Interface: assessment of human-computer interaction by monitoring physiological and other data with a time-resolution of only a few seconds

Earlier publications have shown that a Heart Period Variability (HPV) -based methodology, after careful adaptation, could be a powerful technique for monitoring mental effort in Human-Computer Interaction. This paper outlines the INTERFACE testing workstation developed by researchers of our department. This system is based on the simultaneous assessment of HPV, time data of keystroke and mouse events, video images of users’ behaviour and screen content, etc. It is capable of identifying quality attributes of software elements with a time-resolution of only a few seconds. Our series of experiments demonstrate the practical usability of this improved methodology for testing user interfaces. The method of analysis allows us to decide what types of problems are significant to the users, and what types of problems set back the users only slightly. On the other hand, the method allows us to decide, to what extent the found problems and their assessed severity concern all the users in general, or how these things depend on the type and characteristics of the users. At the end of this paper, we will give a brief description of the further development of this INTERFACE methodology: we are in the process of integrating also another physiological channel – Skin Conductance (SC)

ECSCW 2013 Adjunct Proceedings The 13th European Conference on Computer Supported Cooperative Work 21 - 25. September 2013, Paphos, Cyprus

This volume presents the adjunct proceedings of ECSCW 2013.While the proceedings published by Springer Verlag contains the core of the technical program, namely the full papers, the adjunct proceedings includes contributions on work in progress, workshops and master classes, demos and videos, the doctoral colloquium, and keynotes, thus indicating what our field may become in the future

Accessibility of Health Data Representations for Older Adults: Challenges and Opportunities for Design

Health data of consumer off-the-shelf wearable devices is often conveyed to users through visual data representations and analyses. However, this is not always accessible to people with disabilities or older people due to low vision, cognitive impairments or literacy issues. Due to trade-offs between aesthetics predominance or information overload, real-time user feedback may not be conveyed easily from sensor devices through visual cues like graphs and texts. These difficulties may hinder critical data understanding. Additional auditory and tactile feedback can also provide immediate and accessible cues from these wearable devices, but it is necessary to understand existing data representation limitations initially. To avoid higher cognitive and visual overload, auditory and haptic cues can be designed to complement, replace or reinforce visual cues. In this paper, we outline the challenges in existing data representation and the necessary evidence to enhance the accessibility of health information from personal sensing devices used to monitor health parameters such as blood pressure, sleep, activity, heart rate and more. By creating innovative and inclusive user feedback, users will likely want to engage and interact with new devices and their own data

Mobile information system adoption and use: beliefs and attitudes in mobile context

During the last decades scholars and practitioners have been interested in the reasons why users either accept or reject Information Systems (IS). Users' perceptions of information technology have mainly been studied from acceptance, success, or usability perspectives. Although these research approaches have provided valuable information, they all have a limited view. Thus, there is a need for an integrated framework that fulfills the gaps between different approaches. In this study the acceptance and use of mobile systems are analyzed by combining the results of different disciplines. The main result of the study is a new model for Mobile IS Adoption and Use (MISAU). It integrates the elements of technology acceptance, information system success, and usability studies into a single model. As information system acceptance must always be analyzed in context of use, MISAU is based on the mobile service supply chain. The main differences between stationary and mobile systems can be found in network performance and usability of mobile devices. MISAU serves as a framework for case studies in which the effects of these special characteristics on users' perceptions are analyzed. The results of the study indicate that the ever-increasing transmission speeds of mobile networks are not alone adequate to increase the use of mobile services. Perceived quality of service is an outcome of multiple factors. The successful implementation of a mobile IS requires high quality in all elements of service supply chain (i.e. end-user devices, networks, and services). The small size of mobile devices is a serious threat to usability - especially to text entry and navigation within an application. Further studies are still needed in these sectors