@phdthesis{Huber2023, author = {Huber, Stephan}, title = {Proxemo: Documenting Observed Emotions in HCI}, doi = {10.25972/OPUS-30573}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-305730}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2023}, abstract = {For formative evaluations of user experience (UX) a variety of methods have been developed over the years. However, most techniques require the users to interact with the study as a secondary task. This active involvement in the evaluation is not inclusive of all users and potentially biases the experience currently being studied. Yet there is a lack of methods for situations in which the user has no spare cognitive resources. This condition occurs when 1) users' cognitive abilities are impaired (e.g., people with dementia) or 2) users are confronted with very demanding tasks (e.g., air traffic controllers). In this work we focus on emotions as a key component of UX and propose the new structured observation method Proxemo for formative UX evaluations. Proxemo allows qualified observers to document users' emotions by proxy in real time and then directly link them to triggers. Technically this is achieved by synchronising the timestamps of emotions documented by observers with a video recording of the interaction. In order to facilitate the documentation of observed emotions in highly diverse contexts we conceptualise and implement two separate versions of a documentation aid named Proxemo App. For formative UX evaluations of technology-supported reminiscence sessions with people with dementia, we create a smartwatch app to discreetly document emotions from the categories anger, general alertness, pleasure, wistfulness and pride. For formative UX evaluations of prototypical user interfaces with air traffic controllers we create a smartphone app to efficiently document emotions from the categories anger, boredom, surprise, stress and pride. Descriptive case studies in both application domains indicate the feasibility and utility of the method Proxemo and the appropriateness of the respectively adapted design of the Proxemo App. The third part of this work is a series of meta-evaluation studies to determine quality criteria of Proxemo. We evaluate Proxemo regarding its reliability, validity, thoroughness and effectiveness, and compare Proxemo's efficiency and the observers' experience to documentation with pen and paper. Proxemo is reliable, as well as more efficient, thorough and effective than handwritten notes and provides a better UX to observers. Proxemo compares well with existing methods where benchmarks are available. With Proxemo we contribute a validated structured observation method that has shown to meet requirements formative UX evaluations in the extreme contexts of users with cognitive impairments or high task demands. Proxemo is agnostic regarding researchers' theoretical approaches and unites reductionist and holistic perspectives within one method. Future work should explore the applicability of Proxemo for further domains and extend the list of audited quality criteria to include, for instance, downstream utility. With respect to basic research we strive to better understand the sources leading observers to empathic judgments and propose reminisce and older adults as model environment for investigating mixed emotions.}, subject = {Gef{\"u}hl}, language = {en} } @phdthesis{Eisenbarth2008, author = {Eisenbarth, Hedwig}, title = {Assessment of emotional detachment in psychopathy via self-report and an emotion detection task}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-27817}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2008}, abstract = {The personality construct of psychopathy is subject of growing research, but data on psychopathy in female incarcerated and in non-institutionalized samples are rare. In this thesis emotional detachment as one factor of psychopathy is investigated in general population, in patients and in incarcerated samples. After verifying the validity of the Psychopathy Personality Inventory Revised (PPI-R) measuring emotional detachment, the sensitivity of the questionnaire concerning emotional detachment has been proven. Additionally it has been shown that symptoms of attention deficit and hyperactivity disorder can be distinguished from psychopathic traits by emotional detachment. In addition, these results confirm the core role of the feature emotional detachment for psychopathy. Furthermore, two emotion recognition tasks have been conducted in a criminal female inpatients sample. Compared to the low psychopathic patients, the high psychopathic patients showed deficits in categorization only in shortly presented sad facial expressions, but rated emotional facial expressions as less arousing. These results point to emotional detachment as a core characteristic of psychopathy, and is specific even in non-incarcerated and female incarcerated samples. It can be measured with the PPI-R as well as with emotion detection tasks.}, subject = {Psychopathie}, language = {en} }