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This study responds to Agnieszka Landowska’s paper about the lack of accuracy in emotion recognition.

The approach is purely theoretical. The paper also refers to empirical studies.

The author first elaborates on Landowska’s “postulates” (normative guidelines) and then shortly expands on how virtual chatbots such as “AI therapists” pose considerable challenges to emotion recognition algorithms as well.

This viewpoint’s value is to elaborate and expand on an ongoing discussion on emotion recognition technologies.

This paper aims to fill this gap (infra, originality) by providing a conceptual framework for discussing “technologies of the self and other,” by showing that, in most cases, self-tracking also involves other-tracking.

In so doing, we draw upon Foucault’s “technologies of the self” and present-day literature on self-tracking technologies. We elaborate on two cases and practical domains to illustrate and discuss this mutual process: first, the quantified workplace; and second, quantification by wearables in a non-clinical and self-initiated context.

The main conclusion is that these shapings are never (morally) neutral and have ethical implications, such as regarding “quantified otherness,” a notion we propose to point at the risk that the other could become an object of examination and competition.

Although there is ample literature on the quantified self, considerably less attention is given to how the relation with the other is being shaped by self-tracking technologies that allow data sharing (e.g. wearables or apps such as Strava or RunKeeper).