{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T22:20:09Z","timestamp":1778883609851,"version":"3.51.4"},"reference-count":42,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2016,10,5]],"date-time":"2016-10-05T00:00:00Z","timestamp":1475625600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Hum Factors"],"published-print":{"date-parts":[[2017,3]]},"abstract":"<jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>The objective of the present research was to understand drivers\u2019 interaction patterns with hybrid electric vehicles\u2019 (HEV) eco-features (electric propulsion, regenerative braking, neutral mode) and their relationship to fuel efficiency and driver characteristics (technical system knowledge, eco-driving motivation).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>\n                      Eco-driving (driving behaviors performed to achieve higher fuel efficiency) has the potential to reduce CO\n                      <jats:sub>2<\/jats:sub>\n                      emissions caused by road vehicles. Eco-driving in HEVs is particularly challenging due to the systems\u2019 dynamic energy flows. As a result, drivers are likely to show diverse eco-driving behaviors, depending on factors like knowledge and motivation. The eco-features represent an interface for the control of the systems\u2019 energy flows.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method:<\/jats:title>\n                    <jats:p>A sample of 121 HEV drivers who had constantly logged their fuel consumption prior to the study participated in an online questionnaire.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Drivers\u2019 interaction patterns with the eco-features were related to fuel efficiency. A common factor was identified in an exploratory factor analysis, characterizing the intensity of actively dealing with electric energy, which was also related to fuel efficiency. Driver characteristics were not related to this factor, yet they were significant predictors of fuel efficiency.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>From the perspective of user\u2013energy interaction, the relationship of the aggregated factor to fuel efficiency emphasizes the central role of drivers\u2019 perception of and interaction with energy conversions in determining HEV eco-driving success.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Application:<\/jats:title>\n                    <jats:p>To arrive at an in-depth understanding of drivers\u2019 eco-driving behaviors that can guide interface design, authors of future research should be concerned with the psychological processes that underlie drivers\u2019 interaction patterns with eco-features.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/0018720816670819","type":"journal-article","created":{"date-parts":[[2016,10,4]],"date-time":"2016-10-04T22:59:45Z","timestamp":1475621985000},"page":"314-327","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":20,"title":["The Role of Interaction Patterns with Hybrid Electric Vehicle Eco-Features for Drivers\u2019 Eco-Driving Performance"],"prefix":"10.1177","volume":"59","author":[{"given":"Matthias G.","family":"Arend","sequence":"first","affiliation":[{"name":"Technische Universit\u00e4t Chemnitz, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Franke","sequence":"additional","affiliation":[{"name":"University of L\u00fcbeck, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2016,10,5]]},"reference":[{"key":"bibr1-0018720816670819","doi-asserted-by":"publisher","DOI":"10.1016\/j.ergon.2006.12.003"},{"key":"bibr2-0018720816670819","doi-asserted-by":"publisher","DOI":"10.1016\/0749-5978(91)90020-T"},{"key":"bibr3-0018720816670819","doi-asserted-by":"publisher","DOI":"10.1037\/0033-295X.89.4.369"},{"key":"bibr4-0018720816670819","doi-asserted-by":"publisher","DOI":"10.1016\/j.enpol.2009.10.021"},{"key":"bibr5-0018720816670819","doi-asserted-by":"publisher","DOI":"10.1049\/iet-its.2010.0137"},{"key":"bibr6-0018720816670819","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2003.09.003"},{"key":"bibr7-0018720816670819","doi-asserted-by":"publisher","DOI":"10.1049\/iet-its.2010.0126"},{"key":"bibr8-0018720816670819","doi-asserted-by":"publisher","DOI":"10.1037\/0033-2909.112.1.155"},{"key":"bibr9-0018720816670819","doi-asserted-by":"publisher","DOI":"10.1177\/0018720809344977"},{"key":"bibr10-0018720816670819","doi-asserted-by":"publisher","DOI":"10.1126\/science.1188566"},{"key":"bibr11-0018720816670819","doi-asserted-by":"publisher","DOI":"10.1016\/j.enpol.2012.04.024"},{"key":"bibr12-0018720816670819","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2011.03.002"},{"key":"bibr13-0018720816670819","doi-asserted-by":"publisher","DOI":"10.3758\/BRM.41.4.1149"},{"key":"bibr14-0018720816670819","doi-asserted-by":"publisher","DOI":"10.3758\/BF03193146"},{"key":"bibr15-0018720816670819","volume-title":"Discovering statistics using SPSS","author":"Field A. 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