Effect of Imperfect Information and Action Automation on Attentional Allocation
| Autor: | Benoît Valéry, Liên Wioland, Eugénie Avril, Julien Cegarra, Jordan Navarro |
|---|---|
| Přispěvatelé: | Sciences de la Cognition, Technologie, Ergonomie (SCoTE), Institut national universitaire Champollion [Albi] (INUC), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Laboratoire d'Etude des Mécanismes Cognitifs (EMC), Université Lumière - Lyon 2 (UL2), Institut national de recherche et de sécurité (Vandoeuvre lès Nancy) (INRS ( Vandoeuvre lès Nancy)), ANR-16-CE26-0017,SMART-PLANNING,Planification intelligente des tournées de transport de marchandises(2016) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Monitoring
business.industry Computer science 05 social sciences Perfect information Human Factors and Ergonomics Reliability Automation 050105 experimental psychology Computer Science Applications Human-Computer Interaction [SCCO]Cognitive science Risk analysis (engineering) Action (philosophy) Information 0501 psychology and cognitive sciences Attention business 050107 human factors |
| Zdroj: | International Journal of Human-Computer Interaction International Journal of Human-Computer Interaction, Taylor & Francis, 2021, 37 (11), pp.1063-1073. ⟨10.1080/10447318.2020.1870817⟩ |
| ISSN: | 1044-7318 1532-7590 |
| DOI: | 10.1080/10447318.2020.1870817⟩ |
| Popis: | International audience; Previous research has suggested that information and action automation stages do not imply the same consequences for human performance in the supervision of automated systems. Still, only a few studies have simultaneously investigated these stages. When information and action automation are reliable, both can support performance. However, with unreliable aids, the literature has suggested that action automation tends to be more detrimental than information automation. This study aimed to assess the contributions of imperfect information and action automation on attentional allocation and to investigate a potential monitoring inefficiency in a multitasking environment. Participants (n = 96) completed three Multi-Attribute Task Battery (MATB) tasks. A monitoring task was automated with two types of automation (action or information) of four reliabilities each (0%; 56.25%; 87.5%; 100%). Ocular behaviors and performance were assessed. Results show that reliability of information automation influenced visual resource allocation. When information automation was the most reliable, participants spent the least amount of time sampling the monitoring task. Finally, the reliability of action automation triggered no effect on performance or cumulative dwell times. Our results suggest that in complex multitasking situations where information and action automation occurred simultaneously, participants allocated fewer visual resources to automated task with increased information automation reliability. Similarly, their performance was better only with increased information automation. |
| Databáze: | OpenAIRE |
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