Abstract
This paper presents a user modelling system that facilitates developing and using interfaces for people with wide range of abilities. It consists of a simulator that helps designers to understand, visualize and measure effect of physical impairment on user interfaces. The modelling system also consists of a web service to customize static features (like font size, colour contrast) of an interface and a pointing facilitation module that predicts users’ intended target. The paper highlights applications of the system in product design and developing a web based geo-tagging application for reporting civic, healthcare issues and disaster warning messages by elderly users themselves.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Biswas, P., Sarangi, S., Kar, S., Langdon, P.: Application of inclusive user modelling web service. In: UMAP 2014 Adjunct Proceedings (2014)
Biswas, P., Langdon, P.: Developing multimodal adaptation algorithm for mobility impaired users by evaluating their hand strength. Int. J. Hum.-Comput. Interact. (Taylor & Francis) 28(9) (2012). ISSN: 1044-7318
Biswas, P., Langdon, P.: An HCI Survey on Elderly Users of India, Inclusive Designing—Joining Usability, Accessibility, and Inclusion. Springer (2014)
Biswas, P., Robinson, P.: Modelling perception using image processing algorithms. In: 23rd British Computer Society Conference on Human-Computer Interaction (HCI 09)
Biswas, P., Aydemir, G.A., Langdon, P.: Developing and validating a hearing impairment simulator. J. Assistive Technol. 7(3). ISSN: 1754-9450
Biswas, P., Kaklanis, N., Mohamad, Y., Peissner, M., Langdon, P., Tzovaras, D., Jung, C.: An Interoperable and Inclusive User Modelling concept for Simulation and Adaptation, A Multimodal End-2-End Approach to Accessible Computing. Springer (2012)
Biswas, P., Langdon, P., Robinson, P.: Designing inclusive interfaces through user modelling and simulation. Int. J. Hum. Comput. Interact. (Taylor & Francis) 28(1) (2012). ISSN: 1044-7318
Blow, N., Biswas, P.: A pointing facilitation system for motor-impaired users combining polynomial smoothing and time weighted gradient target prediction models. Assistive Technol. (Taylors and Francis) (2016). ISSN: 1040-0435
Cloud4All 2016. http://www.cloud4all.info/. Accessed 17 March 2016
Cuendet, S., Medhi, I., Bali, K., Cutrell, E.: VideoKheti: Making video content accessible to low-literate and novice users. In: ACM Conference on Human Factors in Computing Systems (CHI 13) (2013)
EU VUMS Cluster. http://wiki.iao.fraunhofer.de/index.php/VUMS_-_Virtual_User_Modelling_and_Simulation_Standardisation. Accessed 27 March 2015
Fitts, P.M.: The information capacity of the human motor system in controlling the amplitude of movement. J. Exp. Psychol. 47, 381–391 (1954)
Gajos, K.Z., Wobbrock, J.O., Weld, D.S.: Automatically generating user interfaces adapted to users’ motor and vision capabilities. In: ACM Symposium on User Interface Software and Technology, pp. 231–240 (2007)
GPII 2016. http://gpii.net/. Accessed 17 March 2016
Gupta, A., Balram, N.: Objective comparisons between gesture based exploration based touchscreen text typing keyboards. In: Proceedings of 11th Asia Pacific Conference on Computer Human Interaction (2013)
ITU Technical Report of the Focus Group on Smart Cable Television. http://www.itu.int/dms_pub/itu-t/opb/fg/T-FG-SMART-2013-PDF-E.pdf. Accessed 25 Jan 2013
John, B.E., Kieras, D.: The GOMS family of user interface analysis techniques: comparison and contrast. ACM Trans. Comput. Hum. Interact. 3 (1996)
Langdon, P.M., Godsill, S., Clarkson, P.J.: Statistical estimation of user’s interactions from motion impaired cursor use data. In: 6th International Conference on Disability, Virtual Reality and Associated Technologies (ICDVRAT 2006)
Medhi, I., et. al.: Designing mobile interfaces for novice and low-literacy users. ACM Trans. Comput.-Hum. Interact. 18(1) (2011)
Prabhakar, A.: Electronics for Inclusive Society, ICT-Technology Vision 2035. TIFAC, New Delhi (2016)
Prosperity4All 2016. http://www.prosperity4all.eu/. Accessed 17 March 2016
Qiao, S., et al.: An inertial sensor-based system to develop motor capacity in children with cerebral palsy. In: 35th Annual International Conference of the IEEE EMBS (2013)
Sarcar, S., Panwar, P., Chakraborty, T.: Eyeboard++: An enhanced eye gaze-based text entry system in hindi. In: Proceedings of 11th Asia Pacific Conference on Computer Human Interaction (2013)
Stephanidis, C., Paramythis, A., Sfyrakis, M., Stergiou, A., Maou, N., Leventis, A., Paparoulis, G., Karagiannidis, C.: Adaptable and Adaptive User Interfaces for Disabled Users in the AVANTI Project. Intelligence in Services and Networks. LNCS-1430, pp. 153–166. Springer (1998)
Sharma, S., et. al.: Promoting Joint Attention with Computer Supported Collaboration in Children with Autism. ACM CSCW (2016)
Wobbrock, J.O., Fogarty, J., Liu, S., Kimuro, S., Harada, S.: The angle mouse: target-agnostic dynamic gain adjustment based on angular deviation. In: Proceedings of the 27th International Conference on Human Factors in Computing Systems (CHI ‘09), pp. 1401–1410, New York (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Biswas, P., Halder, A., Maheshwary, K., Arjun, S. (2017). Inclusive Personlization of User Interfaces. In: Chakrabarti, A., Chakrabarti, D. (eds) Research into Design for Communities, Volume 1. ICoRD 2017. Smart Innovation, Systems and Technologies, vol 65. Springer, Singapore. https://doi.org/10.1007/978-981-10-3518-0_26
Download citation
DOI: https://doi.org/10.1007/978-981-10-3518-0_26
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-3517-3
Online ISBN: 978-981-10-3518-0
eBook Packages: EngineeringEngineering (R0)