| 1. |
- Alce, Günter, et al.
(författare)
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Exploring Different User Interfaces for Automatic Tracking of Free Weight Exercises Using Computer Vision
- 2023
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Ingår i: Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2023. - 2184-4984. - 9789897586453 ; 2023-April, s. 143-150
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Konferensbidrag (refereegranskat)abstract
- Several research studies have shown the importance of physical exercise. The global gym and fitness industry faced a transition from traditional gyms to virtual fitness training during the pandemic lockdowns. A proliferation of applications is available to provide different digital gym experiences. Advagym is one example that uses sensors to track and give feedback to gym goers. Sony's R&D Center Lund Laboratory has developed a Camera-based Tracking System (CTS) which aims to offer an automatic free weight exercise tracking solution with Advagym. The main goal of this paper is to align the Advagym application combined with CTS for free weight exercise (FWE) tracking and to conduct a comparative study of four different user interfaces presenting FWE tracking to increase the user experience. The main contribution of this paper is to elucidate knowledge about which UI feedback of FWE given for the “gym-goer” was preferred.
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| 2. |
- Alce, Günter, et al.
(författare)
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Exploring Different User Interfaces for Velocity based Training using Smart Gym Machines : Pilot Study
- 2021
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Ingår i: ICT4AWE 2021 - Proceedings of the 7th International Conference on Information and Communication Technologies for Ageing Well and e-Health. - 2184-4984. - 9789897585067 ; 2021-April, s. 113-120
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Konferensbidrag (refereegranskat)abstract
- With the emerging technology called the Internet of Things (IoT), we can now connect computing devices and sensors to the Internet. The IoT sensors serve to collect data, pushing it and sharing it with a whole network of connected devices. We decided to explore how to utilize IoT data to increase the user experience from a commercial gym application called Advagym. Advagym is a commercial solution already available in the market, which aims to digitize the gym experience, where a retrofit solution is used to fit IoT devices on gym machines to track performance data from users’ workouts. The main goal of this paper is to utilize IoT data from Advagym’s IoT sensors for velocity-based training (VBT) and conduct a comparative study of three different user interfaces presenting VBT data to increase the user experience. The main contribution of this paper is an analysis of user preferences regarding the user interface of VBT feedback during a gym workout.
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| 3. |
- Booth, Frederick, et al.
(författare)
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A Mental Health and Well-Being Chatbot : User Event Log Analysis
- 2023
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Ingår i: JMIR mhealth and uhealth. - : JMIR Publications. - 2291-5222. ; 11
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Tidskriftsartikel (refereegranskat)abstract
- Background: Conversational user interfaces, or chatbots, are becoming more popular in the realm of digital health and well-being. While many studies focus on measuring the cause or effect of a digital intervention on people’s health and well-being (outcomes), there is a need to understand how users really engage and use a digital intervention in the real world.Objective: In this study, we examine the user logs of a mental well-being chatbot called ChatPal, which is based on the concept of positive psychology. The aim of this research is to analyze the log data from the chatbot to provide insight into usage patterns, the different types of users using clustering, and associations between the usage of the app’s features.Methods: Log data from ChatPal was analyzed to explore usage. A number of user characteristics including user tenure, unique days, mood logs recorded, conversations accessed, and total number of interactions were used with k-means clustering to identify user archetypes. Association rule mining was used to explore links between conversations.Results: ChatPal log data revealed 579 individuals older than 18 years used the app with most users being female (n=387, 67%). User interactions peaked around breakfast, lunchtime, and early evening. Clustering revealed 3 groups including “abandoning users” (n=473), “sporadic users” (n=93), and “frequent transient users” (n=13). Each cluster had distinct usage characteristics, and the features were significantly different (P<.001) across each group. While all conversations within the chatbot were accessed at least once by users, the “treat yourself like a friend” conversation was the most popular, which was accessed by 29% (n=168) of users. However, only 11.7% (n=68) of users repeated this exercise more than once. Analysis of transitions between conversations revealed strong links between “treat yourself like a friend,” “soothing touch,” and “thoughts diary” among others. Association rule mining confirmed these 3 conversations as having the strongest linkages and suggested other associations between the co-use of chatbot features.Conclusions: This study has provided insight into the types of people using the ChatPal chatbot, patterns of use, and associations between the usage of the app’s features, which can be used to further develop the app by considering the features most accessed by users.
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| 4. |
- Boyd, Kyle, et al.
(författare)
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Usability testing and trust analysis of a mental health and wellbeing chatbot
- 2022
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Ingår i: Proceedings of the 33rd European Conference on Cognitive Ergonomics (ECCE 2022). - New York, NY, USA : Association for Computing Machinery.
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Konferensbidrag (refereegranskat)abstract
- Mental health chatbots are particularly useful for those who are isolated and may have difficulty attending services or for those who are reluctant to speak to a professional. In this study, the usability and trust of a chatbot known as ’ChatPal’ has been assessed. ChatPal has been developed by an interdisciplinary team encompassing health service providers, local authorities, charities and universities to promote positive mental wellbeing among individuals in rural areas across Europe. This study employed a usability test protocol to recruit representative users to complete a set of tasks using the ChatPal chatbot. Usability issues were assessed along with trust and users’ satisfaction on the System Usability Scale and the Chatbot Usability Questionnaire. The study shows the usability issues and trust with a mental health chatbot and highlights recommendations for improvement.
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| 5. |
- Danielsson, Karin, 1977-, et al.
(författare)
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Digital technology in healthcare and elderly care
- 2017
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Ingår i: ECCE 2017. - New York, NY, USA : Association for Computing Machinery (ACM). - 9781450352567 ; , s. 188-190
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- The focus of this ECCE 2017 panel is on digital technology in healthcare and elderly care. The discussion concerns the design of technology and the use of technology for health.
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| 6. |
- Hallberg, Josef, et al.
(författare)
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HomeRuleML : a model for the exchange of decision support rules within smart environments
- 2007
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Ingår i: IEEE International Conference on Automation Science and Engineering, 2007. - Piscataway, NJ : IEEE Communications Society. - 1424411548 - 9781424411542 ; , s. 513-520
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Konferensbidrag (refereegranskat)abstract
- The demands for smart environments, which can help to facilitate as well as monitor independent living are increasing. With this comes a desire for decision support rules to process data recorded from such environments. However, testing and evaluating rules can be both time-consuming and indeed stressful for the inhabitants. Within this paper we propose a model, referred to as HomeRuleML, for representing decision support rules for smart environments. The motivating factor behind such a proposal is to provide a widely and freely accessible set of rules which can be openly used and exchanged within the research domain and beyond. This model has the potential to decrease the time required for deployment, and inevitability improve the inhabitants' quality of life. In the paper we explain in detail the structure of adopting this approach and also provide an indication of the typical types of software tools required for its use.
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| 7. |
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| 8. |
- Meiland, Franka J., et al.
(författare)
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COGKNOW Development and evaluation of an ICT-device for people with mild dementia
- 2007
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Ingår i: Medical and Care Compunetics 4. ; , s. 166-177
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Konferensbidrag (refereegranskat)abstract
- Dementia is a progressive, chronic disease affecting 5% of all persons above 65 and over 40% of people over 90. The aim of the COGKNOW project is to achieve a breakthrough with research that addresses the needs of those with dementia, particularly those with mild dementia living in the community. This entails cognitive reinforcement in four main areas: helping people to remember, helping to maintain social contact, helping with performing daily life and recreational activities and finally enhance feelings of safety. Based on a sound foundation of needs reported in dementia literature, workshops and individual interviews have been carried out with dementia sufferers and their carers in three European countries. A ranked analysis of information from workshops and interviews, and the state of the art of successful ICT solutions will be the basis for formulating the functionalities of the technical solution and for the development of a cognitive prosthetic device with associated services for people with mild dementia. The research and evaluation will be conducted from human factors, technology, and business perspectives in three phases of one year each. In this paper we discuss the design of the COGKNOW project, the first results of the user needs inquiry workshops and the ICT solutions the COGKNOW project will focus on in the first year.
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| 9. |
- Meiland, Franka J., et al.
(författare)
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COGKNOW: Development of an ICT device to support people with dementia
- 2007
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Ingår i: Journal on Information Technology in Healthcare. - 1479-649X. ; 5:5, s. 324-334
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Tidskriftsartikel (refereegranskat)abstract
- Objective: To develop a successful user-validated cognitive prosthetic device with associated services to help persons with mild dementia.Setting: The ICT solution will be developed by a consortium of eleven institutes in eight countries in Europe. It will be tested and evaluated by users (persons with dementia and their carers) in 3 European cities - Amsterdam, Belfast and Luleå.Methods: To identify and analyse the needs of persons with dementia, workshops and interviews were conducted with Alzheimer patients suffering from mild dementia, and their carers in three European cities. A literature search was also performed to identify existing proven effective ICT solutions for persons with dementia.Results: The most important needs and the most preferred ICT solutions identified by participants were (i) Activity reminders e.g. for eating meals; (ii) Item locators; (iii) Picture dialling to keep in contact with family and friends; (iv) Support for pleasure activities; (v) Enhancement of feelings of safety. Conclusion: Based on the needs identified, a prototype solution will be built, tested and modified as an iterative process. The device will ultimately be evaluated to see if it can enhance feelings of autonomy and quality of life of persons with dementia.
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| 10. |
- Mulvenna, Maurice, et al.
(författare)
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Designing & evaluating a cognitive prosthetic for people with mild dementia
- 2011
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Ingår i: ECCE 10. - New York : ACM Digital Library. - 9781605589466 ; , s. 11-18
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Konferensbidrag (refereegranskat)abstract
- Motivation - Develop a portable, mobile information and communication device with specific applications that meet the identified needs of people with mild dementia. Research approach - A qualitative study with a user centred design was applied: Three iterative development cycles of one year each were performed, in which around 15 persons with mild dementia and their carers participated in each cycle of development to attune the functions and form of the cognitive prosthetic to their needs and wishes. A mixed methods approach of qualitative interviews and standardised tools were used for the evaluations that were performed by formulating research questions and assigning appropriate methods for data collection before, during and after the field tests at the end of each development cycle. Findings/Design - The COGKNOW Day Navigator consists of a touch screen, a mobile device, sensors, a home hub and a central server. Several features such as colours and icons, can be adjusted to personal preferences, which was much appreciated by users. The functions to support people in their daily activities were overall appreciated, though there were individual differences in preferences and abilities to use them. Research limitations/Implications - It was recommended to perform an impact study within the target group for a longer period of time when the system is considered stable and to make use of a randomised controlled design in a larger study population. Originality/Value - The research built upon previous evidence of needs of people with mild dementia and the findings are valuable in directing further research and innovation. However, it was found that this technology can be complex to implement in a manner that ensures good quality of service delivery during field tests. Take away message - The work has shown the value of designing an analysis framework for development of assistive technology that gives a strong voice to people with dementia and their carers.
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