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Empirical Methods in Requirements Engineering for Sustainability & Health: Building Trust & Engagement
Dr. Meira Levy
Shenkar College, Engineering, Design, Art, Israel
🖂 lmeira@shenkar.ac.il
Trust influences people's perceptions and risk assessment regarding technology, and whether they will use it. The factors that influence trust formation are beyond technological considerations, involving psychological, cognitive, social, and organizational aspects. The main differences between trust in people versus trust in technology are according to the following attributes: competence vs. functionality; benevolence vs. helpfulness; predictability/integrity vs. reliability. Moreover, following the Theory of Reasoned Action it was found that trust formation in recommender system involves both reasoning and feelings that produce emotional trust directly. Trust is a critical factor, especially when Artificial Intelligence (AI) components are integrated into a system, and thus, AI components should be tangible, transparent, reliable with personification characteristics for building cognitive and emotional trust.
In the domains of healthcare promotion, health behavior changes or advance sustainable behavior, the need to engage people and to build trust in technology is even more challenging. Studies showed that people may have trust in technology at the beginning but experiencing with the technology may deteriorate their trust over time.
In my talk I will present studies that cope with “wicked” problems, in health and sustainability domains, where multidisciplinary, human-centered methods were used for developing solutions that may foster both engagement and trust in technology. These studies resulted in developing two frameworks. The first is the Health-Behavior-Change Artificial Intelligence Apps (HBC-AIApp) which is a comprehensive conceptual model and development process that can guide developers how to build HBC-AIApp in order to support trust creation among the app's users. The second is the Sustainable-Health RE (SusHeRE) framework to describe RE processes that address both sustainability and health goals. The framework includes four main SusHeRE goals and their related strategies that are necessary for achieving a positive contribution of RE on sustainability and health. I will further illustrate how these frameworks were examined in several case studies.
At the end of my talk, I wish to discuss with the participants the relevance of these frameworks to empirical studies and how they can shape future research. More specifically, how empirical methods can increase trust and engagement.
Meira Levy is a faculty member at the School of Industrial Engineering and Management and head the entrepreneurship & innovation track, at Shenkar College of Engineering and Design, Israel; she is also a research fellow at the University of Haifa, Israel. She received her academic degrees from the Technion, the Israel Technology Institute. She has extensive experience in the software engineering industry in technical and management positions. Levy research focuses on combining technology and design for promoting wellbeing, health, learning processes, decision-making, knowledge management, software development processes, organizational processes, and service design.
Levy has published papers in international journals and conferences (e.g., in JKM, DSS, JISE, REJ, IEEE Software, Information Technology & People, JSS). She has been serving as an organizer and PC member in conferences (e.g., CHASE, SEKE, ECIS, CENTERIS, CrowdRE and COGNISE) and founded and organizes a conference series on visualization (ISVIS) and a workshop series on requirement engineering for well-being, aging and health (REWBAH).
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