signals that can be used in the evaluation of the user experience (UX). Most existing datasets of emotional physiological signals, were generated based on images and videos, which are not useful for analysis of emotions in the evaluation process of the user experience, for this reason in this research, we propose a new emotional induction process that allows the creation of a physiological emotion dataset focused on the evaluation process of user experience. The population sample used for the generated emotional induction process is 15 users, 7 women and 8 men, which culminated in the creation of a dataset of 333 physiological signal files plus data from the SAM questionnaires and knowing the user. The information from these questionnaires was used to perform the statistical analysis of the data, which helped to determine the relationship that exists between the study variables. Some of the future activities planned are to increase the sample size of the datase, increase the repository of stimuli for digital products, etc.</abstract><cop>Los Alamitos</cop><pub>IEEE</pub><doi>10.1109/TLA.2022.9878172</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-8665-4096</orcidid><orcidid>https://orcid.org/0000-0002-1874-9402</orcidid><orcidid>https://orcid.org/0000-0002-1051-1379</orcidid><orcidid>https://orcid.org/0000-0001-5697-8794</orcidid><orcidid>https://orcid.org/0000-0001-8512-1941</orcidid></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1548-0992 |
ispartof | Revista IEEE América Latina, 2022-09, Vol.20 (9), p.2162-2171 |
issn | 1548-0992 1548-0992 |
language | eng |
recordid | cdi_ieee_primary_9878172 |
source | IEEE Electronic Library (IEL) |
subjects | Datasets Electrocardiography Electroencephalography Emotional factors Emotional Induction Process Emotions Evaluation Human-Computer Interaction IEEE transactions Instruments Physiological Sensors Physiology Questionnaires Statistical analysis User experience User Experience Evaluation User interfaces Videos Visual stimuli |
title | Assessment of an emotions induction technique using stimuli from interactive digital products |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T18%3A06%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessment%20of%20an%20emotions%20induction%20technique%20using%20stimuli%20from%20interactive%20digital%20products&rft.jtitle=Revista%20IEEE%20Am%C3%A9rica%20Latina&rft.au=Jaime-Diaz,%20Karen&rft.date=2022-09-01&rft.volume=20&rft.issue=9&rft.spage=2162&rft.epage=2171&rft.pages=2162-2171&rft.issn=1548-0992&rft.eissn=1548-0992&rft_id=info:doi/10.1109/TLA.2022.9878172&rft_dat=%3Cproquest_RIE%3E2711059470%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2711059470&rft_id=info:pmid/&rft_ieee_id=9878172&rfr_iscdi=true |