Evaluating and validating emotion elicitation using English and Arabic movie clips on a Saudi sample
With the advancement of technology in both hardware and software, estimating human affective states has become possible. Currently, movie clips are used as they are a widely-accepted method of eliciting emotions in a replicable way. However, cultural differences might influence the effectiveness of...
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| Format: | Article |
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Multidisciplinary Digital Publishing Institute
2020
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| Online Access: | https://hdl.handle.net/1721.1/125308 |
| _version_ | 1811078384953851904 |
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| author | Alghowinem, Sharifa M Goecke, Roland Wagner, Michael Alwabil, Areej |
| author2 | Program in Media Arts and Sciences (Massachusetts Institute of Technology) |
| author_facet | Program in Media Arts and Sciences (Massachusetts Institute of Technology) Alghowinem, Sharifa M Goecke, Roland Wagner, Michael Alwabil, Areej |
| author_sort | Alghowinem, Sharifa M |
| collection | MIT |
| description | With the advancement of technology in both hardware and software, estimating human affective states has become possible. Currently, movie clips are used as they are a widely-accepted method of eliciting emotions in a replicable way. However, cultural differences might influence the effectiveness of some video clips to elicit the target emotions. In this paper, we describe several sensors and techniques to measure, validate and investigate the relationship between cultural acceptance and eliciting universal expressions of affect using movie clips. For emotion elicitation, a standardised list of English language clips, as well as an initial set of Arabic video clips are used for comparison. For validation, bio-signal devices to measure physiological and behavioural responses associated with emotional stimuli are used. Physiological and behavioural responses are measured from 29 subjects of Arabic background while watching the selected clips. For the six emotions’ classification, a multiclass SVM (six-class) classifier using the physiological and behavioural measures as input results in a higher recognition rate for elicited emotions from Arabic video clips (avg. 60%) compared to the English video clips (avg. 52%). These results might reflect that using video clips from the subjects’ culture is more likely to elicit the target emotions. Besides measuring the physiological and behavioural responses, an online survey was carried out to evaluate the effectiveness of the selected video clips in eliciting the target emotions. The online survey, having on average 220 respondents for each clip, supported the findings. ©2019 Keywords: affective computing; cross-culture; emotion elicitation; emotion recognition; physiological responses; emotion stimuli |
| first_indexed | 2024-09-23T10:58:40Z |
| format | Article |
| id | mit-1721.1/125308 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T10:58:40Z |
| publishDate | 2020 |
| publisher | Multidisciplinary Digital Publishing Institute |
| record_format | dspace |
| spelling | mit-1721.1/1253082022-10-01T00:21:23Z Evaluating and validating emotion elicitation using English and Arabic movie clips on a Saudi sample Alghowinem, Sharifa M Goecke, Roland Wagner, Michael Alwabil, Areej Program in Media Arts and Sciences (Massachusetts Institute of Technology) With the advancement of technology in both hardware and software, estimating human affective states has become possible. Currently, movie clips are used as they are a widely-accepted method of eliciting emotions in a replicable way. However, cultural differences might influence the effectiveness of some video clips to elicit the target emotions. In this paper, we describe several sensors and techniques to measure, validate and investigate the relationship between cultural acceptance and eliciting universal expressions of affect using movie clips. For emotion elicitation, a standardised list of English language clips, as well as an initial set of Arabic video clips are used for comparison. For validation, bio-signal devices to measure physiological and behavioural responses associated with emotional stimuli are used. Physiological and behavioural responses are measured from 29 subjects of Arabic background while watching the selected clips. For the six emotions’ classification, a multiclass SVM (six-class) classifier using the physiological and behavioural measures as input results in a higher recognition rate for elicited emotions from Arabic video clips (avg. 60%) compared to the English video clips (avg. 52%). These results might reflect that using video clips from the subjects’ culture is more likely to elicit the target emotions. Besides measuring the physiological and behavioural responses, an online survey was carried out to evaluate the effectiveness of the selected video clips in eliciting the target emotions. The online survey, having on average 220 respondents for each clip, supported the findings. ©2019 Keywords: affective computing; cross-culture; emotion elicitation; emotion recognition; physiological responses; emotion stimuli 2020-05-19T14:34:21Z 2020-05-19T14:34:21Z 2019-05-14 2019-04 2020-03-02T12:52:06Z Article http://purl.org/eprint/type/JournalArticle 1424-8220 https://hdl.handle.net/1721.1/125308 Alghowinem, Sharifa, Roland Goecke, Michael Wagner, and Areej Alwabil, "Evaluating and validating emotion elicitation using English and Arabic movie clips on a Saudi sample." Sensors 19, 10 (May 2019): no. 2218 doi 10.3390/s19102218 ©2019 Author(s) 10.3390/s19102218 Sensors Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ application/pdf Multidisciplinary Digital Publishing Institute Multidisciplinary Digital Publishing Institute |
| spellingShingle | Alghowinem, Sharifa M Goecke, Roland Wagner, Michael Alwabil, Areej Evaluating and validating emotion elicitation using English and Arabic movie clips on a Saudi sample |
| title | Evaluating and validating emotion elicitation using English and Arabic movie clips on a Saudi sample |
| title_full | Evaluating and validating emotion elicitation using English and Arabic movie clips on a Saudi sample |
| title_fullStr | Evaluating and validating emotion elicitation using English and Arabic movie clips on a Saudi sample |
| title_full_unstemmed | Evaluating and validating emotion elicitation using English and Arabic movie clips on a Saudi sample |
| title_short | Evaluating and validating emotion elicitation using English and Arabic movie clips on a Saudi sample |
| title_sort | evaluating and validating emotion elicitation using english and arabic movie clips on a saudi sample |
| url | https://hdl.handle.net/1721.1/125308 |
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