Biometric data sharing in the wild: Investigating the effects on online sports spectators

Abstract

Preprint submitted to Int. J. Human-Computer Studies March 31, 2017 directions within the sporting context.

Sharing biosignals: An analysis of the experiential and communication properties of interpersonal psychophysiology

“…Most research efforts focused on the potential of social biofeedback to enhance the interpersonal relationship between interacting parties. Although the applied measures varied widely, the general finding was that biosignal sharing can increase feelings of connectedness (Buschek et al, 2018;Curmi et al, 2013Curmi et al, , 2017Hassib et al, 2016;Kim et al, 2015;Liu et al, 2017aLiu et al, , 2019Marci & Riess, 2005;Robinson et al, 2016;Slovák et al, 2012), empathy Hassib et al, 2017;, intimacy (Howell et al, 2019;Janssen et al, 2010), affective interdepence (Salminen et al, 2018), and sharing of an experience (Kurvinen et al, 2007;Sun & Tomimatsu, 2017;Walmink, Wilde et al, 2014).…”

“…This seemed to work both ways: senders also reported that they felt biosignal sharing could help them to convey their emotions and mental states to the receiving party (Liu et al, 2017a;Roseway et al, 2015). At the same time, however, other studies found that the shared biosignals were often met with confusion and questions; the ambiguity of and unfamiliarity with this kind of information leaves a lot of room for speculation and personal interpretations (Curmi et al, 2017;Curran et al, 2019;D'Souza et al, 2018;Kurvinen et al, 2007;. Because of that, some of the participants had doubts about the added value of sharing biosignals in communication (Hassib et al, 2016;Liu et al, 2017aLiu et al, , 2019Merrill & Chesire, 2016).…”

“…Multiple studies describe factors that influence the interpretation, such as the way the signals are visualized (Curmi et al, 2013;Liu et al, 2017b), a specific challenge being that the dynamic nature of physiology might make changes too subtle to notice (D'Souza et al, 2018;George & Hassib, 2019;Hassib et al, 2017). Additional contextual factors that influence the interpretation of biosignals are the specific situation (Merrill & Chesire, 2016), the relationship with the recipient (Slovák et al, 2012), and previous knowledge and beliefs about physiological signals (Curmi et al, 2017;Merrill & Chesire, 2017;Liu et al, 2019). This corresponds to reports of recipients who expressed a need to know more about the context of a signal in order for it to be informative (Liu et al, 2017a;Slovák et al, 2012), and senders supplementing their biosignals with additional information in text to achieve mutual understanding (Buschek et al, 2018;D'Souza et al, 2018;Liu et al, 2019).…”

Enhancing Intrinsic Motivation in Physical Activity through Quantified-self Data Sharing

“…Ivanov et al [4] explored factors that impact sharing health-tracking records; they investigated the influence of health motivation, perceived health status, the severity of health, and age on the sharing of self-tracked information. HeartLink [5] is an application that collects real-time personal biometric data in sports events and broadcasts this data online. Hassib et al [6] presented HeartChat as a mobile messaging application that integrates heart rate as a cue to increase the user's awareness and empathy.…”

Walking: A Grounded Theory of Social Engagement and Experience

“…There were examples of this occurring, notably the way the walker's wife used the map generated by the SPOT device to guide the walker in the ground. In some way this use of off-the-shelf software is similar toHeartLink (Curmi, et al 2017), which used a mobile phone apps to relay a runner's heart-rate information to spectators, who could then offer remote encouragement. In both cases passive sensing on the active participant as interpreted by those at a distance using an interface (SPOT map, HeartLinkheart-rate display) and then information/encouragement passed back to the participant -supporting improvement of their self-efficacy and motivation per se (e.g.…”