TUMO Labs

TUMO Labs & SAP

Future of Self-service

About the Project

When “self-service” places responsibility on users to accomplish their tasks, this handover of agency comes with a burden. Users must adjust to systems, instead of systems adjusting to what users need. Even documentation or support still leaves the user primarily on their own to figure things out. Self-service experiences tend to be “one-size fits-all” with minimal or no consideration of the underlying multi-level needs, goals, and feelings of the user. 

This project aims to redefine self-service experiences to be truly about the “self” through the power of empathy that will take into consideration the user’s goals and issues, as well as information from their social environment. 

The “Future of Self-Service” project by TUMO Labs and the world’s largest enterprise software company consists of 3 challenges, to which you may apply as an individual or in a team. 

 

Project Start Date: July 6, 2022
Duration: 3-4 months
Language` english
Format: online
Deadline to apply: June 19, 2022
Fee: Tuition-free
Eligibility: Anyone over 18 with the required pre-existing skills, individually or in a team

Attention: It’s possible to apply to multiple challenges, but you must choose one for your final project.

Today, adaptive software systems and interfaces are a novel paradigm within applications, particularly enterprise applications, yet emerging research and early applications indicate a rising trend in this direction.

Expected outcome:

  • Literature review from the origin of adaptive systems research and similar concepts to today.
  •  Identification of branching or adjacent research directions to user adaptation in software systems.
  •  Technical guidelines or best practices formed on the basis of the literature review.

Prerequisites:

Students or young experts in the STEM field (Science, Technology, Engineering, Mathematics).

apply

Attention: it’s possible to apply to multiple challenges, but you must choose one for your final project.
Students must submit a 200-word motivational letter or 90-second video in ENGLISH stating why they choose a certain challenge and why they are interested in an SAP Project. If students are applying as a group the video or letter can be submitted as one for each group.
Within enterprise contexts, data points for understanding user behavior and analysis are typically limited. Usually, only keystroke, graphical UI action traces, or other data captured with common peripheral devices (e.g.,computer mouse) are likely to be available. Publicly available datasets in this space may have lower applicability within enterprise software contexts and are generally lacking.

Expected outcome:

  • Creation of a dataset.
  • Learnings and best practices from methodological approach to dataset creation.
  • Data exploration findings with regards to inferring user context.
  • Feasibility analysis

Prerequisites

Students with a data science, computer science, or related studies background.
apply
Attention: it’s possible to apply to multiple challenges, but you must choose one for your final project.
Students must submit a 200-word motivational letter or 90-second video in ENGLISH stating why they choose a certain challenge and why they are interested in an SAP Project. If students are applying as a group the video or letter can be submitted as one for each group.
Data driven User Experience (UX) Evaluation is a very hot topic in the software industry. Analyzing UX surveys can deliver detailed information on UX, but it does not scale very well, since users have to fill out surveys by hand. Analyzing clickstream data scales better but does not offer detailed insights into what users actually experience. Analyzing a user’s facial expression while he interacts with an application could be a scalable way to get detailed information on UX.

Expected outcome:

  • Reusable code that allows to understand the model building and evaluation process.
  • A discussion regarding the impact of the real-time and webcam-image constraints on the model accuracy.
  • Suggestions for future experiments.

Prerequisites

Students with a data science, computer science, mathematics, or related background.
apply
Attention: it’s possible to apply to multiple challenges, but you must choose one for your final project.
Students must submit a 200-word motivational letter or 90-second video in ENGLISH stating why they choose a certain challenge and why they are interested in an SAP Project. If students are applying as a group the video or letter can be submitted as one for each group.