Learning from the real practices of users of a smart carpooling app
Abstract Aim This paper explores the real practices of users of a smart carpooling application that learns their mobility habits and predicts their future trips to propose relevant matches. Method A combination of usage data and interviews analysis allows us to explore the commuter experience from r...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2020-06-01
|
| Series: | European Transport Research Review |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12544-020-00429-3 |
| _version_ | 1818047478612623360 |
|---|---|
| author | Sonia Adelé Corinne Dionisio |
| author_facet | Sonia Adelé Corinne Dionisio |
| author_sort | Sonia Adelé |
| collection | DOAJ |
| description | Abstract Aim This paper explores the real practices of users of a smart carpooling application that learns their mobility habits and predicts their future trips to propose relevant matches. Method A combination of usage data and interviews analysis allows us to explore the commuter experience from registration to the first and the next shared rides. Findings The results highlight the shortcomings associated with human factors in carpooling and with human-smart system interactions. They show that perceptions of practical constraints and poor counterparts are the major reasons for difficulty in incorporating carpooling into daily mobility. Psychosocial barriers take different forms at different steps of the carpooling experience (search for information or guarantees about other users, the necessity of conversing with others, much uncertainty about how to behave). The fact that the service is smart amplifies these problems and reduces the desire to carpool again because it creates new misunderstandings (i.e., the user does not understand what the system vs. the other users do) and discomfort in relation to other riders (no answer, too many refusals, necessity of refusing, negative carpool experience, or concern over proposing a bad carpool). Despite these difficulties, the users perceive carpooling as a good solution and a positive human experience when the matching is accurate. We propose some recommendations to overcome the identified difficulties. |
| first_indexed | 2024-12-10T10:06:26Z |
| format | Article |
| id | doaj.art-1b0663e81f2149d8921f9b81d748cba4 |
| institution | Directory Open Access Journal |
| issn | 1867-0717 1866-8887 |
| language | English |
| last_indexed | 2024-12-10T10:06:26Z |
| publishDate | 2020-06-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | European Transport Research Review |
| spelling | doaj.art-1b0663e81f2149d8921f9b81d748cba42022-12-22T01:53:13ZengSpringerOpenEuropean Transport Research Review1867-07171866-88872020-06-0112111410.1186/s12544-020-00429-3Learning from the real practices of users of a smart carpooling appSonia Adelé0Corinne Dionisio1COSYS-GRETTIA, Univ Gustave Eiffel, IFSTTARCOSYS-GRETTIA, Univ Gustave Eiffel, IFSTTARAbstract Aim This paper explores the real practices of users of a smart carpooling application that learns their mobility habits and predicts their future trips to propose relevant matches. Method A combination of usage data and interviews analysis allows us to explore the commuter experience from registration to the first and the next shared rides. Findings The results highlight the shortcomings associated with human factors in carpooling and with human-smart system interactions. They show that perceptions of practical constraints and poor counterparts are the major reasons for difficulty in incorporating carpooling into daily mobility. Psychosocial barriers take different forms at different steps of the carpooling experience (search for information or guarantees about other users, the necessity of conversing with others, much uncertainty about how to behave). The fact that the service is smart amplifies these problems and reduces the desire to carpool again because it creates new misunderstandings (i.e., the user does not understand what the system vs. the other users do) and discomfort in relation to other riders (no answer, too many refusals, necessity of refusing, negative carpool experience, or concern over proposing a bad carpool). Despite these difficulties, the users perceive carpooling as a good solution and a positive human experience when the matching is accurate. We propose some recommendations to overcome the identified difficulties.http://link.springer.com/article/10.1186/s12544-020-00429-3Smart carpoolingApplicationUser practicesPracticalPsychosocialInterviews |
| spellingShingle | Sonia Adelé Corinne Dionisio Learning from the real practices of users of a smart carpooling app European Transport Research Review Smart carpooling Application User practices Practical Psychosocial Interviews |
| title | Learning from the real practices of users of a smart carpooling app |
| title_full | Learning from the real practices of users of a smart carpooling app |
| title_fullStr | Learning from the real practices of users of a smart carpooling app |
| title_full_unstemmed | Learning from the real practices of users of a smart carpooling app |
| title_short | Learning from the real practices of users of a smart carpooling app |
| title_sort | learning from the real practices of users of a smart carpooling app |
| topic | Smart carpooling Application User practices Practical Psychosocial Interviews |
| url | http://link.springer.com/article/10.1186/s12544-020-00429-3 |
| work_keys_str_mv | AT soniaadele learningfromtherealpracticesofusersofasmartcarpoolingapp AT corinnedionisio learningfromtherealpracticesofusersofasmartcarpoolingapp |