Steve Harrison

HC
h-index33
3papers
14citations
Novelty22%
AI Score15

3 Papers

12.4HCMay 4, 2020
Crafting, Communality, and Computing: Building on Existing Strengths To Support a Vulnerable Population

Aakash Gautam, Deborah Tatar, Steve Harrison

In Nepal, sex-trafficking survivors and the organizations that support them have limited resources to assist the survivors in their on-going journey towards reintegration. We take an asset-based approach wherein we identify and build on the strengths possessed by such groups. In this work, we present reflections from introducing a voice-annotated web application to a group of survivors. The web application tapped into and built upon two elements of pre-existing strengths possessed by the survivors -- the social bond between them and knowledge of crafting as taught to them by the organization. Our findings provide insight into the array of factors influencing how the survivors act in relation to one another as they created novel use practices and adapted the technology. Experience with the application seemed to open knowledge of computing as a potential source of strength. Finally, we articulate three design desiderata that could help promote communal spaces: make activity perceptible to the group, create appropriable steps, and build in fun choices.

5.4HCNov 8, 2018
Towards Connecting Experiences during Collocated Events through Data Mining and Visualization

Shuo Niu, D. Scott McCrickard, Steve Harrison

Themed collocated events, such as conferences, workshops, and seminars, invite people with related life experiences to connect with each other. In this era when people record lives through the Internet, individual experiences exist in different forms of digital contents. People share digital life records during collocated events, such as sharing blogs they wrote, Twitter posts they forwarded, and books they have read. However, connecting experiences during collocated events are challenging. Not only one is blind to the large contents of others, identifying related experiential items depends on how well experiences are retrieved. The collection of personal contents from all participants forms a valuable group repository, from which connections between experiences can be mined. Visualizing same or related experiences inspire conversations and support social exchange. Common topics in group content also help participants generate new perspectives about the collocated group. Advances in machine learning and data visualization provide automated approaches to process large data and enable interactions with data repositories. This position paper promotes the idea of event mining: how to utilize state-of-the-art data processing and visualization techniques to design event mining systems for connecting experiences during collocated activities. We discuss empirical and constructive problems in this design space, and our preliminary study of deploying a tabletop-based system, BlogCloud, which supports experience re-visitation and exchange with machine-learning and data visualization.

7.3HCFeb 13, 2018
Opportunity in Conflict: Understanding Tension Among Key Groups on the Trail

Lindah Kotut, Michael Horning, Steve Harrison et al.

This paper examines the question of who technology users on the trail are, what their technological uses and needs are, and what conflicts exist between different trail users regarding technology use and experience, toward understanding how experiences of trail users contribute to designers. We argue that exploring these tensions provide opportunities for design that can be used to both mitigate conflicts and improve community on the trail.