Investigation of scenarios format delivery in user studies for future technology

Liu, Xia; Hermawati, Setia

Abstract

Manufacturing is a domain that is heavily influenced by and relies on future technology which have direct effects on its employees. It is known that user studies are required to ensure that products or systems meet requirement from and are accepted by potential users. However, it is difficult to explore users' responses for future technology that users have no direct experience and knowledge. ContraVison is one of user study methods and is commonly used to study perceptions and acceptance of new future technology. Participants are typically exposed to positive and negative scenarios. This study investigates how different format of scenarios delivery (video, audio and text) in a modified ContraVision affects the richness of information that could be obtained from potential users. Thirty participants were recruited and divided evenly into three groups of user studies. Data was collected through semi-structured interviews and thematic analysis was used. There was no significant effect of the scenarios format delivery on the richness of information that could be obtained from participants in these three groups, although there was a trend that video offers richer information than audio and text. However, further study was required to ascertain this finding as limited characteristics and number of participants in this study might have an impact on the results of current study.

Citation

Liu, X., & Hermawati, S. (2022, April). Investigation of scenarios format delivery in user studies for future technology. Presented at International Conference of Ergonomics and Human Factors 2022, Birmingham, UK and online

• Presentation Conference Type: Presentation / Talk
• Conference Name: International Conference of Ergonomics and Human Factors 2022
• Start Date: Apr 25, 2022
• End Date: Apr 26, 2022
• Deposit Date: Mar 24, 2022
• Publicly Available Date: Jul 14, 2022
• Keywords: ContraVision; smart manufacturing; user study; scenarios
• Public URL: https://nottingham-repository.worktribe.com/output/7648570
• Publisher URL: https://virtual.oxfordabstracts.com/#/event/2561/submission/35
• Related Public URLs: https://vimeo.com/703673257/edfc621e96
• Additional Information: Paper given as a video recording (technology presentation 35) delivered as part of the session held Monday, 25 April, 2022 15:20-17:05.