The User-Oriented Design and Practice of HMI

Duan, Yu An; Song, Hai Tao; Sun, Yanming

doi:10.4028/www.scientific.net/amm.58-60.1819

Cited by 3 publications

(2 citation statements)

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“…Data mapping was achieved using Python coding in Dynamo, similar to the approach presented in previous studies [23,24]. Visualizations were then developed using HMI design best practices from industry [26,27] and academic literature [28,29,30]. The data source used for test deployment are the campus work orders from 07/2015 through 12/2017.…”

Section: Methodsmentioning

confidence: 99%

Supporting Post-Occupant Evaluation Through Work Order Evaluation and Visualization in FM-BIM

Pin¹,

Medina²,

McArthur³

2018

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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The application of BIM and data analytics in facility management is an area of growing interest and research. The ability to mine data from occupant complaints in real-time and visualize this at the building and building cluster scale provides new opportunities for facility managers to more effectively respond to occupant complaints and optimize the performance of the building. A project is currently underway at Ryerson University in collaboration with the facility management team to mine data from work orders and develop a comprehensive visualization strategy for FM-BIM integration. This paper presents the development of mapping and data visualization strategies to support the identification of priority areas and extraction of key occupant satisfaction trends. Key visualizations and BIM integration protocols from the campus deployment are presented and discussed to identify applicability of this data to support post-occupancy evaluation, limitations, and opportunities for further expansion and refinement.

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Section: Methodsmentioning

confidence: 99%

Supporting Post-Occupant Evaluation Through Work Order Evaluation and Visualization in FM-BIM

Pin¹,

Medina²,

McArthur³

2018

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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“…Beside cognitive functioning, other personal characteristics might influence peoples' expectations and experience with AV/CAV HMIs, and again this is an under-researched area. Most studies focus on ergonomic factors [40] and general personal characteristics such as age, gender, and values [41]. Other individual factors such as personality, attitudes, and trust seem to be largely over-looked.…”

Section: The Importance Of Considering Individual Differences When Dementioning

confidence: 99%

Investigating Older Adults’ Preferences for Functions Within a Human-Machine Interface Designed for Fully Autonomous Vehicles

Voinescu

Morgan

Alford

et al. 2018

Lecture Notes in Computer Science

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Compared to traditional cars, where the driver has most of their attention allocated on the road and on driving tasks, in fully autonomous vehicles it is likely that the user would not need to intervene with driving related functions meaning that there will be little need for HMIs to have features and functionality relating to these factors. However, there will be an opportunity for a range of other interactions with the user. As such, designers and researchers need to have an understanding of what is actually needed or expected and how to balance the type of functionality they make available. Also, in HMI design, the design principles need to be considered in relation to a range of user characteristics, such as age, and sensory, cognitive and physical ability and other impairments. In this study, we proposed an HMI specially designed for connected autonomous vehicles with a focus on older adults. We examined older adults' preferences of CAV HMI functions, and, the degree to which individual differences (e.g., personality, attitude towards computers, trust in technology, cognitive functioning) correlate with preferences for these functions. Thirty-one participants (M age= 67.52, SD = 7.29), took part in the study. They had to interact with the HMI and rate its functions based on the importance and likelihood of using them. Results suggest that participants prefer adaptive HMIs, with journey planner capabilities. As expected, as it is a CAV HMI, the Information and Entertainment functions are also preferred. Individual differences have limited relationship with HMI preferences.

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User Experience Research on the Human-Computer Interaction System of Connected Car

Han

2019

Advances in Intelligent Systems and Computing

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The User-Oriented Design and Practice of HMI

Cited by 3 publications

References 0 publications

Supporting Post-Occupant Evaluation Through Work Order Evaluation and Visualization in FM-BIM

Supporting Post-Occupant Evaluation Through Work Order Evaluation and Visualization in FM-BIM

Investigating Older Adults’ Preferences for Functions Within a Human-Machine Interface Designed for Fully Autonomous Vehicles

User Experience Research on the Human-Computer Interaction System of Connected Car

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