Browsing by Author "Bolchini, Davide P."

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    The effect of shared dynamic understanding on willingness to contribute information: design and analysis of a mega-collaborative interface
    (2016-05-06) Newlon, Christine Mae; Bolchini, Davide P.; Faiola, Anthony; McDaniel, Anna M.; MacDorman, Karl F.
    Collaborative helping via social networking conversation threads can pose serious challenges in emergency situations. Interfaces that support complex group interaction and sense-making can help. This research applies human-computer interaction (HCI), computer-supported cooperative work (CSCW), and collaboration engineering in developing an interactive design, the Mega-Collaboration Tool (MCT). The goal is to reduce the cognitive load of a group’s growing mental model, thus increasing the general public’s ability to organize spontaneous collaborative helping. The specific aims of this research include understanding the dynamics of mental model negotiation and determining whether MCT can assist the group’s sense-making ability without increasing net cognitive load. The proposed HCI theory is that interfaces supporting collaborative cognition motivate contribution and reduce information bias, thus increasing the information shared. These research questions are addressed: 1. Does MCT support better collaborative cognition? 2. Does increasing the size of the shared data repository increase the amount of information shared? 3. Does this happen because group members experience 1) a greater sense of strategic commitment to the knowledge structure, 2) increased intrinsic motivation to contribute, and 3) reduced resistance to sharing information? These questions were affirmed to varying degrees, giving insight into the collaborative process. Greater content did not motive group members directly; instead, half of their motivation came from awareness of their contribution’s relevance. Greater content and organization improved this awareness, and also encouraged sharing through increased enthusiasm and reduced bias. Increased commitment was a result of this process, rather than a cause. Also, MCT increased collaborative cognition but was significantly hampered by Internet performance. This challenge indicates MCT’s system components should be redesigned to allow asynchronous interaction. These results should contribute to the development of MCT, other collaboration engineering applications, and HCI and information science theory.
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    Naturalistic Decision Making in Everyday Self-care Among Older Adults With Heart Failure
    (Wolters Kluwer, 2020-12-23) Daley, Carly N.; Cornet, Victor P.; Toscos, Tammy R.; Bolchini, Davide P.; Mirro, Michael J.; Holden, Richard J.; Regenstrief Institute, School of Medicine
    BACKGROUND: Every day, older adults living with heart failure make decisions regarding their health that may ultimately affect their disease trajectory. Experts describe these decisions as instances of naturalistic decision making influenced by the surrounding social and physical environment and involving shifting goals, high stakes, and the involvement of others. OBJECTIVE: This study applied a naturalistic decision-making approach to better understand everyday decision making by older adults with heart failure. METHODS: We present a cross-sectional qualitative field research study using a naturalistic decision-making conceptual model and critical incident technique to study health-related decision making. The study recruited 24 older adults with heart failure and 14 of their accompanying support persons from an ambulatory cardiology center. Critical incident interviews were performed and qualitatively analyzed to understand in depth how individuals made everyday health-related decisions. RESULTS: White, male (66.7%), older adults' decision making accorded with a preliminary conceptual model of naturalistic decision making occurring in phases of monitoring, interpreting, and acting, both independently and in sequence, for various decisions. Analyses also uncovered that there are barriers and strategies affecting the performance of these phases, other actors can play important roles, and health decisions are made in the context of personal priorities, values, and emotions. CONCLUSIONS: Study findings lead to an expanded conceptual model of naturalistic decision making by older adults with heart failure. In turn, the model bears implications for future research and the design of interventions grounded in the realities of everyday decision making.