A Behavioral Economic Analysis of Demand for Texting while Driving
Abstract The overarching goal of the present study was to determine whether a behavioral economic framework of demand analysis is applicable to texting while driving. To this end, we developed a novel hypothetical task in which participants receive a text message while driving, and they rated the li...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Hayashi, Yusuke [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Anmerkung: |
© Association for Behavior Analysis International 2019 |
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| Übergeordnetes Werk: |
Enthalten in: The psychological record - New York, NY : Springer, 1937, 69(2019), 2 vom: 18. März, Seite 225-237 |
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| Übergeordnetes Werk: |
volume:69 ; year:2019 ; number:2 ; day:18 ; month:03 ; pages:225-237 |
| Links: |
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| DOI / URN: |
10.1007/s40732-019-00341-w |
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| Katalog-ID: |
SPR037197991 |
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| 520 | |a Abstract The overarching goal of the present study was to determine whether a behavioral economic framework of demand analysis is applicable to texting while driving. To this end, we developed a novel hypothetical task in which participants receive a text message while driving, and they rated the likelihood of replying to a text message immediately versus waiting to reply until arriving at a destination when the fine for texting while driving ranged from $1 to $300. The scenario presented two delays to a destination (15 min and 60 min). For drivers who self-reported a higher frequency of texting while driving the demand for social interaction from texting was more intense and less elastic. Demand was also more intense and less elastic under the 60-min delay condition. The results of this proof-of-concept study suggest that behavioral economic demand analyses are potentially useful for understanding and predicting texting while driving. | ||
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| 700 | 1 | |a Foreman, Anne M. |4 aut | |
| 700 | 1 | |a Wirth, Oliver |4 aut | |
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10.1007/s40732-019-00341-w doi (DE-627)SPR037197991 (SPR)s40732-019-00341-w-e DE-627 ger DE-627 rakwb eng Hayashi, Yusuke verfasserin (orcid)0000-0002-2776-8461 aut A Behavioral Economic Analysis of Demand for Texting while Driving 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Association for Behavior Analysis International 2019 Abstract The overarching goal of the present study was to determine whether a behavioral economic framework of demand analysis is applicable to texting while driving. To this end, we developed a novel hypothetical task in which participants receive a text message while driving, and they rated the likelihood of replying to a text message immediately versus waiting to reply until arriving at a destination when the fine for texting while driving ranged from $1 to $300. The scenario presented two delays to a destination (15 min and 60 min). For drivers who self-reported a higher frequency of texting while driving the demand for social interaction from texting was more intense and less elastic. Demand was also more intense and less elastic under the 60-min delay condition. The results of this proof-of-concept study suggest that behavioral economic demand analyses are potentially useful for understanding and predicting texting while driving. Texting while driving (dpeaa)DE-He213 Demand analysis (dpeaa)DE-He213 Distracted driving (dpeaa)DE-He213 Behavioral economics (dpeaa)DE-He213 College students (dpeaa)DE-He213 Friedel, Jonathan E. aut Foreman, Anne M. aut Wirth, Oliver aut Enthalten in The psychological record New York, NY : Springer, 1937 69(2019), 2 vom: 18. März, Seite 225-237 (DE-627)341342211 (DE-600)2066929-X 2163-3452 nnns volume:69 year:2019 number:2 day:18 month:03 pages:225-237 https://dx.doi.org/10.1007/s40732-019-00341-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 69 2019 2 18 03 225-237 |
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10.1007/s40732-019-00341-w doi (DE-627)SPR037197991 (SPR)s40732-019-00341-w-e DE-627 ger DE-627 rakwb eng Hayashi, Yusuke verfasserin (orcid)0000-0002-2776-8461 aut A Behavioral Economic Analysis of Demand for Texting while Driving 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Association for Behavior Analysis International 2019 Abstract The overarching goal of the present study was to determine whether a behavioral economic framework of demand analysis is applicable to texting while driving. To this end, we developed a novel hypothetical task in which participants receive a text message while driving, and they rated the likelihood of replying to a text message immediately versus waiting to reply until arriving at a destination when the fine for texting while driving ranged from $1 to $300. The scenario presented two delays to a destination (15 min and 60 min). For drivers who self-reported a higher frequency of texting while driving the demand for social interaction from texting was more intense and less elastic. Demand was also more intense and less elastic under the 60-min delay condition. The results of this proof-of-concept study suggest that behavioral economic demand analyses are potentially useful for understanding and predicting texting while driving. Texting while driving (dpeaa)DE-He213 Demand analysis (dpeaa)DE-He213 Distracted driving (dpeaa)DE-He213 Behavioral economics (dpeaa)DE-He213 College students (dpeaa)DE-He213 Friedel, Jonathan E. aut Foreman, Anne M. aut Wirth, Oliver aut Enthalten in The psychological record New York, NY : Springer, 1937 69(2019), 2 vom: 18. März, Seite 225-237 (DE-627)341342211 (DE-600)2066929-X 2163-3452 nnns volume:69 year:2019 number:2 day:18 month:03 pages:225-237 https://dx.doi.org/10.1007/s40732-019-00341-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 69 2019 2 18 03 225-237 |
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10.1007/s40732-019-00341-w doi (DE-627)SPR037197991 (SPR)s40732-019-00341-w-e DE-627 ger DE-627 rakwb eng Hayashi, Yusuke verfasserin (orcid)0000-0002-2776-8461 aut A Behavioral Economic Analysis of Demand for Texting while Driving 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Association for Behavior Analysis International 2019 Abstract The overarching goal of the present study was to determine whether a behavioral economic framework of demand analysis is applicable to texting while driving. To this end, we developed a novel hypothetical task in which participants receive a text message while driving, and they rated the likelihood of replying to a text message immediately versus waiting to reply until arriving at a destination when the fine for texting while driving ranged from $1 to $300. The scenario presented two delays to a destination (15 min and 60 min). For drivers who self-reported a higher frequency of texting while driving the demand for social interaction from texting was more intense and less elastic. Demand was also more intense and less elastic under the 60-min delay condition. The results of this proof-of-concept study suggest that behavioral economic demand analyses are potentially useful for understanding and predicting texting while driving. Texting while driving (dpeaa)DE-He213 Demand analysis (dpeaa)DE-He213 Distracted driving (dpeaa)DE-He213 Behavioral economics (dpeaa)DE-He213 College students (dpeaa)DE-He213 Friedel, Jonathan E. aut Foreman, Anne M. aut Wirth, Oliver aut Enthalten in The psychological record New York, NY : Springer, 1937 69(2019), 2 vom: 18. März, Seite 225-237 (DE-627)341342211 (DE-600)2066929-X 2163-3452 nnns volume:69 year:2019 number:2 day:18 month:03 pages:225-237 https://dx.doi.org/10.1007/s40732-019-00341-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 69 2019 2 18 03 225-237 |
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10.1007/s40732-019-00341-w doi (DE-627)SPR037197991 (SPR)s40732-019-00341-w-e DE-627 ger DE-627 rakwb eng Hayashi, Yusuke verfasserin (orcid)0000-0002-2776-8461 aut A Behavioral Economic Analysis of Demand for Texting while Driving 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Association for Behavior Analysis International 2019 Abstract The overarching goal of the present study was to determine whether a behavioral economic framework of demand analysis is applicable to texting while driving. To this end, we developed a novel hypothetical task in which participants receive a text message while driving, and they rated the likelihood of replying to a text message immediately versus waiting to reply until arriving at a destination when the fine for texting while driving ranged from $1 to $300. The scenario presented two delays to a destination (15 min and 60 min). For drivers who self-reported a higher frequency of texting while driving the demand for social interaction from texting was more intense and less elastic. Demand was also more intense and less elastic under the 60-min delay condition. The results of this proof-of-concept study suggest that behavioral economic demand analyses are potentially useful for understanding and predicting texting while driving. Texting while driving (dpeaa)DE-He213 Demand analysis (dpeaa)DE-He213 Distracted driving (dpeaa)DE-He213 Behavioral economics (dpeaa)DE-He213 College students (dpeaa)DE-He213 Friedel, Jonathan E. aut Foreman, Anne M. aut Wirth, Oliver aut Enthalten in The psychological record New York, NY : Springer, 1937 69(2019), 2 vom: 18. März, Seite 225-237 (DE-627)341342211 (DE-600)2066929-X 2163-3452 nnns volume:69 year:2019 number:2 day:18 month:03 pages:225-237 https://dx.doi.org/10.1007/s40732-019-00341-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 69 2019 2 18 03 225-237 |
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| author |
Hayashi, Yusuke |
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Hayashi, Yusuke misc Texting while driving misc Demand analysis misc Distracted driving misc Behavioral economics misc College students A Behavioral Economic Analysis of Demand for Texting while Driving |
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A Behavioral Economic Analysis of Demand for Texting while Driving Texting while driving (dpeaa)DE-He213 Demand analysis (dpeaa)DE-He213 Distracted driving (dpeaa)DE-He213 Behavioral economics (dpeaa)DE-He213 College students (dpeaa)DE-He213 |
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A Behavioral Economic Analysis of Demand for Texting while Driving |
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behavioral economic analysis of demand for texting while driving |
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A Behavioral Economic Analysis of Demand for Texting while Driving |
| abstract |
Abstract The overarching goal of the present study was to determine whether a behavioral economic framework of demand analysis is applicable to texting while driving. To this end, we developed a novel hypothetical task in which participants receive a text message while driving, and they rated the likelihood of replying to a text message immediately versus waiting to reply until arriving at a destination when the fine for texting while driving ranged from $1 to $300. The scenario presented two delays to a destination (15 min and 60 min). For drivers who self-reported a higher frequency of texting while driving the demand for social interaction from texting was more intense and less elastic. Demand was also more intense and less elastic under the 60-min delay condition. The results of this proof-of-concept study suggest that behavioral economic demand analyses are potentially useful for understanding and predicting texting while driving. © Association for Behavior Analysis International 2019 |
| abstractGer |
Abstract The overarching goal of the present study was to determine whether a behavioral economic framework of demand analysis is applicable to texting while driving. To this end, we developed a novel hypothetical task in which participants receive a text message while driving, and they rated the likelihood of replying to a text message immediately versus waiting to reply until arriving at a destination when the fine for texting while driving ranged from $1 to $300. The scenario presented two delays to a destination (15 min and 60 min). For drivers who self-reported a higher frequency of texting while driving the demand for social interaction from texting was more intense and less elastic. Demand was also more intense and less elastic under the 60-min delay condition. The results of this proof-of-concept study suggest that behavioral economic demand analyses are potentially useful for understanding and predicting texting while driving. © Association for Behavior Analysis International 2019 |
| abstract_unstemmed |
Abstract The overarching goal of the present study was to determine whether a behavioral economic framework of demand analysis is applicable to texting while driving. To this end, we developed a novel hypothetical task in which participants receive a text message while driving, and they rated the likelihood of replying to a text message immediately versus waiting to reply until arriving at a destination when the fine for texting while driving ranged from $1 to $300. The scenario presented two delays to a destination (15 min and 60 min). For drivers who self-reported a higher frequency of texting while driving the demand for social interaction from texting was more intense and less elastic. Demand was also more intense and less elastic under the 60-min delay condition. The results of this proof-of-concept study suggest that behavioral economic demand analyses are potentially useful for understanding and predicting texting while driving. © Association for Behavior Analysis International 2019 |
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A Behavioral Economic Analysis of Demand for Texting while Driving |
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https://dx.doi.org/10.1007/s40732-019-00341-w |
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Friedel, Jonathan E. Foreman, Anne M. Wirth, Oliver |
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10.1007/s40732-019-00341-w |
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2024-07-03T21:38:25.881Z |
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