http://dl.gi.de/handle/20.500.12116/6120 2026-07-23T12:50:29Z 2026-07-23T12:50:29Z Niels, Adelka Janneck, Monique http://dl.gi.de/handle/20.500.12116/6134 2018-03-20T10:59:46Z 2017-01-01T00:00:00Z

The Influence of Computer-Related Attributions on System Evaluation in Usability Testing Niels, Adelka; Janneck, Monique Ziegler, Jürgen Computer-related attributions are cognitions related to the causes and effects of user interactions – or, in other words, subjective explanations of users of why specific system reactions occur. Prior research has revealed different attribution styles, which influence how users interact with computers and how they perceive situations of failure and success. In this paper, we report on a study investigating how computer-related attributions influence users’ perceptions and evaluations of interactive systems. To that end, we conducted usability tests with users and measured both system evaluations and attributions. Results show correlations between attributions and usability as well as user experience measures, indicating that users’ attributions do influence their evaluations of the test systems. Furthermore, gender differences were revealed. Practical and research implications are described.

2017-01-01T00:00:00Z Ziegler, Jürgen http://dl.gi.de/handle/20.500.12116/6136 2018-03-20T10:59:46Z 2017-01-01T00:00:00Z

Editorial Ziegler, Jürgen Ziegler, Jürgen

2017-01-01T00:00:00Z Franken, Sebastian Norbisrath, Ulrich Prinz, Wolfgang http://dl.gi.de/handle/20.500.12116/6135 2018-03-20T10:59:46Z 2017-01-01T00:00:00Z

The Impact of SearchTrails on the Quality of Collaborative Search Franken, Sebastian; Norbisrath, Ulrich; Prinz, Wolfgang Ziegler, Jürgen Several collaborative search systems build upon real-time collaboration during search processes. With the software SearchTrails, we present a novel way of capturing and exchanging the search process between collaborators. We achieve this by asynchronously exchanging the newly developed search trails between collaborators and thus overcome the necessity of real-time interaction for search support. In a study with 29 participants, we evaluate the value of search trails as collaboration artifacts to answer the research question whether search trails improve the quality of collaborative search results. We confirm this and show that users can build upon work of co-searchers in a very efficient way by analyzing and extending the given search trails.

2017-01-01T00:00:00Z Ullrich, Daniel http://dl.gi.de/handle/20.500.12116/6130 2018-03-20T10:59:46Z 2017-01-01T00:00:00Z

Robot Personality Insights. Designing Suitable Robot Personalities for Different Domains Ullrich, Daniel Ziegler, Jürgen With the development of social robots that are primarily designed for interacting with humans, particular facets of interaction need to be explored. One of them is the manifestation of robot personalities, which have the potential to raise acceptance and enhance user experience if done appropriate – or ruin both if done wrong.The present paper argues for the relevance of suitable robot personalities and discusses the factors that affect suitability, in particular interaction domain and personal preferences.An experiment () with four different interaction scenarios (goal- and experience oriented) and three robot personalities (positive, neutral, negative) was performed to explore effects of personality and domain on personality suitability and acceptance. Results indicate that users can differentiate between different robot personalities and evaluate accordingly. In a goal-oriented stressful situation (train-ticket purchase under time pressure) the neutral personality was rated best. In experience-oriented scenarios, the positive robot personality was preferred. In the context of strictly performance oriented tasks, the effect of robot personality seems to be insignificant. Personal preferences for personalities seem to be influential, however, no clear pattern could be found.Lastly, directions for future research are depicted and implications for researchers and designers are discussed.

2017-01-01T00:00:00Z