Christiane AttigUniversity of Lübeck · Institut für Multimediale und Interaktive Systeme
Christiane Attig
Dr. rer. nat.
About
41
Publications
40,523
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1,327
Citations
Introduction
Additional affiliations
September 2016 - March 2023
April 2015 - July 2016
Position
- Student tutor
Description
- General Psychology and Biopsychology
April 2013 - September 2015
Position
- Student tutor
Description
- Cognitive and Engineering Psychology
Education
September 2016 - May 2023
October 2013 - July 2016
October 2010 - September 2013
Publications
Publications (41)
With disruptive innovations in the field of social AI (e.g., Large Language Models having voice abilities, AI agents being able to display false belief understanding), engineering psychology research needs to incorporate theories and paradigms of social psychology more strongly than ever. Indeed, empirical studies and theoretical frameworks from en...
As we shift to designing AI agents as teammates rather than tools, the social aspects of human-AI interaction become more pronounced. Consequently, to develop agents that are able to navigate the social dynamics that accompany cooperative teamwork, evaluation criteria that refer only to objective task performance will not be sufficient. We propose...
Achieving climate neutrality will require a major transformation of the transportation sector, likely leading to a surge in demand for electric vehicles (EVs). This poses a challenge to grid stability due to supply fluctuations of renewable energy resources. At the same time, EVs offer the potential to improve grid stability through managed chargin...
Volltext: https://nbn-resolving.org/urn:nbn:de:bsz:ch1-qucosa2-856347
Die fortlaufend stärkere Durchdringung unseres Alltags mit digitalen Technologien wird besonders deutlich durch tragbare Geräte wie Smartphones, auf die jederzeit zugegriffen werden kann. Noch einen Schritt weiter gehen körpernah getragene, vernetzte Self-Tracking-Systeme wie Ak...
Activity trackers are promising tools to increase the motivation to be physically active, thus strengthening users’ physical constitution and potentially preventing cardiovascular diseases. To establish behavioral changes with such beneficial consequences, prolonged continuous use of trackers seems to be necessary. However, the usage behavior of ma...
Wearable activity trackers (i.e., fitness trackers, smartwatches) are increasingly widely used devices for monitoring various personal activity, fitness, and health parameters which hold the potential to increase physical activity for supporting self-regulation of health and sport behavior (Sullivan & Lachman, 2017). Increasing physical activity is...
Background:
Nutrition apps are effective in changing eating behavior and diet-related health risk factors. However, while they may curb growing overweight and obesity rates, widespread adoption is yet to be achieved. Hence, profound knowledge regarding factors motivating and hindering (long-term) nutrition app use is crucial for developing design...
Podcasts are not only becoming more widespread among listeners. The number of people producing podcasts is also increasing, making podcasts one of the most important participatory media today. To characterize the group of podcasters, however, only few, mainly demographic data are available so far. This study therefore aims to characterize German-sp...
Podcasts erfahren nicht nur auf Seite der Hörenden eine immer stärkere Verbreitung. Auch die Zahl podcastproduzierender Personen steigt und macht Podcasts zu einem der aktuell wichtigsten partizipativen Medien. Zur Charakterisierung der Gruppe der Podcaster:innen liegen allerdings bisher nur wenige, überwiegend demographische Daten vor. Die vorlieg...
Rationale: Wearable activity trackers are a promising solution for motivating users to increase physical activity and, thus, prevent cardiovascular diseases. Unfortunately, many users discontinue activity tracking after just a few months, probably impeding large-scale health effects. Long-term adoption barriers (i.e., abandonment reasons) have been...
BACKGROUND
Nutrition apps are a prototypical mobile health (mHealth) technology supporting healthy eating behavior that are seen as promising tools for health promotion by policy makers. Although nutrition apps are increasingly popular, wide-spread adoption is yet to be achieved. Hence, profound knowledge regarding factors motivating and hindering...
Podcasts erfahren nicht nur auf Seite der Hörenden eine immer stärkere Verbreitung. Auch die Zahl podcastproduzierender Personen steigt und macht Podcasts zu einem der aktuell wichtigsten partizipativen Medien. Zur Charakterisierung der Gruppe der Podcaster*innen liegen allerdings bisher nur wenige, überwiegend demographische Daten vor. Die vorlieg...
Wearable activity trackers hold great potential for facilitating self-regulated health behavior, thereby improving physical fitness and preventing cardiovascular diseases. Unfortunately, many users discontinue tracking after only a few months, mitigating large-scale health effects. To identify usage barriers and psychological mechanisms resulting i...
Seitdem vor etwa 15 Jahren die ersten Podcasts im deutschsprachigen Raum produziert und veröffentlicht wurden, ist die Zahl podcastender Personen enorm gestiegen – ein Ende des Wachstums ist nicht abzusehen. Dennoch sind Podcaster_innen bisher kaum Gegenstand psychologischer Forschung geworden. Wie lassen sich deutschsprachige Podcastproduzierende...
Question: Measuring and monitoring physical activity data via wearable activity trackers is a promising solution for motivating users to increase physical activity, therefore fight obesity and prevent cardiovascular diseases. Despite their widespread adoption, many users discontinue activity tracking after a few months, probably impeding large-scal...
In research and development in general, and in user-centered design (UCD) in particular, study participants have to be representative for the target audience. However, given the voluntary participation in user studies and an ensuing self-selection bias, participants of user studies likely prefer to engage with technology more strongly than the targ...
Automatically detecting and adapting to user competence is a promising approach for advancing human-technology interaction. With the present work, we demonstrate that perceived user competence and performance can be predicted by easily ascertainable low-level mouse interaction parameters with considerable amounts of explained variance. N = 71 users...
Wearable fitness devices (i.e., activity trackers) are increasingly popular for monitoring everyday activity. Research suggests that long-term adherence to activity trackers is relevant for their positive effects on health. Thus, it is essential to understand the factors that foster usage intensity and long-term adherence. Based on first research r...
Rapid technological advancements and growing digitalization increasingly affect our everyday life, leading to a greater need to successfully cope with digital technology. While domain-specific system knowledge is needed, inter-individually differing personality traits also constitute an important personal resource that can facilitate technology int...
Die zunehmende Digitalisierung der Arbeitswelt bietet nicht nur vielversprechende Innovationen zur arbeiterzentrierten, adaptiven Aufgabengestaltung, sondern stellt den Einzelnen auch vor die Herausforderung, in höherem Maße mit digitaler Technik zu interagieren. Für die erfolgreiche Interaktion mit Technik sind zwei Faktoren ausschlaggebend: Wisse...
Affektive Zustände während der Mensch-Computer-Interaktion (MCI) äußern sich durch verschiedenste beobachtbare Indikatoren wie Mimik, Gestik oder physiologische Parameter. Die Erfassung dieser erfordert jedoch zusätzliche Sensoren, die in klassischen Computersystemen nicht implementiert und/oder intrusiv sind. Die Aufzeichnungen des natürlichen Nut...
Affektive Zustände während der Mensch-Computer-Interaktion (MCI) äußern sich durch verschiedenste beobachtbare Indikatoren wie Mimik, Gestik oder physiologische Parameter. Die Erfassung dieser erfordert jedoch zusätzliche Sensoren, die in klassischen Computersystemen nicht implementiert und/oder intrusiv sind. Die Aufzeichnungen des natürlichen Nut...
Inaccuracies in data measurement can impair trustworthiness of activity trackers (i.e., wearable fitness devices) and, thus, constitute a usability challenge possibly impairing user acceptance. With the present research, we aim at advancing understanding of perceived trustworthiness of activity tracker measurement and its relevance for user accepta...
Die zunehmende Digitalisierung der Arbeitswelt bietet nicht nur vielversprechende Innovationen zur arbeiterzentrierten, adaptiven Aufgabengestaltung, sondern stellt den Einzelnen auch vor die Herausforderung, in höherem Maße mit digitaler Technik zu interagieren. Für die erfolgreiche Interaktion mit Technik sind zwei Faktoren ausschlaggebend: Wisse...
Wearable fitness devices (i.e., activity trackers) are increasingly popular for monitoring everyday activity. Research suggests that long-term adherence to activity trackers is relevant for their positive effects on health. Thus, it is essential to understand the factors that foster usage intensity and long-term adherence. Based on first research r...
Presentation held at the Innteract Conference 2018 in Chemnitz, Germany. The ATI Scale was introduced and first results on a user study in cooperation with the project Factory2Fit were presented.
Personal quantification is one fundamental mechanism of gamification. Activity trackers constitute a prototypic case for studying the psychological dynamics of this mechanism. Despite their high potential to increase physical activity, health and well-being, the effects of trackers on users’ motivation to be physically active have yet rarely been e...
Successful coping with technology is relevant for mastering daily life. Based on related conceptions, we propose affinity for technology interaction (ATI), defined as the tendency to actively engage in intensive technology interaction, as a key personal resource for coping with technology. We present the 9-item ATI scale, an economical unidimension...
Successful coping with technology is relevant for mastering daily life. Based on related conceptions, we propose affinity for technology interaction (ATI), defined as the tendency to actively engage in intensive technology interaction, as a key personal resource for coping with technology. We present the 9-item ATI scale, an economical unidimensio...
In a world that is increasingly pervaded by technology, the ability to successfully interact with technology is of crucial importance for participation in everyday life. However, this interaction constitutes a challenge for a considerable amount of users with low technological competence. The growing field of affective computing offers fruitful met...
The Affinity for Technology Interaction Scale (ATI) was presented, including first empirical results regarding scale reliability and validity (N ≈ 1400).
Poster presenting our review regarding personality scales used in HCI research as well as a newly developed scale to assess affinity for technology interaction (ATI).
Latency or system response time (i.e., the delay between user input and system response) is a fundamental factor affecting human-computer interaction (HCI). If latency exceeds a critical threshold, user performance and experience get impaired. Therefore, several design guidelines giving recommendations on maximum latencies for an optimal user exper...
For a comprehensive understanding of user diversity, a reliable and valid assessment of stable user characteristics is essential. In the field of human-technology interaction, a plethora of personality-related constructs linked to the experience of and interaction with technical systems has been discussed. A key question for researchers in the fiel...
Measuring gaze behaviour is useful to understand the cognitive processes involved in vehicle control and to test new assistance technology. In the following chapter we will introduce the driving task and outline how the eye-tracking methodology can be used to get insights into the cognitive processes that guide driving behaviour. Furthermore, we wi...
Why do people differ in terms of their music preferences? A simple question – however, music psychology has been trying to answer it for decades. One of the most important approaches to explaining individual differences in music preferences is correlating personality traits such as openness to experience (OE; Rentfrow & Gosling, 2003) or intelligen...
Questions
Question (1)
Hello,
I already asked this question in the Brainmap forum which belongs to the GingerALE software. However, so far I haven't got any reply over there and I'm in need of an answer. I hope you can help me out with this.
I'm quite new to GingerALE and I hope to get some help on an issue I've come across. I have done an ALE analysis under supervision before and now I did the first one on my own.
This is how I proceeded:
First, I gathered all relevant coordinates and transformed the ones reported according to Talairach into MNI space using the non-linear transformation by Lacadie et al. (http://sprout022.sprout.yale.edu/mni2tal/mni2tal.html) - as previously recommended by my supervisor. Then I ran the analysis in MNI space. I am currently checking the results and noticed that the Labels and Brodmann areas which are depicted in the Output Excel sheet are different from the ones I get when I type the coordinated into the Web application by Lacadie. For instance, with the MNI coordinates -50, -38, 24 from the ALE output file, I get Left BA40 (inferior parietal lobule) on the Lacadie Website while the coordinates are depicted as Left BA13 (Insula) in the Excel sheet (which is quite a difference).
Should I trust the labels in the ALE output file or should I double check them using another application for identifying the Brodmann areas? If so, do you have any recommendations?
