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Sitompul, Taufik Akbar
Publications (4 of 4) Show all publications
Wallmyr, M., Sitompul, T. A. & Chuang, L. L. (2019). 1st Workshop on User Interfaces for Heavy Vehicles: Let’s Get to Work. In: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings: . Paper presented at 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, 21 September 2019 through 25 September 2019 (pp. 1-6). New York
Open this publication in new window or tab >>1st Workshop on User Interfaces for Heavy Vehicles: Let’s Get to Work
2019 (English)In: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings, New York, 2019, p. 1-6Conference paper, Published paper (Other academic)
Abstract [en]

There are more types of vehicles than the automobile. Many are used for purposes other than transporting passengers or goods. They are often dedicated to enable the user in performing specific manual tasks, in parallel to driving. Such heavy vehicles range from construction vehicles, such as excavators and articulated haulers, to agriculture vehicles, such as tractors and harvesters. They also include speciality vehicles such as lifts and cranes. Recent advances in information technology radically increases their productivity and safety. Moreover, heavy vehicles are increasingly sensor and software-driven, as well as connected and integrated with information systems. This development creates new interaction challenges and research areas. The aim of this workshop is to gather practitioners, researchers, and professionals who wish to explore the potential opportunities, identify research challenges, and innovate in the domain of heavy vehicles.

Place, publisher, year, edition, pages
New York: , 2019
Keywords
Automotive interaction, Heavy vehicle interaction, Notifications, Situation awareness
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-45882 (URN)10.1145/3349263.3350757 (DOI)2-s2.0-85073627112 (Scopus ID)9781450369206 (ISBN)
Conference
11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, 21 September 2019 through 25 September 2019
Projects
Immersive Visual Technologies for Safety-critical Applications (ImmerSAFE)ITS-EASY Post Graduate School for Embedded Software and Systems
Funder
EU, Horizon 2020, 764951
Available from: 2019-10-31 Created: 2019-10-31 Last updated: 2019-11-22Bibliographically approved
Sitompul, T. A. & Wallmyr, M. (2019). Analyzing Online Videos: A Complement to Field Studies in Remote Locations. In: 17th IFIP TC 13 International Conference, Paphos, Cyprus, September 2–6, 2019, Proceedings, Part III: . Paper presented at 17th IFIP TC13 International Conference on Human-Computer Interaction, INTERACT 2019; Paphos; Cyprus; 2 September 2019 through 6 September 2019 (pp. 371-389). Cham, 117438
Open this publication in new window or tab >>Analyzing Online Videos: A Complement to Field Studies in Remote Locations
2019 (English)In: 17th IFIP TC 13 International Conference, Paphos, Cyprus, September 2–6, 2019, Proceedings, Part III, Cham, 2019, Vol. 117438, p. 371-389Conference paper, Published paper (Refereed)
Abstract [en]

The paper presents a complementary method, called online video study, to conducting field studies in remote locations, by using available videos on YouTube. There are two driving factors for the online video study. Firstly, there are some occasions where conducting field studies are difficult, for example, due to the remoteness of the location where the research subject is located. Secondly, there is a growing interest among researchers to use available data on the internet as their research data source. To give a context, the study specifically investigates how operators of forest harvesters work in their natural settings. The online video study was started by collecting suitable videos on YouTube using certain criteria. We found 26 videos that meet our criteria, which also provide diverse samples of forest harvesters, operators, and working situations. We used five prior field studies, which investigated forest harvesters-related issues, to evaluate the feasibility of our approach. The results of the online video study method are promising, since we are able to find answers for research questions that we have predefined. The paper does not only contribute to the understanding of how operators of forest harvesters work in natural settings, but also the feasibility of conducting the online video study, which can be utilized when the research subject is located in remote locations.

Place, publisher, year, edition, pages
Cham: , 2019
Series
Lecture Notes in Computer Science, ISSN 0302-9743
Keywords
Field studies, Forest harvesters, Online videos, YouTube
National Category
Computer Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-45582 (URN)10.1007/978-3-030-29387-1_21 (DOI)2-s2.0-85072868444 (Scopus ID)
Conference
17th IFIP TC13 International Conference on Human-Computer Interaction, INTERACT 2019; Paphos; Cyprus; 2 September 2019 through 6 September 2019
Projects
Immersive Visual Technologies for Safety-critical Applications (ImmerSAFE)ITS-EASY Post Graduate School for Embedded Software and Systems
Funder
EU, Horizon 2020, 764951
Available from: 2019-10-17 Created: 2019-10-17 Last updated: 2019-11-22Bibliographically approved
Wallmyr, M., Sitompul, T. A., Holstein, T. & Lindell, R. (2019). Evaluating Mixed Reality Notifications to Support Excavator Operator Awareness. In: 17th IFIP TC 13 International Conference, Paphos, Cyprus, September 2–6, 2019, Proceedings, Part I: . Paper presented at 17th IFIP TC13 International Conference on Human-Computer Interaction, INTERACT 2019; Paphos; Cyprus; 2 September 2019 through 6 September 2019 (pp. 743-762). Cham: Springer, 11746
Open this publication in new window or tab >>Evaluating Mixed Reality Notifications to Support Excavator Operator Awareness
2019 (English)In: 17th IFIP TC 13 International Conference, Paphos, Cyprus, September 2–6, 2019, Proceedings, Part I, Cham: Springer, 2019, Vol. 11746, p. 743-762Conference paper, Published paper (Refereed)
Abstract [en]

Operating heavy vehicles, for instance an excavator, requires a high level of attention to the operation done using the vehicle and awareness of the surroundings. Digital transformation in heavy vehicles aims to improve productivity and user experience, but it can also increase the operators mental load because of a higher demand of attention to instrumentation and controls, subsequently leading to reduced situation awareness. One way to mitigate this, is to display information within the operators’ field of view, which enhances information detectability through quick glances, using mixed reality interfaces. This work explores two types of mixed reality visualizations and compares them to a traditional display setup in a simulated excavator environment. We have utilized eye-tracking glasses to study users’ attention to the task, surrounding awareness, and interfaces, followed by a NASA-RTLX questionnaire to evaluate the users’ reported mental workload. The results indicate benefits for the mixed reality approaches, with lower workload ratings together with an improved rate in detection of presented information.

Place, publisher, year, edition, pages
Cham: Springer, 2019
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 11746
Keywords
Excavator, Head-up display, Heavy-vehicles, Human-vehicle interaction, Mixed reality, Situational awareness
National Category
Computer Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-45583 (URN)10.1007/978-3-030-29381-9_44 (DOI)2-s2.0-85072870944 (Scopus ID)
Conference
17th IFIP TC13 International Conference on Human-Computer Interaction, INTERACT 2019; Paphos; Cyprus; 2 September 2019 through 6 September 2019
Projects
Immersive Visual Technologies for Safety-critical Applications (ImmerSAFE)ITS-EASY Post Graduate School for Embedded Software and Systems
Funder
EU, Horizon 2020, 764951
Available from: 2019-10-17 Created: 2019-10-17 Last updated: 2019-11-18Bibliographically approved
Sitompul, T. A. & Wallmyr, M. (2019). Using Augmented Reality to Improve Productivity and Safety for Heavy Machinery Operators: State of the Art. In: Proceedings of the 17th International Conference on Virtual-Reality Continuum and its Applications in Industry: . Paper presented at 17th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (pp. 8:1-8:9). , Article ID 8.
Open this publication in new window or tab >>Using Augmented Reality to Improve Productivity and Safety for Heavy Machinery Operators: State of the Art
2019 (English)In: Proceedings of the 17th International Conference on Virtual-Reality Continuum and its Applications in Industry, 2019, p. 8:1-8:9, article id 8Conference paper, Published paper (Refereed)
Abstract [en]

The machinery used in industrial applications, such as in agriculture, construction, and forestry, are increasingly equipped with digital tools that aim to aid the operator in task completion, improved productivity, and enhanced safety. In addition, as machines are increasingly connected, there are even more opportunities to integrate external information sources. This situation provides a challenge in mediating the information to the operator. One approach that could be used to address this challenge is the use of augmented reality. This enables the system-generated information to be combined with the user’s perception of the environment. It has the potential to enhance the operators’ awareness of the machine, the surroundings, and the operation that needs to be performed. In this paper, we review the current literature to present the state of the art, discuss the possible benefits, and the use of augmented reality in heavy machinery.

Keywords
augmented reality, mixed reality, see-through interfaces, heavy machinery, heavy vehicle
National Category
Engineering and Technology Computer Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-46209 (URN)10.1145/3359997.3365689 (DOI)2-s2.0-85077121298 (Scopus ID)
Conference
17th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry
Projects
ImmerSafe - Immersive Visual Technologies for Safety-critical ApplicationsITS-EASY Post Graduate School for Embedded Software and Systems
Funder
EU, Horizon 2020, 764951
Available from: 2019-12-01 Created: 2019-12-01 Last updated: 2020-01-09Bibliographically approved
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